fdg-pet/ct enables the detection of recurrent same-site deep
TRANSCRIPT
DOI: 10.1161/CIRCULATIONAHA.114.008902
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FDG-PET/CT Enables the Detection of Recurrent Same-Site Deep Vein
Thrombosis by Illuminating Recently Formed, Neutrophil-Rich Thrombus
Running title: Hara et al.; FDG-PET detection of recurrent DVT
Tetsuya Hara, MD, PhD1; Jessica Truelove, BS2; Ahmed Tawakol, MD3;
Gregory R. Wojtkiewicz, MS2; William J. Hucker, MD, PhD3; Megan H. MacNabb, BA3;
Anna-Liisa Brownell, PhD4; Kimmo Jokivarsi, PhD4; Chase W. Kessinger, PhD1;
Michael R. Jaff, DO3; Peter K. Henke, MD5; Ralph Weissleder, MD, PhD2;
Farouc A. Jaffer, MD, PhD1,3
1Cardiovascular Research Center; 2Center for Systems Biology; 3Cardiology Division; 4Martinos
Biomedical Imaging Center, Massachusetts General Hospital, Harvard Medical School, Boston,
MA; 5Section of Vascular Surgery, Dept of Surgery, University of Michigan, Ann Arbor, MI
Address for Correspondence:
Farouc Jaffer, MD, PhD
Cardiovascular Research Center
Massachusetts General Hospital
Simches Research Building, Room 3206
Boston, MA 02114
Tel: 617-724-9353
Fax: 617-860-3180
E-mail: [email protected]
Journal Subject Codes: Diagnostic testing:[32] Nuclear cardiology and PET, Thrombosis:[173] Deep vein thrombosis, Basic science research:[130] Animal models of human disease
Anna-Liisa Brownell, PhD ; Kimmo Jokivarsi, PhD ; Chase W. Kessingerr,, PhPhP DD ;;
Michael R. Jaff, DO3; Peter K. Henke, MD5; Ralph Weissleder, MD, , PhPhPhDDD22;;
Farouc A. Jaffer, MD, PhD1,3
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DOI: 10.1161/CIRCULATIONAHA.114.008902
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Abstract
Background—Accurate detection of recurrent same-site deep vein thrombosis (DVT) is a
challenging clinical problem. As DVT formation and resolution are associated with a
preponderance of inflammatory cells, we investigated whether noninvasive 18F-
fluorodeoxyglucose (FDG)-PET imaging could identify inflamed, recently formed thrombi and
thereby improve the diagnosis of recurrent DVT.
Methods and Results—We established a stasis-induced DVT model in murine jugular veins and
also a novel model of recurrent stasis DVT in mice. C57BL/6 mice (n=35) underwent ligation of
the jugular vein to induce stasis DVT. FDG-PET/CT was performed at DVT timepoints of day 2,
4, 7, 14, or 2+16 (same-site recurrent DVT at day 2 overlying a primary DVT at day 16).
Antibody-based neutrophil depletion was performed in a subset of mice prior to DVT formation
and FDG-PET/CT. In a clinical study, 38 patients with lower extremity DVT or controls
undergoing FDG-PET were analyzed. Stasis DVT demonstrated that the highest FDG signal
occurred at day 2, followed by a time-dependent decrease (p<0.05). Histological analyses
demonstrated that thrombus neutrophils (p<0.01), but not macrophages, correlated with
thrombus PET signal intensity. Neutrophil depletion decreased FDG signals in day 2 DVT
compared to controls (p=0.03). Recurrent DVT demonstrated significantly higher FDG uptake
than organized day 14 DVT (p=0.03). The FDG DVT signal in patients also exhibited a time-
dependent decrease (p<0.01).
Conclusions—Noninvasive FDG-PET/CT identifies neutrophil-dependent thrombus
inflammation in murine DVT, and demonstrates a time-dependent signal decrease in both murine
and clinical DVT. FDG-PET/CT may offer a molecular imaging strategy to accurately diagnose
recurrent DVT.
Key words: deep vein thrombosis, fluorodeoxyglucose, inflammation, recurrent event, positron emission tomography, recurrent DVT, inflammation, neutrophils, molecular imaging
Antibody-based neutrophil depletion was performed in a subset of mice prior too DDDVTVTVT fffororormamamatitit oono
and FDG-PET/CT. In a clinical study, 38 patients with lower extremity DVT or r cocoontnntroroolslsls
undergoing FDG-PET were analyzed. Stasis DVT demonstrated that the highest FDG signal
occcucucurrrrrededed aaatt t dadad y 2,2,2 ffolo lowed by a time-dependentntt ddeecrease (p<0.005)5)5 . HiHiistststoological analyses
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Introduction
Deep vein thrombosis (DVT) and subsequent pulmonary embolism is a major cause of
cardiovascular death.1, 2 The incidence of DVT in industrialized countries is 1–3 individuals per
1,000 per year.1, 3 Furthermore, the risk of recurrent DVT is up to 10% per year in patients with
idiopathic or unprovoked DVT.4 In addition, after DVT treatment, patients may experience
recurrent leg pain due to a recurrent DVT, the post-thrombotic syndrome, or other etiologies.
Failure to diagnose a recurrent DVT places the patient at risk of fatal pulmonary embolism.5
Therefore the accurate diagnosis of a recurrent DVT is critical to preserve health, as well as to
justify prolonged, potentially life-long, anticoagulation and its attendant bleeding risks.
Unfortunately, the diagnosis of a recurrent DVT often poses a significant diagnostic challenge
for anatomical imaging methods such as duplex ultrasonography, computed tomography (CT)
venography, or magnetic resonance venography, as a prior residual thrombus confounds the
diagnosis of acute superimposed on remote thrombus.5, 6 Thus accurate approaches to identify
recurrent DVT are urgently needed.
DVT formation and resolution are time-dependent inflammatory processes that involve
neutrophils and macrophages.7, 8 Since 18-fluorine-fluorodeoxyglucose (FDG) uptake is
upregulated in lesions containing pro-inflammatory myeloid cells such as neutrophils9-11 and
macrophages,12, 13 we hypothesized that FDG-positron emission tomography (PET)-CT could
allow noninvasive imaging of DVT-induced inflammation, and allow the identification of
recurrent DVT even in sites with pre-existing older thrombi. In this study, we systematically
investigated the imaging profile of FDG-PET in murine DVT, and then explored cellular
mechanisms of FDG uptake in DVT, focusing on thrombus neutrophils and macrophages. Then
we developed and validated a novel animal model of recurrent stasis DVT to investigate whether
Unfortunately, the diagnosis of a recurrent DVT often poses a significant diagnososstiiccc chchchalalallelelengngngeet
for anatomical imaging methods such as duplex ultrasonography, computed tomography (CT)
veenononogrgrgraapaphyhyhy, , oor mmmaagagnetic resonance venographyyy,, asas a prior residuauaal thhroroommmbus confounds the
ddidiagggnon sis of aacucuttet supuppererrimimimpopopossesed d ononon rreemmoote ththrrommbmbuus.55,5, 666 TThThuusus aaaccccururatatte apappprprooaoachchhesese ttoo idddeenentitit fyfyy
eecucucurrrrrenene tt DVDVDVTT aarree ururgggenntntlyly nnneeeedededed.d.d.
DVTT fffororormamamatititiononn aanddd rrresee olololututu ioioon n arara e e e titiimememe-d-ddepepepenenendeeentntnt iiinfnfn lalalammmmmmatata ororory yy prprprococo esese seseses s thththata involve
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FDG-PET could specifically identify recurrent DVT in the same site as the primary DVT.
Additionally, in a blinded clinical study, we investigated the temporal profile of FDG uptake in
DVT patients undergoing FDG-PET.
Methods
Mouse model of stasis-induced DVT in jugular vein
Animal studies were approved by the MGH Subcommittee on Research Animal Care. Male
C57BL/6 mice (14-20 weeks) were anesthetized using a mixture of intraperitoneal
ketamine/xylazine. The right main jugular vein and a reliably present large side branch were
surgically ligated with 6-0 nylon sutures to induce stasis DVT, analogous to murine inferior vena
cava (IVC) stasis DVT models.14 As a sham control, the left jugular vein was surgically exposed
and tied loosely without constriction (Fig. 1A). At various timepoints after ligation from day 2
up to day 16, PET/CT imaging was performed, followed by sacrifice and ex vivo analyses (n=4-
6 at each timepoint). A subset of mice (n=3) underwent three-timepoint serial PET/CT imaging
and were sacrificed after the final imaging timepoint (Supplemental Fig. S1). For the recurrent
DVT model (n=6), we removed the suture of the ligation at day 2 to allow recanalization of
thrombosed jugular vein, followed by re-ligation 12 days later to induce recurrent same-site
stasis-induced DVT (Supplemental Fig. S1). We also performed complete ligation of the
contralateral jugular vein at day 2 to enhance recanalization of the first DVT, and to compare a
fresh recurrent DVT and an older DVT in the same mouse.
