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CT-colonography in population-based colorectal cancer screening
de Haan, M.C.
Link to publication
Citation for published version (APA):de Haan, M. C. (2012). CT-colonography in population-based colorectal cancer screening.
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Download date: 02 Jan 2021
2Chapter
Diagnosti c value ofCT-colonography as
compared to colonoscopy in an asymptomati c screening populati on: a meta-analysis
Margriet C. de Haan Rogier E. van Gelder
Anno Graser Shandra Bipat
Jaap Stoker
European Radiology 2011;21:1747-1763
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Abstract
ObjectivesPrevious meta-analyses on CT-colonography included both average and high risk individuals, which may overestimate the diagnostic value in screening. A meta-analysis was performed to obtain the value of CT-colonography for screening.
Materials and methods A search was performed using PubMed, Embase and Cochrane. Article selection and critical appraisal was done by two reviewers. Inclusion criteria: prospective, randomised trials or cohort studies comparing CT-colonography with colonoscopy (≥50 participants), ≥95% average risk participants ≥50 years. Study characteristics and 2×2 contingency tables were recorded. Sensitivity and specificity estimates were calculated per patient and per polyp (≥6 mm, ≥10 mm), using univariate and bivariate analyses.
Results Five of 1,021 studies identified were included, including 4,086 participants (<1% high risk). I2-values showed substantial heterogeneity, especially for 6–9 mm polyps and adenomas: 68.1% vs. 78.6% (sensitivity per patient). Estimated sensitivities for patients with polyps or adenomas ≥6 mm were 75.9% and 82.9%, corresponding specificities 94.6% and 91.4%. Estimated sensitivities for patients with polyps or adenomas ≥10 mm were 83.3% and 87.9%, corresponding specificities 98.7% and 97.6%. Estimated sensitivities per polyp for advanced adenomas ≥6 mm and ≥10 mm were 83.9% and 83.8%.
Conclusion Compared to colonoscopy, CT-colonography has a high sensitivity for adenomas ≥10 mm. For (advanced) adenomas ≥6 mm sensitivity is somewhat lower.
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IntroductionComputed tomography (CT)-colonography has been studied for screening for (precursors of) colorectal cancer (CRC) and the Multisociety Task Force on Colorectal Cancer has indicated CT-colonography as an acceptable technique for CRC screening1,2. However, recently the National Institute of Health has published a statement regarding CRC screening concluding that there is still lack of information regarding the use of CT-colonography as screening technique in an average risk population3. Also other guidelines state that there is insufficient evidence yet4,5.
Several meta-analyses have been published on the diagnostic value of CT-colonography including both average risk and high risk individuals, but no meta-analysis has been published including average risk individuals only6-10. Individuals are considered to be at average risk if they have no symptoms, no personal history of CRC, adenomatous polyps or inflammatory bowel disease and no family history of advanced neoplasia11. By including studies containing high risk populations, the diagnostic value of CT-colonography in an average risk population might be overestimated. It is known that the estimated diagnostic value of a technique depends on factors such as disease prevalence and spectrum.
Therefore, the aim of this meta-analysis was to estimate the diagnostic value of CT-colonography to detect (advanced) adenomas and CRC in an average risk population aged 50 to 75 years.
Materials and methods
Literature searchArticles were obtained from the electronic databases PubMed, Embase and Cochrane, without restrictions with respect to the publication date and language. Lists of synonyms for CT-colonography were produced (Figure 1) and combined using the Boolean operator “OR”. The same was done for colonoscopy. Both search results were combined, using the Boolean operator “AND”. By reading title and abstract of all retrieved articles, two observers identified possible relevant papers, based on the inclusion and exclusion criteria described below. The remaining articles were retrieved as full-text articles and independently checked by two reviewers. Disagreement regarding inclusion was resolved by consensus. Reference lists of the final selection of articles were checked manually to identify other relevant papers. If additional information of an article considered for inclusion was needed
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due to incomplete data or description of the methods, the corresponding authors were contacted.
Inclusion and exclusion criteriaInclusion criteria were prospective, randomised trials or cohort studies, in humans ≥50 years, in which at least 50 predominantly asymptomatic average risk subjects (≥95%) underwent CT-colonography and completed colonoscopy for verification within 3 months. In addition, eligible studies needed to report the detection of colorectal polyps (adenomatous and non-adenomatous), advanced neoplasia and CRC and should include true positive (TP), false positive (FP), true negative (TN) and false negative (FN) values. Studies that included predominantly high risk subjects (symptomatic, history of hereditary CRC, personal history of polyps, CRC or IBD) were excluded, as well as studies that performed CT-colonography as a consequence of incomplete colonoscopy or studies that only performed colonoscopy after positive findings on CT-colonography.