PET/CT imaging
Following an overnight fast, mice underwent tail vein injection of 15-25 Ci/g of 18F-FDG
(PETNET Solutions, Woburn, MA). One hour later, microPET/CT imaging was performed
urgically ligated with 6-0 nylon sutures to induce stasis DVT, analogous to muririineee infnfnferrerioioior r r vevena
cava (IVC) stasis DVT models.14 As a sham control, the left jugular vein was surgically exposed
annd d d tititiededed lllooooooseseely wwwititi hoh ut constriction (Fig. 1A). AAAt vvarious timepoooini tss afafaftteter ligation from day 2
uup tttoo day 16, PEPEET///CTCTT imamamaggigingngng wwasasa ppeerrffoformmmeddd, fooolllowowededed bbyyy ssasacrcrrifificice e aannddd exexx vvvivivo o anannalallyysyseeses (((n=n=n=4-
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and were saccririrififificeceed d d afafafteteter r thhhee e fiff nananal l l imimmagagginining g g tititimememepopopoinini tt t ((SuSuupppppplelelememementntalala FFFigigig. . S1S1S ).).. FFFororo tttheheh recurrent
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using a small animal scanner (Inveon, Siemens Medical Solutions, Inc., Malvern, PA). CT
imaging preceded PET imaging, with acquisition of 360 cone beam projections using a source
power and current of 80 keV and 500 A, respectively. Mice were injected with an iodinated
contrast agent (Isovue-370) at 20 L/min during the CT scan. Projections were reconstructed
into 3-dimensional volumes containing 512 x 512 x 768 voxels with the dimension of 0.11 x 0.11
x 0.11 mm (Amira, San Diego, CA). The PET image voxel size was 0.797 x 0.861 x 0.861 mm.
Data were calculated as mean and max standardized uptake values (SUVs) and TBR (target-to-
background ratio; DVT/sham).
Induction of neutropenia
A subset of mice (n=4) was treated with anti-neutrophil antibody (Accurate Chemical, NY) to
induce neutropenia.15, 16 The antibody was initially injected (500 g/mouse, i.p.) one day prior to
surgery. Additional doses of the antibody were i.v. administered (250 g/mouse) on
postoperative days 1 and 2 (Supplemental Fig. S1C).
Ex vivo gamma counting and histopathology
See Supplement for full details. After sacrifice, mice were perfused with 0.9% saline via the left
ventricle. Radioactivity of excised jugular veins was measured by a gamma radiation counter
(Wizard, PerkinElmer). In a subset of resected DVT (day 2 timepoint, n=5), the vein wall and
thrombus were gently separated followed by gamma radioactivity measurements. Next, jugular
veins were fixed overnight with paraformaldehyde (PFA) and embedded in optimal cutting
temperature compound (Sakura Finetek, Torrance, CA). Serial 6-�m cryostat sections were
obtained for H&E, Carstairs’ fibrin staining, Masson trichrome, and immunohistochemistry. The
number of thrombus neutrophils and macrophages per 5 high power fields (HPF; 1000x) was
quantified as previously reported.17
A subset of mice (n=4) was treated with anti-neutrophil antibody (Accurate Cheemmmicacc ll,, NNNY)Y)Y) ttto o
nduce neutropenia.15, 16 The antibody was initially injected (500 g/mouse, i.p.) one day prior to
uurgrgrgeereryy. AAAddddd iitioonanal l doses of the antibody y were ii.v.vv. aadministered (((2522 00 g/g/mouse) on
poop ststtooperative dadaysyss 11 aaanddd 22 (((SuSuSupplellememeennttal FFFiigg. SS1CC).
ExEx vvvivivivooo gagagammmmmma aa cococounununtititingngng andndnd hhhisisisttotopapaathththololologogogyy y
See Supplememementntnt fffororor fffululu l ll dedeetatatailili s. AfAfAftetet r r sasasacrcrcrififificicce,e,e mimimicecece wwweereree pepeperfrfrfusu ededd wwwititith hh 0.0.0 9%9%% ssalala ininineee via the leftftt
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Protein extraction and immunoblotting
See supplement.
Clinical FDG-PET study
See Supplement for full details. Access of patient records and analysis of patient data were
approved by the Partners Institutional Review Board. Participants for the clinical imaging sub-
study were consecutively identified from a database of patients who had undergone 18F-FDG-
PET/CT imaging for oncological evaluation at Massachusetts General Hospital. From a clinical
database of 437 patients who underwent PET/CT imaging and also had a clinical diagnosis of
DVT, we consecutively identified 19 patients with iliofemoral DVT and whose FDG-PET
imaging was performed within 6 months after the onset of DVT. Matched control patients were
then identified for each individual with a DVT by: age, sex, malignancy status, chemotherapy
exposure, and steroid immunosuppressive therapy within 6 months. An individual region-of-
interest (ROI) was placed around the area just superior to the popliteal vein and extended to the
inferior of the iliac bifurcation in order to obtain a maximum standardized uptake value
(SUVmax). The average venous blood uptake of the right atrium was used to derive a TBR.18
Patients were then analyzed to assess the time-dependent changes in FDG uptake in DVT and
corresponding vein of matched control patients without a DVT.
Statistics
See Supplement for full details. For animal data, results are expressed as median [25%-75%
quartiles]. Statistical comparisons between two groups were evaluated by the Mann-Whitney U
test, and by the Kruskal-Wallis test for multiple groups followed by the Dunn’s post-test. For
comparison between two groups within the same animal, the Wilcoxon matched-pairs signed
rank test was used. Continuous variables at multiple timepoints were compared by the Friedman
maging was performed within 6 months after the onset of DVT. Matched controolll papapatiiienentststs wwwerere
hen identified for each individual with a DVT by: age, sex, malignancy status, chemotherapy
exxpopoposususurere, anana ddd stterererooioid immunosuppressive therapppy yy wwwithin 6 monththhs.s AAnn n iinindividual region-of-
nnteeerer st (ROI)) wwasas pplalalaceceeddd aararouououndnd ttthhhee aaareeea juuusttt suppeperriorrr ttto o ththhee popoplplititeaeal ll vveeinin aanndnd eeextxtxtenene dded d d d toto thhhe
nnfefefeririiororor ooff thththee ililiiaaccc bibifffurrcrcaatioonon iiinnn ororordederr r totoo ooobbbtaiaiain n n aaa mmamaxixix mumumum m ststs aanandadadardrdr iiizeeded uuuptptptakaka e e e vavvaluuuee
SUVmax). Thehee aaaveveerararagegege vvvennnououous blblb ooooood dd upupupttakakakeee ofofof tthehehe rrrigigi hththt aaatrtrtriuiuium m m wawawasss usususededed ttto o o dedeeriririveveve aaa TTBR.181818
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test. FDG uptake measurements were correlated with histological findings by use of the two-
tailed Spearman method. Statistical comparisons were performed with GraphPad Prism (La Jolla,
CA). Mice that did not develop jugular DVT (histologically negative, n=3) were excluded from
analyses. For clinical data, values are expressed as mean SEM. The Wilcoxon signed-rank test
was used for single comparisons, and after confirming normality of distribution, linear regression
analysis was used to determine the association between FDG uptake and DVT age (SPSS 22,
IBM, Chicago, IL). A value of P<0.05 was considered statistically significant.