Quality assessmentSystematic assessment of quality and documentation of relevant data of the selected articles was performed independently by two reviewers, using a standardized form. To grade the study quality, the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool was used with special focus on the characteristics of the included study population, index test and reference test12. We assessed whether the inclusion and exclusion criteria were described clearly and would result in a representative screening cohort. In addition, the presence of a disease progression bias and a verification bias was determined: did all participants receive their reference test within 3 months? Furthermore, we assessed whether the index test did not form part of the reference standard, whether all subjects received the same reference test, if the test results of both test were interpreted without knowledge of the other test results and whether withdrawals or uninterpretable test results were reported. Results are presented in Appendix 1.
StudypopulationThe following patient characteristics were documented: number of asymptomatic and symptomatic subjects, sex ratio, mean or median age with age range and CT-colonography indication.
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Imaging featuresThe following characteristics were documented regarding the imaging features of CT-colonography: bowel preparation, dietary restrictions, tagging and bowel distension, use of spasmolytical drugs and type of CT-system and CT-parameters, the positioning of the patient and the use of intravenous contrast medium during CT-colonography. For colonoscopy, the type of bowel preparation and dietary restrictions were documented.
ImaginganddiagnosticcriteriaThe following characteristics were documented regarding image analysis of both CT-colonography and colonoscopy: number of diagnostic examinations, number and experience of CT-colonography readers and endoscopists, reading strategy on CT-colonography, use of segmental unblinding or second look colonoscopy, determination of size on CT-colonography and during colonoscopy and histopathological confirmation.
DataextractionFor the analysis per patient, 2×2 contingency tables were constructed to be able to calculate the sensitivity and specificity values for the following type of lesions: all polyps, adenomatous polyps, advanced adenomas (defined as an adenoma with >25% villous features, size ≥10 mm and/or high-grade dysplasia)13, advanced neoplasia and CRC. For each type of lesion, except for CRC, data were collected using the following thresholds: 6–9 mm, ≥6 mm and ≥10 mm, based on the associated potential CRC risk14-16.
For the analysis per polyp, we extracted TP and FN findings to calculate the sensitivity of all polyps, (advanced) adenomas and advanced neoplasia for the same thresholds.
If needed, a request for additional data was send to the corresponding author. If possible, the following matching algorithm was used: the lesion should be at least <50% margin of error in size and should be found in the same or adjacent segment.
StatisticalanalysisHeterogeneity of sensitivity or specificity was assessed using I2-statistics17. If I2-values were >25%, we considered these data significantly heterogeneous, and random-effects analyses were performed. In case ofI2-values <25%, fixed-effects approaches were used. For the per patient analyses, we used bivariate models18 to obtain summary estimates of
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sensitivity and specificity with 95% confidence intervals. For the per polyp analyses, we used univariate models to obtain summary estimates of sensitivity with 95% confidence intervals. All analyses were performed using SAS software (SAS 9.2 procNlmixed, SAS Institute, Cary, NC, USA). Publication bias was examined by constructing funnel plots.
Perpatient The x-axis consisted of the natural logarithm of the diagnostic odds ratio (= (TP X TN) / (FN X FP)). On the y-axis, we plotted the number of patients.
Per lesion The x-axis consisted of the sensitivity, and on the y-axis we plotted the number of patients.Egger’s regression tests were used to examine the asymmetry of the funnel plots. A significant regression coefficient (p value<0.05) indicates an association between sample size and the diagnostic values.
ResultsThe initial search yielded 1,841 articles (Figure 1). By excluding doubles, 1,021 articles remained. After screening on title and abstract, 1,008 articles were excluded. The most frequent reasons for exclusion were study design, study population (i.e. high risk) or non-related to CT-colonography or screening for polyps and CRC (i.e. IBD, MR-colonography). After assessment of 13 full text publications, seven articles were excluded, because they included only (n=2)19,20 or predominantly (n=4) high risk participants (16.7%, 37.0%, 76.6% and 80.4%, respectively)21-24 or because colonoscopy was only offered to a small selection of the participants (n=1)25. Finally, six articles were included in this systematic review describing the results found in five prospective cohort studies26-31. Screening of title and abstract of references and related articles did not result in additional relevant articles.
PatientcharacteristicsPatient characteristics are outlined in Table 1. We included five studies with in total 4,086 patients (54% male). Four studies26-28,30,31 did have a study population of over 200 average risk subjects; the largest population comprised 2,249 average risk subjects27. The smallest study had a population of 68 participants at average risk 29. All studies provided a clear description of patient characteristics and the inclusion and exclusion criteria. Three studies included high risk subjects: 2.6%30,31, 5.2%28 and 11.3%27, respectively. The
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corresponding authors of these papers were contacted to obtain data concerning average risk patients only. This succeeded in two out of three studies, resulting in a total of four datasets containing data of average risk subjects only26-29 and one study including 2.6% high risk participants30,31. Resulting in a total of 4,086 participants, of which 37 were at high risk (0.9%). The mean age varied between 55 and 60.5 years, the minimal age was 50 in four studies26-29.
Figure 1: Flowchart of search strategy, search date: 21st of July, 2010
1
Figure 1: Flowchart of search strategy, search date: 21st of July, 2010
PubMed 920 results
Embase 881 results
Cochrane 40 results
Pubmed, Embase, Cochrane 1841 results in total
1828 studies excluded 820 duplicate studies
1008 did not match inclusion/exclusion criteria (based on screening title and abstract, by 2 independent readers)
13 full text articles Scored for validity and relevance by 2 independent readers
7 articles excluded - predominantly high risk participants (n=5)
- reference test was performed, only if index test was positive (n=2)
6 articles (describing 5 different studies) eligible for review
Produce list of synonyms
(Colonography (includes: CT colonography, CT colonography screening, virtual colonography) OR colography OR CTC OR computerized tomographic colonoscopy OR virtual colonoscopy OR virtual endoscopy OR ct colonoscopy OR ct pneumocolon)
AND (Colonoscopy (includes: optical colonoscopy) OR coloscopy OR OC)
Date of search: July 21, 2010
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Tabl
e 1
Patie
nt c
hara
cter
istics
incl
uded
stud
ies
Auth
orM
ultic
entr
e or
sin
gle
cent
re tr
ial
(n) a
nd d
esig
n
Incl
usio
n cr
iteria
Excl
usio
n cr
iteria
Num
ber o
f sub
ject
s,
incl
uded
in a
naly
sisM
:FAg
e (m
ean,
m
edia
n,
rang
e)
Gras
er 2
009
[26]
Sing
le,
pros
pecti
ve≥5
0 ye
ar
asym
ptom
atica
prio
r OC
prev
ious
5 y
ears
;po
sitive
fam
ily h
istor
y fo
r CRC
or h
ered
itary
CRC
sy
ndro
mes
;hi
stor
y of
IBD;
body
wei
ght >
150
kg;
seve
re c
ardi
ovas
cula
r or p
ulm
onar
y di
seas
e
311
parti
cipa
nts
4 ex
clud
ed: 2
no
colo
nosc
opy
and
2 in
com
plet
e co
lono
scop
yIn
clud
ed in
ana
lysis
307
171:
140
60.5
59.7
50-8
1
John
son
2008
[2
7]M
ulti
(n=1
5),
pros
pecti
ve≥5
0 ye
aras
ympt
omati
cbpr
ior O
C pr
evio
us 5
yea
rs;
positi
ve fa
mily
hist
ory
for C
RC o
r fam
ilial
pol
ypos
is sy
ndro
me;
pers
onal
hist
ory
of IB
D, p
olyp
s and
/or C
RC;
positi
ve F
OBT
;se
rious
med
ical
con
ditio
n th
at in
crea
ses c
ompl
icati
on ri
sk
colo
nosc
opy
2,24
91,
088:
1,16
158
.057
.050
-86
Kim
200
8 [2
8]Si
ngle
, pr
ospe
ctive
≥50
year
asym
ptom
aticc
prio
r OC
prev
ious
5 y
ears
;po
sitive
fam
ily h
istor
y fo
r CRC
or h
ered
itary
CRC
synd
rom
es
(FAP
or H
NPC
C);
hist
ory
of IB
D, a
deno
mat
ous p
olyp
s, b
owel
obs
truc
tion,
isc
hem
ic c
oliti
s or c
olor
ecta
l sur
gery
;po
sitive
FO
BT p
revi
ous 6
mon
ths;
med
ical
con
ditio
n th
at p
recl
ude
the
use
of b
owel
pr
epar
ation
or c
olon
osco
py
229
159:
7058
.1n.