Results
Development of a murine stasis-induced DVT model in the jugular vein suitable for FDG-
PET imaging
The surgical ligation-induced stasis model of murine DVT is well established in the IVC.14, 15, 17
However, preliminary experiments with FDG-PET imaging of acute IVC DVT did not allow
thrombus detection due to high FDG background in the kidneys and spine, as well as the
surrounding bowel, an organ with high glucose utilization.19 Therefore we established a new
murine stasis-induced DVT model in the jugular vein, an area of lower background FDG uptake
and a common site of clinical DVT.5 Jugular DVT were readily detected as obstructions on CT
venography, in contrast to sham-operated contralateral jugular veins (Fig. 1A-B). Histological
analyses confirmed fibrin, red blood cells, and white blood cells, similar to the ligation IVC
stasis model (Fig. 1C-E).14, 17, 20
Noninvasive imaging of DVT inflammation by FDG-PET/CT
In vivo 18F-FDG PET/CT imaging was performed from day 2 up to day 16 after jugular vein
ligation. Elevated FDG signal was observed in the right thrombosed jugular vein, with
Development of a murine stasis-induced DVT model in the jugular vein suittabaablell fffororor FFFDGDGD -
PET imaging
ThThee e sususurrgicicicalalal lligatatatioioion-n induced stasis model of mururrinnne DVT is wellll l estatablblbliisished in the IVC.f 14, 15, 17
HHowwwever, prelilimmminnnaryry exxpxpererimimimenentststs wwwiitthh FDDG-G-PEETT immagagagininggg oofof aacuuute IIVCVCVC DDDVTVVT ddididid nnnotott aaalllllowoww
hhroroombmbmbususus dddetetetecectititionnn dduuue ttto o hiighghgh FFFDGDGDG bbbacacackgkgkgrorr ununundd d innn tthhehe kkkidididneneeysysy aandndnd ssppipinnene, , asasas wwwelelell l l aasas ttthehee
urrounding g bobobowewewel,l,l aaan n n ororo gagaannn wiwiiththth hhhigigi h h h glglglucucucososose e e ututu ilililizizzata ioioon.n.n.19 TTThehehererefofoforerere wwweee esese tataablblblisisi hehehed dd a new
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significantly less signal detected in the sham-operated jugular vein (Fig. 2A, FDG-PET).
Thrombosed jugular veins induced a filling defect on CT venography (Fig. 2B, CT) that
colocalized well with FDG-PET signals (Fig. 2C, PET/CT).
18F-FDG accumulation diminishes over time in experimental DVT
To determine whether the FDG-PET signal was modulated by DVT age, we analyzed DVT
signals as a function of time after jugular vein ligation. We observed a significant decrease in the
18F-FDG DVT signal over time (SUV (median [quartiles]) = 1.98 [1.87-2.70] day 2, 1.20 [1.04-
1.30] day 4, 0.88 [0.82-0.96] day 7, 0.68 [0.57-1.22] day 14, p<0.001, Fig. 3A). The DVT
SUVmax and TBR values were highest at day 2 and decreased thereafter (SUVmax = 2.31 [2.20-
3.23] day 2, 1.35 [1.17-1.58] day 4, 1.07 [0.92-1.27] day 7, 0.93 [0.66-1.54] day 14, p=0.01;
TBR = 1.85 [1.79-2.09] day 2, 1.49 [1.45-1.79] day 4, 1.19 [1.10-1.32] day 7, 1.13 [1.08-1.23]
day 14, p=0.002, Fig. 3B-C). Gamma radiation counts of resected DVT demonstrated similar
findings, with a time-dependent decrease in radioactivity (%IDGT = 7.81 [6.47-19.2]% day 2,
7.72 [7.14-13.1]% day 4, 6.47 [5.25-9.36]% day 7, 3.04 [2.48-5.44]% day 14, vs. 0.735 [0.458-
1.75]% (pooled sham), p<0.0001, Fig. 3D).
Three mice underwent serial PET/CT imaging at day 2, 4, and 14 after the ligation.
Serial imaging revealed a time-dependent decrease in the FDG signal in individual DVT
(p=0.03, Fig. 3E-F).
Neutrophil appearance associates with FDG uptake in DVT
We compared 18F-FDG uptake measurements and histological profiles at the study timepoints of
2, 4, 7, and 14 days after induction of stasis DVT. Neutrophils infiltrated DVT abundantly at the
earlier timepoints of day 2 and 4, with fewer neutrophils observed at day 7, and minimal
neutrophils at day 14 (Fig. 4). Thrombus macrophages were evident at day 7 and resided in the
3.23] day 2, 1.35 [1.17-1.58] day 4, 1.07 [0.92-1.27] day 7, 0.93 [0.66-1.54] day y 141414,,, p=p=p=0.0.0 010101;;;
TBR = 1.85 [1.79-2.09] day 2, 1.49 [1.45-1.79] day 4, 1.19 [1.10-1.32] day 7, 1.13 [1.08-1.23]
daay y y 141414,, p=p==0.0.0.00002,2, FFiFig. 3B-C). Gamma radiation n cococ uunts of resectededd DVTVTVT ddemonstrated similar
fifiindddini gs, withh aa tttimmme-e-deded pepependndndenennt t dededeccrcreeaassee in raaadiooacacctiviviitytyty ((%I%I%IDGDGGTTT == 7.7.7 811 [[66.6.44747-1-119.9.9.2]2]2]%%% dadaday y 2,2,, n
7..727272 [[[7.7.7 1414-1-1-13.33.1]1]]%% % dadayyy 4,4,4, 66.444777 [5[5[5 2.2.25-5-5 9.9.36366]%]%]% dddayayay 777, 3.3 00404 [[[22.2.48488-5-5- ..444]4]4]% % % dadaay y y 141414, vsvsv .. 0.0.0.737355 [0[0[ .4.445888--
1.75]% (poololededed sshahaham)m)m), , p<p<p 0.0.0 00000 010101, , FiFiFig.g. 333DDD).)..
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outer DVT edge (Fig. 4). These histological findings in our developed jugular DVT stasis
ligation model recapitulate both the IVC full stasis DVT and the partial flow IVC DVT
models.14, 20 The number of neutrophils in DVT correlated with the FDG DVT uptake (SUV;
r=0.41, p=0.004, TBR; r=0.62, p<0.001, Fig. 5A). The macrophage FDG relationships were
analyzed in day 7 and day 14 DVT, as day 2 and day 4 DVT showed few macrophages and also
substantial confounding neutrophils. In the day 7 and 14 cohort, macrophages were not
significantly associated with the FDG DVT signal (SUV; r=-0.15, p=0.47, TBR; r=0.26, p=0.23,
Fig. 5B). To avoid confounding neutrophil-based FDG signal at day 7, we further assessed only
the day 14 macrophage association with FDG signals. This correlation remained nonsignificant
(SUV; r=0.04, p=0.91, TBR; r=0.30, p=0.37, Fig. 5C).
To further examine the relationship of FDG-PET and thrombus inflammation, we
assessed the protein expression of matrix metalloproteinase-9 (MMP-9), a key inflammatory
mediator of DVT.8 Immunoblot analyses showed a time-dependent decrease of MMP-9
expression in DVT (Supplemental Fig. S2A-B, p=0.01), similar to the in vivo FDG signals.
To evaluate the relative contributions of FDG signal from the thrombus and from the vein
wall, we performed ex vivo gamma radiation measurements after carefully separating the
thrombus and the vein wall components (day 2 DVT, n=5). We found that 66.7±5.9% of the
radioactivity localized in thrombus. We further analyzed the distribution of neutrophils using
immuno-histological images. We observed 86.4±1.4% of neutrophils (NIMP-R positive area)
were localized to thrombi, with the remaining 14% localized to the vein wall. These data indicate
that the majority of the FDG signal arises from thrombus itself.
Neutropenia markedly reduces FDG-PET signal generation in DVT
Histological analyses above demonstrated that thrombus neutrophils, but not macrophages,
SUV; r=0.04, p=0.91, TBR; r=0.30, p=0.37, Fig. 5C).
To further examine the relationship of FDG-PET and thrombus inflammation, we f
assseseessssssededed ttthehehe ppprooteteteiinin expression of matrix metalllopopo rrooteinase-9 (MMMPMM -9-99)),), aa key inflammatory
mmeddidiator of DVDVTT.T 888 IImmmmmm nununobobobloloot t anannaalalyysseess shhoowwwed a a timmmee--dedeepepeendndenennt t dedecccreeaeasesee ooof f MMMMMMP-P-P 99
exxprprpresesessisis onon iiin nn DVDVVTTT ((SSuuppppplel mmementntntalalal FFigigg. S2S2S2AA-A-BBB, , p=p=p=0.0 00101),)), sssimimimilililararr ttooo ththt eee ininn vvivivi o oo FDFDDGGG sisiignnnalals.ss.