a50
-76
Mac
ari
2004
[2
9]Si
ngle
, pr
ospe
ctive
≥50
year
asym
ptom
atic
(not
spec
ified
)
prio
r sig
moi
dosc
opy,
DBCE
exa
min
ation
or c
olon
osco
py;
positi
ve fa
mily
hist
ory
for C
RC,
hist
ory
of p
olyp
s;po
sitive
FO
BT;
6868
men
55 n.a
50-6
7
Pick
hard
t 20
03 [3
0,31
]M
ulti
(n=4
), pr
ospe
ctive
50-7
9 ye
aras
ympt
omati
cd
aver
age
risk
40-7
9 ye
aras
ympt
omati
cd
positi
ve fa
mily
hi
stor
y of
CRC
prio
r OC
prev
ious
10
year
s or p
rior b
ariu
m e
nem
a pr
evio
us
5 ye
ars;
positi
ve fa
mily
hist
ory
for h
ered
itary
CRC
synd
rom
es (F
AP
or H
NPC
C);
hist
ory
of IB
D, a
deno
mat
ous p
olyp
s or C
RC;
positi
ve g
uaia
c-ba
sed
stoo
l tes
t pre
viou
s 6 m
onth
s;m
edic
al c
ondi
tion
that
pre
clud
es th
e us
e of
sodi
um
phos
phat
e pr
epar
ation
;pr
egna
ncy
1,25
3 pa
rtici
pant
s20
exc
lude
d: 6
in
adeq
uate
pre
para
tion,
8
inco
mpl
ete
colo
nosc
opy,
6 in
com
plet
e CT
C In
clud
ed in
ana
lysis
: 1,
233
(3%
hig
h ris
k)
728:
505
57.8
56 40-7
9
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a asymptomatic = free of symptoms of colonic diseases such as melena, haematochezia, diarrhoea, relevant changes in stool frequency or abdominal painb asymptomatic = no melena, anemia or hematochezia more than ones last 6 months, no lower abdominal painc asymptomatic = no significant GI signs or melena, hematochezia, iron-deficiency anemia, weight loss or abdominal pain within 6 months before studyd asymptomatic = no iron deficiency anemia last 6 months, no melena or hematochezia last 12 months, no unintentional weight loss >10 lb (4.5kg) last 12 months
BowelpreparationandCT-colonographyprocedureBowel preparation and CT-colonography procedure are outlined in Appendix 2.
Three studies used an extensive bowel preparation predominantly based on 4 litres polyethylene glycol26-28 combined with a clear liquid diet26, a low-residue diet28 or dietary restrictions depending on the institutional standard of the clinical centres where the examinations were done27. The remaining two studies both used a more limited preparation based on sodium phosphate29-31. One study combined this with a clear liquid diet30,31, the dietary restrictions of the other study were not specified29.
Three studies used oral tagging26,27,30,31, one study did use intravenous contrast medium28. Of one study it was not specified whether the participants received tagging29. Bowel preparation was the same for colonoscopy, as both colonoscopy and CT-colonography were performed on the same day in all studies.
Bowel distension methods varied between the studies. Two studies used (primarily) automated CO2 insufflation, combined with butyl scopolamine bromide (Buscopan, Boehringer, Ingelheim, Germany)26 or glucagon hydrochloride (GlucaGen, Novo Nordisk A’S, Bagsvaerd, Denmark) as spasmolytical drug27. Three studies used manual room air28-31. In one study no spasmolytical drug was administered28, it was not specified whether spasmolytical drugs were used in the remaining two studies29-31. Two studies used at least 4 slice CT equipment29-31, two studies used at least 16 slice CT27,28 and one study used 64 slice CT26.
StudycharacteristicsStudy characteristics are outlined in Appendix 3. All participants received CT-colonography and colonoscopy on the same day. Different reference standards were used. One study used the colonoscopy results without knowledge of the CT-colonography findings29, two studies used the colonoscopy result after segmental unblinding as reference26,30,31, one study used colonoscopy (followed by a second look colonoscopy if lesions ≥10 mm reported on CT-colonography were missed on the initial colonoscopy) combined with
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histopathology as reference27 and another study used the histopathology results of the polyps that were removed during colonoscopy after segmental unblinding28. It is unclear whether there were any withdrawals in the selected studies. Uninterpretable results of CT-colonography or colonoscopy (outlined in Table 1) were reported and excluded from the analyses in two studies26,30,31.
Image analysisThe characteristics of the readers and the reading strategy are outlined in Appendix 3. The minimal experience of the CT-colonography readers was specified in four out of five studies, and varied between 25 and 100 examinations26-28,30,31. In one study the only reader had 5 years of reading experience29. Two studies used 2D read as primary reading strategy28,29, two studies used 3D read26,30,31 and one study used both reading strategies at random27. None of the included studies specified whether CAD was used. The experience of the endoscopists and use of different scopes of the included studies was not specified in most studies27,29-31. One study had been done by gastroenterologists with a minimum experience of 1,000 colonoscopies26, while the gastroenterologists in another study had a prior experience of 3,000 colonoscopies28.
Size measurement of the polyp was done by the use of an open biopsy forceps26,28,29, by a calibrated linear Probe30,31 or determined by the pathologist27. In all studies histopathology confirmation was available.
DataextractionFour studies used a matching algorithm almost the same as the one described in the methods26,28-31. These studies considered a CT-colonography finding to correspond with a colonoscopy lesion, if it was found in the same or adjacent segment. In addition it should be at least within 50% margin of error in size28, in the same or adjacent size category26,30,31 or should have a size difference of less than 4 mm29 to be considered as a true positive. The fifth study27 used a different matching algorithm: one or more lesions should be in the same size category, irrespective of location. Of this study new data were requested and received, using the matching algorithm as specified in the methods section.
Per patient data for each of the different size categories regarding all polyps and adenomas respectively, could be obtained in three respectively four of the five studies (Table 2). Per polyp data for each of the different size categories regarding all polyps could be obtained in all studies while per
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polyp data for adenomas could be obtained in four studies and per polyp data of advanced adenomas and CRC in three of the five studies (Table 3).
Corresponding I2-values for heterogeneity are reported in Tables 2 and 3. The results of individual studies are shown in forest plots (Figures 2 and 3).
Table 2 Results regarding all polyps, (advanced) adenomatous polyps, colorectal cancer, advanced neoplasia: per patient
All polyps (n=2,853)
6-9 mm ≥6 mm ≥10 mm
TP FP FN TN TP FP FN TN TP FP FN TN
Graser [26] N = 307 25 6 4 272 50 10 6 241 25 4 2 276
Johnson [27] N = 2,249 78 58 51 2,062 156 75 70 1,948 78 17 19 2,135
Kim [28] N = 229 23 14 15 177 36 20 17 156 13 6 2 208
Macari [29] N = 68 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 3 1 0 64
Estimated sensitivityI2 heterogeneitya
Estimated specificityI2 heterogeneitya
68.1 (52.9-80.2)68.2% (29.2-85.7)
96.5 (93.9-98.0)83.7% (61.7-93.1)
75.9 (62.3-85.8)77.0% (46.0-90.2)
94.6 (90.4-97.0)90.4% (78.5-95.7)
83.3 (76.8-89.0)0.0% (0.0-82.0)
98.7 (97.6-99.3)60.1% (15.2-81.2)
Adenomatous polyps (n=4,018)
6-9 mm ≥6 mm ≥10 mm
TP FP FN TN TP FP FN TN TP FP FN TN
Graser [26] N = 307 19 12 2 274 42 18 4 243 23 6 2 276
Johnson [27] N = 2,249 62 61 30 2,096 137 78 45 1,989 75 17 15 2,142
Kim [28] N = 229 22 6 11 190 31 18 12 168 9 12 1 207
Pickhardt [30,31] N = 1,233 104 170 16 943 149 217 19 848 45 47 3 1,138
Estimated sensitivityI2 heterogeneitya
Estimated specificityI2 heterogeneitya
78.6 (66.1-87.3)79.4% (54.2-90.8)
95.0 (89.7-97.6)98.1% (96.9-98.8)
82.9 (73.6-89.4)80.2% (56.0-91.1)
91.4 (84.1-95.5)98.4% (97.6-99.0)
87.9 (82.1-92.0)14.6% (0.0-87.0)