To evvalalaluauau tetete ttthehee rrrelatatativivive cococontnttrirr bububutitiionononss ofofof FFFDGDGDG sigigignananall frfrromomom ttheheh ttthrhrhromomombubuusss ananandd d frfrf om the veiinn
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provided the basis for elevated FDG signals in DVT. To further determine whether neutrophils
could directly modulate the FDG signal in DVT, we induced systemic neutropenia in a subgroup
of mice prior to DVT induction. Pre-treatment with an anti-neutrophil antibody decreased
circulating neutrophils in day 2 DVT mice (0.6 [0.2-0.9] x103/ L vs. control day 2 DVT mice,
1.7 [1.2-2.1] x103/ L, p=0.03). On day 2, imaging demonstrated a significant decrease in FDG-
DVT signal in neutropenic mice, compared with normal mice (SUV = 1.15 [1.06-1.51] vs. 1.98
[1.87-2.70], p=0.03, Fig. 6). Histological assessment confirmed diminished neutrophil
accumulation in DVT (neutropenia 21.0 [14.0-59.0] vs. control 102 [86.0-126], # neutrophils per
5 high-power-fields, p<0.001). Neutropenic mice also showed decreased expression levels of
MMP-9 in DVT in parallel to FDG signal (Supplemental Fig. S2C).
Establishment of novel animal model of recurrent DVT
To our knowledge, this is the first report demonstrating an animal model of recurrent DVT. The
conventional stasis-induced DVT model is not suitable for inducing recurrent DVT due to the
absence of adequate blood flow and blood volume after complete ligation,14 precluding
generation of a second, same location, stasis-induced DVT. To create an environment suitable
for a second stasis DVT, at day 2 we de-ligated (cut the suture) the initial jugular vein ligation, to
spur partial thrombus recanalization and restoration of blood flow. In addition we ligated the
contralateral jugular vein to induce an occlusive stasis DVT. Twelve days later (at day 14), the
de-ligated vein was then re-ligated at same location (Fig. 7A). This procedure successfully
generated a second new venous thrombus at day 2 directly overlying the 16 days old primary
thrombus. Histological staining clearly distinguished the second thrombus at day 2 (increased
fibrin, increased neutrophils, and less collagen) from the organized primary thrombi at day 16
(Fig. 7B-D). The vein wall also exhibited DVT-induced scarring (increased thickness and
MMP-9 in DVT in parallel to FDG signal (Supplemental Fig. S2C).
Establishment of novel animal model of recurrent DVT
ToTo oouurur kknonowlwlwleddgege, tthis is the first report demonsstrtrt aaating an animaall l moodeded ll l of recurrent DVT. The
coonnvnventional sstatassisss-ininduduuceed d DVDVDVT T mmmodddelll is nnnoott suuiitaaableee ffofor rr ininduducccinnng reeccuuurrereentntt DDVVTVT dduuee tttoo ththhe
ababseseencncnceee ofofof aaaddedequququatatte e e bblbloooood dd fllowowow aandndnd bblololoododod vvvolollumumume e afafafteteer r cococompmpmplelel tetee llligigigatatatioion,n,n 14144 ppprerereclclcludududininng g g
generation oof f f aaa seses cococondndnd,, ssamememe llococcatata ioioon,n, ssstatatasisisis-s-s-ininindududucececed d d DVDVVT.T.T ToToTo cccreeeatatate e e ananan eeenvnvn iririronononmemementnn suitable
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collagen-rich), which is observed in patients with post-thrombotic syndrome (PTS).21 A number
of neutrophils were present in day 2 recurrent DVT, while macrophages were abundant in day 16
DVT, similar to day 14 DVT (Fig.7 E-F).
FDG-PET/CT enables the identification of recurrent, same site DVT
As our data revealed that FDG signal is neutrophil-dependent, we examined whether FDG-PET
could identify recently formed, neutrophil-rich recurrent DVT in the same site as the primary DVT.
As shown in Fig. 7G-I, recurrent DVT was successfully identified by FDG-PET/CT. FDG signal
from recurrent DVT (recurrent DVT at day 2 + primary DVT at day 16) was significantly higher
than old day 14 DVT (SUV; 1.65 [1.42-1.83] vs. 0.962 [0.892-1.07], SUVmax; 2.01 [1.63-2.17] vs.
1.06 [0.973-1.16], p=0.03 respectively, Fig. 7J-K). Ex vivo gamma radiation measurement also
showed a significant increase in the activity of recurrent DVT (day 2+16) compared to older DVT
at day 14 (%IDGT = 20.46 [16.4-26.3]% vs. 4.60 [2.46-7.75]%, p=0.02, Fig 7L).
18F-FDG activity in DVT decreases over time in patients
We retrospectively analyzed 38 individuals who underwent PET/CT scanning for clinical
indications: 19 patients with DVT (10/9 male/female, mean age, 64.1 years) and 19 matched
control patients (Supplemental Table). We observed a significantly increased signal within
recently formed DVT (Fig. 8A-B). Across the entire population, the FDG signal in DVT was
significantly greater than in the matched vein of controls (SUVmax 1.87 0.15 vs. 1.32 0.10,
P=0.02; TBR 1.62 0.19 vs. 1.10 0.05, P=0.01). Furthermore, we observed a time-dependent
decrease in the FDG signal within DVT. When the DVT age was stratified by tertiles, both the
SUVmax and TBR of DVT diminished over time (p=0.002 for SUVmax, p=0.004 for TBR, Fig.
8C-D). The relationship between DVT age (by tertiles) and DVT FDG uptake (either as SUVmax
or TBR) remained significant after multivariable adjustments for: demographic factors, (TBR:
1.06 [0.973-1.16], p=0.03 respectively, Fig. 7J-K). Ex vivo gamma radiation meaasasururremmmennent tt alalalsoso
howed a significant increase in the activity of recurrent DVT (day 2+16) compared to older DVT y
att dddayayay 111444 (%(%(%IDIIDGTGTGT == 20.46 [16.4-26.3]% vs. 4.60 0 0 [2[2..46-7.75]%, p==0.0 022, , FFiFig 7L).
888F---FDF G actiiviviittyt in n DVDVDVTTT dededeccrcreaeaasesees s ovovver tttimmme inn ppatttieieentntsss
WeWeWe rretetetroror spspspececectitiveveelyyy aanannalylyyzezed d 38388 iiindndndiivivididduauaualslsls whwhho o o ununundederwrwrwenenenttt PEPEPETTT/CTCTCT ssccacannnnninining g foforr r clclclinniiicaalal
ndications: 1199 9 papapatititienene tstst wwititth h h DVDVDVTTT ((10101 /9/9/9 mmmalalale/e/e/fefefemamamalelee, , mememeananan aaagegege,, 64644.1.1.1 yyyeaeaearsrsrs) )) ananand d d 191919 mmmatched
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=-0.209, p=0.007; SUVmax: =-0.233, p=0.003); factors that could impact systemic
inflammation (TBR: =-0.228, p=0.002; SUVmax: =-0.237, p=0.003); and oncologic history
(TBR: =-0.225, p=0.003; SUVmax: =-0.245, p=0.001).
Discussion
In this experimental and clinical study, we demonstrate that the intense inflammatory response
produced by DVT can be systematically imaged, serially assessed, and quantified with
noninvasive PET/CT. The FDG inflammatory signal exhibited a time-dependent and neutrophil-
dependent decay in murine DVT. We also established that FDG-PET/CT could differentiate
recurrent DVT from primary DVT utilizing a novel animal model of recurrent DVT.
Furthermore, in a clinical study, we observed a similar time-dependent decrease in the FDG-PET
signal in human DVT. The overall findings demonstrate that FDG-PET/CT provides an accurate
approach to assess neutrophil-dependent and age-dependent DVT inflammation, and can
specifically diagnose recurrent DVT.
Recurrent DVT occurs up to 10% per year in patients with unprovoked DVT 4 and is a
highly morbid condition, increasing the risk of the post-thrombotic syndrome, pulmonary
embolism, and death.2, 22, 23 Accurate diagnosis of recurrent DVT is therefore important in
initiating timely anticoagulant therapy, determining the duration of treatment, and recognizing
whether a failure of anticoagulation has occurred, with implications for considering IVC filter
placement to reduce the risk of pulmonary embolism.2 However, the diagnosis of a recurrent
ipsilateral same-site DVT, defined as a new DVT occurring in the same location as a previous
DVT, poses a significant diagnostic challenge. Although recurrent DVT is common as an
endpoint in observational and therapeutic clinical venous thromboembolism (VTE) trials,2 there
ecurrent DVT from primary DVT utilizing a novel animal model of recurrent DVDVVT.T.T
Furthermore, in a clinical study, we observed a similar time-dependent decrease in the FDG-PET
iigngnnalalal iiinn huhuhummman n DVDVDVT. The overall findings demomomonsnsstrate that FDGGG-PETETT/C/C/CT provides an accurate
appprproao ch to asssesessss nneueuutrrropopophihihil-l-l-ddedepepepenndndeenentt andndd aaage--ddeepeennddedennnt DDDVVTT iinfnfflalalammmmmaatatioioion,n, aaandndnd ccanann
ppecececififificicicalallylyly dddiaiaggngnoososee rreccucurrrenennt t DVDVDVT.T.T
Recuurrrrrenenent t DVDVDVTTT oco cucucursrsr uuuppp totoo 10%0%0% ppperere yeyeyearara iin n n papapatititienenentststs wwwititith h unununprprprovovovokokokededd DDDVTVTVT 444 and is a
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is no gold standard for its diagnosis, including ultrasound, MRI, CT, or venography.5, 6, 24 Venous
compression ultrasound, the gold standard for initial DVT diagnosis,25 is limited in cases of
recurrent DVT where residual thrombus or vein wall scarring is present after the initial DVT.
The current findings suggestive of prior DVT on duplex ultrasonography include retraction of
the vein, the presence of collateral veins, and recanalization. These signs are often subtle and are
frequently absent. Diagnosis of an acute DVT in the milieu of a prior DVT is particularly
difficult, especially if large changes in thrombus length or compressed vein diameter are not
apparent.5, 6 The situation is even more complicated if previous ultrasound images are
unavailable, and some patients may require invasive venography to attempt to establish a
diagnosis, which is also limited in its accuracy.5 In the past, studies have attempted to distinguish
acute from organized thrombi with ultrasonography,26 MRI,27, 28 and SPECT imaging.29, 30
However, no established imaging technique is routinely utilized in the clinic.5 The current
results herein demonstrate that FDG-PET/CT can distinguish newly formed, neutrophil-rich
thrombus from older thrombus and can specifically identify recurrent DVT.
Whereas a single case report suggested the potential for FDG-PET/CT to detect recurrent
DVT, the authors did not specify if DVT recurred in the same location as the original DVT, nor
systematically assess the age of the thrombus, nor obtain histological assessment.31 In addition,
while other clinical reports have demonstrated that FDG-PET can identify DVT (but not
specifically recurrent DVT),32, 33 our experimental results extend these prior studies, as we
precisely controlled the DVT age and timing of subsequent FDG-PET/CT imaging studies,
performed quantitative ex vivo radioactivity and detailed histology assessments to corroborate in
vivo FDG-PET signals, and induced neutropenia to modulate the FDG-PET signal.
As we established that the FDG DVT signal is time-dependent, FDG-PET offers a
diagnosis, which is also limited in its accuracy.5 In the past, studies have attemptptedeed tto ddidistststininingugug ish
acute from organized thrombi with ultrasonography,26 MRI,27, 28 and SPECT imaging.29, 30
HoHowewewevvever,r, nnnoo estataabblblisi hed imaging technique is rooouutu iinely utilized iin nn the e clclcliinic.5 The current
eesuuultl s herein ddeemmononststraaatetete ttthahahatt t FDFDDGG-G-PPEPETT/CCTT cann ddistiiningguguiisshhh nenewlwly y fofoformrmmededd, nneneututtroror phphphilii -rrricicich hh
hhroroombmbmbusus fffrororomm oololddederr tththrrorombmbuusu aaandndnd ccanann ssspepepecccififificacac lllly y ididdenenentititifyfyfy rrrecececuuurrererentntn DDDVVTVT.
Wherreaeaeasss a a a sisisingngnglelee ccasasa e e e reeepopoportrtt suguguggegegestststededed tthehehe pppototo enenntititialala fffororor FFFDGDGDG-P-PPETETET/C/C/CTTT totoo dddetetetecee t recurrenntt
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noninvasive approach to assess DVT age in vivo. This finding has implications for fibrinolytic
therapy of DVT using catheter-directed therapy or pharmacomechanical therapy, two emerging
clinical strategies used to treat large iliofemoral DVT.34, 35 This is because intravascular-based
fibrinolysis of DVT appears more effective for earlier stage thrombi < 10 days old.36 As the
precise age of DVT is not often possible to assess clinically due to the insidious onset of flow-
limiting DVT, FDG-PET assessment of DVT age might help predict the success of catheter-
directed therapy or pharmacomechanical therapy.
In this study, the observation that the inflammatory FDG signal was more closely
associated with neutrophils than macrophages in DVT is not unexpected. FDG uptake occurs in
cells exhibiting increased glycolysis, which is higher in myeloid cells, particularly activated
macrophages12, 37 and neutrophils.38 We determined that the FDG-PET signal was neutrophil-
dependent, and accordingly higher in early, neutrophil-rich DVT. Subsequently, in resolving
subacute DVT, we hypothesized that infiltrating macrophages might be of an M2-polarized
(reparative) phenotype, as M2-macrophages do not exhibit up-regulated glucose transporter
protein type 1 (GLUT-1) expression needed to concentrate FDG.12, 39 Histological analyses
supported this hypothesis, as macrophages within day 14 DVT in fact displayed little GLUT-1
expression and little iNOS expression, an M1 marker (Supplemental Fig. S3). This is in
distinction to chronic inflammatory conditions such as in atherosclerosis, where macrophages
account for the FDG signal,13, 37, 40-43 and demonstrate an M1-polarized (pro-inflammatory) and
GLUT1-upregulated phenotype.12 Moreover, the neutrophil-based FDG findings in DVT are
similar to studies of other acute, neutrophil-rich lesions such as acute lung injury, where
neutrophils but not macrophages serve as the main cellular source of FDG uptake.9-11 As there
was a mild FDG signal in day 14 DVT without neutrophils, other non-macrophage cells that may
cells exhibiting increased glycolysis, which is higher in myeloid cells, particularrlylyly aaactctivivvatatatededed
macrophages12, 37 and neutrophils.38 We determined that the FDG-PET signal was neutrophil-
deepepependndndenentt,t, aannnd aaaccccccoordingly higher in early, neutttrrropopphil-rich DVTT. Sububbseseseqquently, in resolving
uubabaacute DVTT, wewewe hhyyppototothehehesisiizezzed d thththaatat iinfnffiltraaatiinng mmmaaacrooopphphagagageess mmmiggghtht bbbee ofof aaan n M2M22-p-p- olololaarrizzz deded
rrepeppararratata ivive)e)e) ppphehennonotytyt ppepe, asas MMM2-2-2-mamamacrcrcropopphahahagegegesss dododo nnootot exexxhihiibibibit tt upupp-r-r- eegegulululatata eeed glglg ucucucososose e trtrtraananspsppororrteter r
protein type 11 (((GLGLGLUTUTUT-1-11) ) exexexprprpressssisisiononn neeeeeedededed d d tototo cconononceceentntrararatetee FFFDGDGDG...1212,12, 393939 HHHisisistototololol gigigicacacal l l anananala yses
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have accumulated FDG include activated myofibroblasts, which are present in the remodeling
vein wall after DVT7, 44 and ingest FDG in experimental arthritis models.45 Another
consideration regarding lower FDG signal in the later-stage DVT could be due to greater
thrombus organization, limiting access of FDG to interior thrombus cells.
Limitations of this study are present. As stasis-induced DVT was generated by surgical
ligation of the jugular vein, surgery-induced inflammation is inevitable especially at day 2,
resulting in FDG uptake at wound healing region around the DVT and likely in the venous wall.
While experiments demonstrate that the majority of FDG signal arises from the thrombus, the
vein wall also contributes modestly to the FDG signal. As the ligation suture is necessary to
induce stasis thrombi, we cannot precisely resolve intrinsic vein wall inflammation that occurs
during DVT resolution from ligation-induced injury. Second, our clinical cohort did not contain
any patients with a recurrent DVT who underwent FDG-PET imaging. Third, the clinical cohort
was derived from individuals undergoing imaging for oncologic indications, and was a
retrospective study. Accordingly, generalization of the findings may be constrained, and
prospective clinical FDG-PET studies of recurrent DVT and serial DVT imaging will be needed
to validate our findings. Finally, while it is known that 18F-FDG uptake is upregulated in lesions
containing pro-inflammatory myeloid cells such as neutrophils9-11 and macrophages,12, 13
histological analysis of clinical DVTs was not possible to perform in this study. Future FDG-
PET DVT clinical studies that include a DVT biopsy will be able to elucidate specific
inflammatory cells underlying FDG uptake in human DVTs.
Clinical Implications
Our clinical retrospective study also demonstrated a time-dependent decrease in the FDG signal
within DVT, extending the main experimental findings from the animal study. DVT showed
nduce stasis thrombi, we cannot precisely resolve intrinsic vein wall inflammatitionoon tthahaat t t ocococcucucursrs
during DVT resolution from ligation-induced injury. Second, our clinical cohort did not contain
anny y y papapatititienenntststs wwwitthh h aaa rrecurrent DVT who underwenenent FFDG-PET imagagaging.g. TTThird, the clinical cohort
wwass s ded rived frfromomm iiindnddivivi ididduauaalslss uuundnddererergogog iningg immmaagginggg fffor onononcocololoogigicc innndidicacaatiiononss,s, aaandnd wwwaasas aaa
eetrtrtrososospepepectctivivve ee ststuuddyy.y. AAcAccococ rdrdinininglglglyyy, gggenenerere alalalizizizatatioioion n ofoff thhehe fffininindddingngngs s mamamay y y bbbe ccononnstststrarar ininnededd, aanandd d
prospective clcllinininicicalalal FFDGDGDG-PPPETETET ssstututudidiiesee ooof f rererecucucurrrrrrenennt t DVDVD TTT ananand d d seseseriririala DDDVTVTVT iiimamam gigigingngng wwwililll l be neededd
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significantly greater FDG signal compared to the matched vein of control patients. By analyzing
greater numbers of DVT patients and with clot ages up to 21 weeks old, our findings extend a
smaller study that was restricted to < 10 week old thrombi.32
The findings of this study support the concept that FDG-PET imaging might be useful for
determining the inflammatory activity of DVT in living subjects. It is possible that PET/CT
could be employed when there is uncertainty regarding whether recurrent DVT exists, or to what
degree there is a substantial inflammatory component to an initial DVT, which might also inform
the risk of the post-thrombotic syndrome.46, 47 Ultimately, prospective clinical studies will need
to be conducted to evaluate if FDG-PET imaging of recurrent DVT provides additive diagnostic
value, and enables better outcomes.
Conclusions
Noninvasive FDG-PET/CT enables assessment of thrombus age and inflammation in
experimental and clinical DVT, and enables the specific detection of recurrent murine DVT.
Thrombus neutrophils are a major cellular basis of FDG signal in early murine DVT. Elevated
FDG-PET signal indicates a recently formed, neutrophil-rich thrombus and thereby offers an
imaging strategy to accurately diagnose recurrent same-site DVT.
Funding Sources: This study was supported by NIH HL108229 (FJ), Wagner-Torizuka Society
of Nuclear Medicine Fellowship (TH), American Heart Association Founders postdoctoral
fellowship #13POST14640021 (TH), and Grant-in-Aid #13GRNT17060040 (FJ).
Conflict of Interest Disclosures: None.
value, and enables better outcomes.
CoConncnclululu isisionononss
NNonnininvasive FDFDDGG--PEPEET/T//CTCTCT eeennanablbleseses aassseeessmmmennnt offf tthhrooommbmbuus aagege aandnd iiinnfn llaammmmmmatatioioon nn ininin
exxpepeperiririmemem ntnttalalal aandndd ccclilinniicaaal l DVDVVT,T,T, aaandndnd eennanablblbleseses thhhe ee spspspeececiffficicc dddeteetececctitit oonon ooof f f rereecucuurrrreenenttt mumuuriririnee DDVTVT..
Thrombus neueuutrtrtropopophihihilslss aaarer aaa mmmajajjororor cccelee luuulalalarr r bababasisis sss ofofof FFFDGDGG ssigigignananall l ininin eeearararlylyly mmmurururinineee DVDVDVT.T.T. Elevated
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277. . WeWeWe tststerererbebebeeek RRREE,E, Van Rooden CJ, Tan M, Vananan GGGils AP, Kok S,S,S De e BBaBats MJ, De Roos A, HuHuHuisissman MVMVV. MaMaagngneteticicic rrresese ononananancecece ddirirecect t ththrorombmbuusus immagagaginining g g off ttthehehe eevovolululutit onon ooofff acaca ututee dededeepepp vvveiein hhhrooombm osis of f ththhee lleg.g. J J ThThThrororombmbm HHHaaeaemmomosst. 22200008;666:1110887-7-7-1010929292.
2888. SaSaSahahah PP,, AnAnA didiia MEMEE, MMoModadaararaiii B,B,B, BBBluluumememe UUU, HuHuH mmmpphphrrrieseses JJJ,, , PaPaPatetel l ASASAS, , PhPhPhininikikkararrididououou AA,, Evvvananss CCECEmmMaattttocockk K,K, Grorover r SPSP, AhAhmamadd AA, LLyonsns OOT,T, AAttttia RRQ,Q RRenennene TT, PrPrememarrata nene SS, WiWietethooffff AAJ, Botnar RM,, SSSchchchaeaeeffffffteteer rr T,TT WWWalaa thhhamamam MMM,, , SmSmSmititith h h A.A.A MMMagagagneneetitit ccc rereresososonanan ncncnceee T1T1T1 rrrelelelaxaxxatatatioioion n n titit mem of vevenonousus tthrhromombubuss isis ddeteterermiminenedd byby iiroronn prprococesessisingng aandnd ppreredidictctss sususcscepeptitibibililityty ttoo lylysisiss
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37. Tawakol A, Miggrino RQ, Hoffmann U, Abbara S, Houser S, Gewirtz H, Muller JE, Brady ffTJJ,, FiFiFiscscschmhmhmananan AAJ.J.J NNNoninvasive in vivo measuremmemennnt of vascular iinfnn laammmmmmation with F-18flfluouuorrroded oxygyggluucocooseses pppososositittrororon n ememmisisissisionon ttomomogoggraraphphhyy. J NuNuuclclcl CCarrdididioolol.. 2020050505;12:2:2929294-4-4 30301.1.
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39. Rodrigueez-z-z PrPrP adadadososo JJC,CC TTTrararaveees s s PGPGG, CuCuCuenenencacaca JJJ, , RiRiRicococo DDD,,, ArArAragagagonononese JJJ, , MaMaMartrtrtininin-S-SSanananz zz P,P,P, CCascante MM BBososcaca LL SuSubsbstrtratatee fafatete iinn acactitivavatetedd mamacrcropophahageges:s: aa ccomompaparirisosonn bebetwtweeeenn ininnanatete clclasassisicc aandnd
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Figure 1. Induction of stasis-induced DVT model in the murine jugular vein. (A) Surgical
ligation of the right jugular vein was performed to induce deep vein thrombosis (DVT). As a
sham control, the left jugular vein was surgically exposed and loosely tied without constriction.
(B) Contrast-enhanced computed tomography (CT) venography shows a filling defect only in the
right jugular vein with DVT (dark signal, yellow arrow). Surgery-induced air artifact was
observed in front of ligated jugular vein (asterisk). (C) Resected red-white thrombus in the
ligated jugular vein. (D) Hematoxylin-eosin stain. (E) Carstairs’ stain (red = fibrin, yellow =
erythrocytes, blue = collagen). Representative DVT images at day 0 (A) and day 4 (B-E). Scale
bars, 500 μm.
47. Bouman AC, Smits JJ, Ten Cate H, Ten Cate-Hoek AJ. Markers of coagulationonn,,, fifif brbrininololysysy is and inflammation in relation to post-thrombotic syndrome. J Thromb Haemost. 2202012121 ;110:0:0:151515323232--1538.
FiFiiguuure Leggenenendsds:::
FiFigugugurerere 11.. InInIndudductcttioion n ooff sstatasis s-s--inindududucececed d DVDVDVTTT mmmodododeell iinn tththe ee mmumuririinenen jjjugugugululu aaar vvveieinnn. (A(A(A))) SSSurgrgrgicccalal
igation of thhe e e ririighghght t t jujujugugugulaar r r veveveinnn wwwasasas pperererfofoformrmrmededed ttto o o ininnduducecece dddeeeepepep vvveie n n n thththrororombmbmbososisisis (((DVDVDVT)TT . As a
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Figure 2. FDG-PET enhances acute DVT in mice. Representative images of (A) FDG-PET (B)
contrast-enhanced CT venography, and (C) fused PET/CT at various timepoints. DVT (yellow
arrow) induced filling defects in contrast CT venography not seen in the contralateral sham-
operated vein (white arrow). Surgery-induced air artifact (dark signal) is observed anterior to
each vein on CT (white asterisk). FDG-PET DVT signal was elevated in acute DVT, and
diminished over time. Mild surgery-induced inflammation at wound healing region was observed
in the sham surgery left jugular vein region at day 2.
Figure 3. Time-course quantitative changes of FDG signal in DVT. (A) Standard uptake value
(SUV), (B) SUVmax , (C) target-to-background ratio (TBR), and (D) %injected dose per gram of
tissue (%IDGT) showed a similar trend (p<0.05) in that values were highest at day 2 and
significantly decreased over time (4-5 mice per group). (E and F) Subset of mice underwent
serial PET imaging at day 2, 7, and 14. FDG accumulation in DVT (yellow arrow, sham control
white arrow) demonstrated a time-dependent significant decrease (p=0.03). *p<0.05, **p<0.01,
***p<0.001. (Box-and-Whisker plot) Middle line represents median value, box indicates
interquartile range (25th–75th percentiles), and range bars show maximum and minimum.
Figure 4. Recruitment of inflammatory cells into DVT. (A) Representative immunostaining of
neutrophil and macrophage from various DVT timepoints. Neutrophils are abundant and
predominate in early day 2-4 DVT. Thrombus macrophages were evident from day 7 and resided
at the outer DVT edge. (B) The number of neutrophils (black) and macrophages (white) per 5
HPF (high power field) were shown. (*p<0.0001). Scale bar, 500 m. n.s.=not significant.
SUV), (B) SUVmax , (C) target-to-background ratio (TBR), and (D) %injected dodooseee pperere gggrararam m m oof
issue (%IDGT) showed a similar trend (p<0.05) in that values were highest at day 2 and
iigngnnififificicicananntltltly yy ddecrcrreeaeassed over time (4-5 mice per gggrorouup). (E and F)) SSubbsesesett t ofo mice underwent
eeriiaal PET imamagigiginggg aat t dadaay y 2,2,2, 777, ananndd d 1414. FFDGGG accumumumullatattioionnn ininn DDDVTVT ((yyeelllowoww aaarrrrowoww, shshshamamam ccoononttrtrol
whwhhititi e ee arara rorow)w)w) ddememmoononststtraratetet d d a a titimememe-d-d-depepenenendededennnt sssigigi nnniffificacaantntt dddeececrereeasasa ee (p(p(p=0=0=0.0003)3). *p*p*p<0<0.0.0.055,5, ***ppp<0<0.0.01,1,1 t
***p<0.001.. (((BBBoxoxx-a-andnd-WhWhWhisisiskekek rrr pp MMididdldlee lilinene pplolot)t)rr rerereprprp esessenenentststs mememedidd ananan tesvvalalueue, , boboxx inindidicacates
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Figure 5. FDG signal associations with thrombus neutrophils and macrophages. (A) The
number of thrombus neutrophils correlated with the FDG uptake in DVT (SUV; r=0.41, p=0.004,
TBR; r=0.62, p<0.001). (B) Thrombus macrophages pooled from day 7 and day 14 did not
significantly correlate with the FDG-DVT signal (SUV; r=-0.15, p=0.47, TBR; r=0.26, p=0.23).
(C) Sub-analysis of macrophages at day 14 also did not significantly correlate with FDG-DVT
signals (SUV; r=0.04, p=0.91, TBR; r=0.30, p=0.37). MAC= macrophage.
Figure 6. Experimental neutropenia reduces FDG signal within DVT. (A) Representative
images of contrast-enhanced CT and fused PET/CT from neutropenic mice (left) and uninjected
control (right) are shown. DVT (yellow arrow) and sham-operated jugular vein (white arrow) are
indicated by arrows. (B) SUV, SUVmax, and TBR of FDG signal of DVT in neutropenic mice are
significantly lower than control mice (*p<0.05). N=4 per group. Median SUV and SUVmax value
of sham-operated contralateral jugular veins are shown as respective dotted lines.
Figure 7. Establishment of a novel recurrent DVT model, and specific detection of recurrent
DVT by FDG-PET/CT. (A) Two days after the initial ligation, the suture was de-ligated and
removed. At day 14, re-ligation was performed at previously ligated site to induce a recurrent
DVT. Histological images of resected recurrent DVT (day 2 recurrent DVT (outlined with black
dotted line) overlying the day 16 DVT (outlined with blue dotted line)) are shown. (B)
Hematoxylin-eosin, (C) Carstairs’ staining, and (D) Masson Trichrome staining shows red blood
cell-rich zones in recurrent DVT (red in H&E and yellow in Carstairs’) and collagen-rich zones
in older DVT (pink in H&E and blue in Carstairs’ and Masson). (E and F) Immunostaining of
neutrophils (E) and macrophages (F) shows the newly formed recurrent DVT is neutrophil-rich,
control (right) are shown. DVT (yellow arrow) and sham-operated jugular vein ((whwhwhititee arararrororow)ww) aare
ndicated by arrows. (B) SUV, SUVmax, and TBR of FDG signal of DVT in neutropenic mice are
iigngnnififificicicananntltltlyyy llowewewerrr tht an control mice (*p<0.05). NN==4 per group. MMMeddiaiaiann n SUV and SUVmax value
off ssshham-operatatededed cccononttralalalatataterereralalal jjuguggululularar vveeinsss aaare sshhooownnn aasas rrressspepeccctiivve e dodod ttttededd lllininineses.
Figure 7. Eststababablilishshshmemementntnt oof f f a a a nonoovevevell rerer cucuurrrrrenenent t DVDVDVT T T momom dededel,l,l, aaandndnd ssspepp cicicififific c c dededeteteectctioioion n n ofofof rrrece urrent
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while the older primary DVT shows macrophage predominance. Representative (G) PET, (H)
CT, and (I) PET/CT images are shown. FDG enhanced recurrent DVT substantially more than
older DVT (G and I). (J-L) FDG signal was significantly higher in recurrent DVT (day 2
overlying the day 16 DVT) than in older day 14 DVT in the contralateral vein. N=6 per group.
Scale bar, 500 μm.
Figure 8. 18F-FDG DVT signal is elevated in patients and diminishes over time. Representative
PET/CT images from (A) a patient with DVT and (B) a matched control patient without DVT.
Elevated FDG signal was observed in the thrombosed femoral vein (A, yellow arrow). (C) The
SUVmax and (D) TBR of the DVT exhibited a time-dependent decrease (p=0.002 for SUVmax,
p=0.004 for TBR, n=6-7 per DVT group). FDG uptake in the DVT vein was shown for
individuals grouped according to age of the DVT, divided into tertiles. Values from the matched
vein from control patients are shown in the No DVT group (n=19 patients).
SUVmax and (D) TBR of the DVT exhibited a time-dependent decrease (p=0.0022 ffororr SSSUVUVUVmaxmaxax, ,
p=0.004 for TBR, n=6-7 per DVT group). FDG uptake in the DVT vein was shown for
nndidiivivividududualalalsss grgrrouupepeped d according to age of the DVTVTT,, dddivided into tererrttiless. VVaValues from the matched
vveinnn from contntrorool ppapatiitienenntststs aaarerere sshohownwnwn iinn tthe NNNooo DVVVTT grgrroououpp p (nnn=1=199 papatitiieenentsts).).
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Peter K. Henke, Ralph Weissleder and Farouc A. JafferMegan H. MacNabb, Anna-Liisa Brownell, Kimmo Jokivarsi, Chase W. Kessinger, Michael R. Jaff,
Tetsuya Hara, Jessica Truelove, Ahmed Tawakol, Gregory R. Wojtkiewicz, William J. Hucker,Illuminating Recently Formed, Neutrophil-Rich Thrombus
FDG-PET/CT Enables the Detection of Recurrent Same-Site Deep Vein Thrombosis by
Print ISSN: 0009-7322. Online ISSN: 1524-4539 Copyright © 2014 American Heart Association, Inc. All rights reserved.
is published by the American Heart Association, 7272 Greenville Avenue, Dallas, TX 75231Circulation published online July 28, 2014;Circulation.
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SUPPLEMENTAL MATERIAL
Supplemental Methods
Ex vivo gamma counting and histopathology
After sacrifice, mice were perfused with 0.9% saline via the left ventricle. Radioactivity
of excised jugular veins was measured by a gamma radiation counter (Wizard,
PerkinElmer). In a subset of resected DVT (day 2 timepoint, n=5), the vein wall and
thrombus were gently separated followed by gamma radioactivity measurements. Next,
jugular veins were fixed overnight with paraformaldehyde (PFA) and embedded in
optimal cutting temperature compound (Sakura Finetek, Torrance, CA). Serial 6-µm
cryostat sections were obtained for H&E, Carstairs’ fibrin staining, Masson trichrome,
and immunohistochemistry. Immunohistochemical detection of thrombus neutrophils
(NIMP-R14, Santa Cruz Biotechnology, TX), macrophages (CD68, AbD Serotec,
Oxford, UK), iNOS (Abcam, MA), and glucose transporter protein type 1 (GLUT-1,
Santa Cruz) was performed. The number of thrombus neutrophils and macrophages per
5 high power fields (HPF; 1000x) was quantified as previously reported.17 As a positive
controls for GLUT-1 and iNOS expression, we stained macrophage-rich atheroma
sections from the aortic sinus of cholesterol-fed ApoE knockout mice.
Protein extraction and immunoblotting
Resected tissues were homogenized in 100-200 µl of RIPA buffer (Sigma-Aldrich)
supplemented with protease inhibitor. Extracted proteins were separated by SDS PAGE
2
and transferred to PVDF membranes. Anti- matrix metalloproteinase-9 (MMP-9)
antibody (Abcam) and anti-beta actin antibody (Sigma) were used.
Clinical FDG-PET study. The Partners Institutional Review Board approved access to
patient records and analysis of patient data (Protocol #: 2011-P-000521). Participants
for the clinical imaging sub-study were consecutively identified from a database of
patients who had undergone 18-fluorine-fluorodeoxyglucose-positron emission
tomography (18F-FDG-PET) and computed tomography (CT) imaging for oncological
evaluation at the Massachusetts General Hospital. We used the clinical research
database to generate an initial cohort of patients (n=437) with the following inclusion
criteria: age >18, diagnosis of DVT by billing code, and receiving an 18F-FDG-PET and
CT scan between 2004 through 2011 at Massachusetts General Hospital. Exclusion
criteria included: deep vein thrombosis (DVT) outside the area of PET imaging, a DVT
outside of the iliac-femoral veins, or a confounding reason for inflammation around the
site of DVT (i.e. recent catheterization, vasculitis, nearby infection or tumor). This cohort
was then restricted to patients with DVT occurring within 6 months after PET, leaving a
total of 20 subjects. In one of these patients however an appropriate matched control
could not be identified; therefore 19 patients, and 19 matched controls were included in
the final analysis. Age of the DVT was determined as accurately as possible by clinical
(n=17) and imaging evidence (n=2). Control subjects (n=19) without DVT who had
undergone FDG imaging for clinical purposes were consecutively identified and
matched 1:1 by gender, age (±10 years), active cancer and chemotherapy treatment
within six months of imaging, and steroid immunosuppressive therapy at the time of
3
PET imaging, if present (Supplemental Table). Additionally, individuals with DVT were
grouped according to the clinical age of their DVTs at time of imaging (divided into
tertiles). Thereafter, the group-mean FDG signal was compared to the age of the DVT
using linear regression analysis.
PET/CT protocol. Whole body FDG-PET imaging was performed per clinical protocol
using a Biograph 64 Scanner (Siemens, Forcheim Germany) or similar system. FDG
was administered ~370 MBq (~10 mCi) intravenously after an overnight fast. PET
images were acquired in 3D mode ~60 minutes later. Patients were imaged in the
supine position and images were obtained over 15-20 minutes. A low-dose, non-gated,
non-contrast enhanced CT (120 keV, 50 mAs) was employed for attenuation correction
prior to the PET scan. FDG-PET/CT image analysis. PET-CT images were analyzed
by an investigator blinded to the patients’ clinical information. 18F-FDG uptake was
measured within the right and left legs of both control and DVT subjects to assess
uptake from the common femoral vein through the external iliac vein. An individual
region-of-interest (ROI) was placed around the area just superior to the popliteal vein
and extended to the inferior of the iliac bifurcation in order to obtain a maximum
standardized uptake value (SUVmax). The average venous blood uptake of the right
atrium was used to derive a target-to-background ratio (TBR) from the SUVmax.1
Patients were then analyzed to assess the time-dependent changes in FDG uptake in
DVT and corresponding vein of matched control patients without a DVT.
Statistics
4
For animal data, results are expressed as median [25%-75% quartiles]. Statistical
comparisons between two groups were evaluated by the Mann-Whitney U test, and by
the Kruskal-Wallis test for multiple groups followed by the Dunn’s post-test. For
comparison between two groups within the same animal, the Wilcoxon matched-pairs
signed-rank test was used. Continuous variables at multiple timepoints were compared
by the Friedman test. FDG uptake measurements were correlated with histological
findings by use of the two-tailed Spearman method. Statistical comparisons were
performed with GraphPad Prism (La Jolla, CA). Mice that did not develop jugular DVT
(histologically negative, n=3) were excluded from analyses. For clinical data, values are
expressed as mean±SEM. Wilcoxon signed ranks test was used for single comparisons,
and after confirming normality of distribution, linear regression analysis was used to
determine the association between FDG uptake and DVT age (SPSS 22, IBM, Chicago,
IL). In the multivariable models, FDG uptake within the DVT was entered as the
dependent variable, while DVT age was entered as an independent variable.
Subsequently, clinical factors were added to the model as additional independent
variables to assess their potential impact on the relationship between DVT age and
FDG uptake. In order to limit the number of variables entered into the regression model
at one time (given the modest sample size), the clinical variables were added to the
multivariable model in three separate groupings: (1) demographic factors (patient age
and gender); (2) factors that might impact systemic inflammation (immunosuppressive
steroid use, history of recent infection, or statin use); and (3) oncologic history (history
of cancer, cancer subtype, and history of chemotherapy). A value of P<0.05 was
considered statistically significant.
5
SUPPLEMENTAL TABLE
All Control
Subjects
All Subjects
with DVT
DVT (<17
days)
DVT (18-58
days)
DVT
(>59days)
Number of Patients 19 19 7 6 6
Age (years) 62±15.1 63.2±15.8 71.0±12.6 53.7±19.7 65.2±14.8
Male 10 10 3 5 2
BMI (kg/m2) 26.6±4.7 26.5±5.6 28.6±3.1 23.9±2.5 28.7±7.9
Malignancy 18 18 6 6 6
gastrointestinal 5 5 1 2 2
lung 5 4 2 1 1
hematologic 3 4 1 2 1
others 5 5 2 1 2
Chemotherapy 18 18 6 6 6
Statin 4 4 1 2 1
Steroid 1 1 1 0 0
Infection 3 5 2 2 1
Supplemental Table. Clinical characteristics of patients in the FDG-PET/CT study.
Values are presented as mean±SD. BMI=body mass index; DVT= deep venous
thrombosis.
6
SUPPLEMENTAL FIGURES and FIGURE LEGENDS
Supplemental figure S1
Supplemental figure S1. Schematic experimental design. (A) Mice underwent FDG-
PET imaging at various timepoints, followed by ex vivo analyses and histology. (B)
Serial FDG-PET imaging at day 2, 7, and 14 was performed in a subset of three mice.
Mice were sacrificed after the final PET imaging at day 14. (C) To assess the role of
neutrophils in FDG signal, antibody-based neutrophil depletion was performed in subset
of four mice before DVT formation and imaging. (D) For the recurrent DVT model (n=6
mice), we removed the suture of the ligation at day 2 to spur recanalization of the
thrombosed right jugular vein, followed by re-ligation 12 days later to induce recurrent
same-site stasis-induced DVT. We also performed complete ligation of the left
contralateral jugular vein at day 2 to enhance recanalization of the initial right jugular
DVT, and to compare a fresh recurrent DVT and an older DVT in the same mouse.
7
Supplemental figure S2.
Supplemental figure S2. The time-dependent decrease in matrix metalloproteinase-9
(MMP-9) expression in DVT parallels the time-dependent decrease in the in vivo DVT
FDG signal. (A and B) Immunoblotting of MMP-9 demonstrates time-dependent
decrease. (C) DVTs from neutropenic mice shows decreased MMP-9 expression.
8
Supplemental figure S3.
Supplemental figure S3. Little glucose transporter protein type 1 (GLUT-1) and iNOS
expression is present in macrophages within day 14 DVT (top row, asterisk).
Representative images of immunostaining (CD68-macrophage, iNOS-M1 macrophage
marker, and GLUT-1) of day 14 DVT (top row), as well as of an aortic plaque on an
ApoE knock-out mice showing higher expression of GLUT-1 and iNOS (bottom row,
arrowhead). Asterisk=DVT. Scale bar, 100 µm.
SUPPLEMENTAL REFERENCE
1. Subramanian S, Tawakol A, Burdo TH, et al. Arterial Inflammation in Patients with HIV. JAMA. 2012;308:379-86.