97.6 (95.0-98.9)92.5% (85.3-96.2)
Advanced adenomas ≥6 mm, advanced neoplasia ≥6 mm and CRC (n=2,785)
Advanced adenomas ≥6 mmc
Colorectal cancerc Advanced neoplasia ≥6 mmc
Sensitivity sensitivity sensitivity
Graser [26] N = 307 92.6% 100% 92.9%
Johnson [27] N = 2,249 83.3% 100% 84.0%
Kim [28] N = 229 87.5%b 100% 88.2%b
a If I2-values of sensitivity and/or specificity were larger than 25%, data were considered as significantly heterogeneous b No lesions <6mm foundc Not possible to calculate estimated sensitivity and specificity due to small numbers, data regarding TP, FP, FN and TN values not available
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DataanalysisperpatientAll polyps Estimated sensitivities for polyps ≥6 mm and ≥10 mm (regardless of histology) were 75.9% (95%CI 62.3–85.8) and 83.3% (95%CI 76.8–89.0), while corresponding specificities were 94.6% (95%CI 90.4–97.0) and 98.7% (95%CI 97.6–99.3).Adenomas Estimated sensitivities for adenomas ≥6 mm and ≥10 mm were 82.9% (95%CI 73.6–89.4) and 87.9% (95%CI 82.1–92.0), while corresponding specificities were 91.4% (95%CI 84.1–95.5) and 97.6% (95%CI 95.0–98.9). Estimated sensitivities of all polyps and adenomatous polyps of 6–9 mm are available in Table 2.Advanced adenomas, CRC and advanced neoplasia Estimated results for the detection of advanced adenomas, advanced neoplasia and CRC were not calculated, as a consequence of the small number of participants with these findings (Table 2).
Data analysis per polypAll polyps Estimated sensitivities for polyps ≥6 mm and ≥10 mm (regardless of histology), were 74.3% (95%CI 61.6–83.3) and 83.7% (95%CI 76.6–89.0). Adenomas Estimated sensitivities for adenomas ≥6 mm and ≥10 mm were 80.0% (95%CI 66.9–88.7) and 85.9% (95%CI 80.4–90.0).Advanced adenomas Estimated sensitivities for advanced adenomas ≥6 mm and ≥10 mm were 83.9% (95%CI 77.6–88.7) and 83.3% (95%CI 77.1–88.8). Estimated sensitivities for polyps and (advanced) adenomas of 6–9 mm, are presented in Table 3.Advanced neoplasia and CRC Estimated sensitivities for advanced neoplasia and CRC by CT-colonography were not calculated, as a consequence of the small number of CRCs (n=6) that were detected in the included studies. In all studies, no CRCs were missed (Table 3).
PublicationbiasThe data points in the funnel plots are symmetrically distributed in a funnel shape suggesting the absence of publication bias (Appendix 4a–5b). In addition, the Egger’s regression tests showed no associations between sample size and diagnostic values (data not shown).
Table 3 Results regarding all polyps, (advanced) adenomatous polyps, colorectal cancer and advanced neoplasia: per polyp
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All polyps (n=4,086 participants) 6-9 mm ≥6 mm ≥10 mm
TP FN TP FN TP FN
Graser [26] N = 307 49 7 84 9 35 2
Johnson [27] N = 2,249 113 74 203 97 90 23
Kim [28] N = 229 44 34 60 40 16 6
Macari [29] N = 68 9 8 12 8 3 0
Pickhardt [30,31] N = 1,233 209 54 278 66 69 12
Estimated sensitivityI2 heterogeneitya
69.7 (56.2-80.6)88.6% (77.8-94.2)
74.3 (61.6-83.8)89.3% (79.3-94.4)
83.7 (76.6-89.0)33.3% (0.0-56.9)
Adenomatous polyps (n=4,018 participants)6-9 mm ≥6 mm ≥10 mm
TP FN TP FN TP FN
Graser [26] N = 307 37 4 67 6 30 2
Johnson [27] N = 2,249 81 49 167 68 86 19
Kim [28] N = 229 31 21 44 25 13 4
Pickhardt [30,31] N = 1,233 133 26 180 30 47 4
Estimated sensitivityI2 heterogeneitya
75.7 (60.3-86.5)88.5% (75.9-94.5)
80.0 (66.9-88.7)89.2% (77.7-94.8)
85.9 (80.4-90.0)44.9% (2.8-68.8)
Advanced adenomas (n=2,785 participants)6-9 mm ≥6 mm ≥10 mm
TP FN TP FN TP FN
Graser [26] N = 307 6 0 36 2 30 2
Johnson [27] N = 2,249 0 0 86 19 86 19
Kim [28] N = 229 6 2 19 6 13 4
Estimated sensitivityI2 heterogeneitya
n.a.n.a.
83.9 (77.6-88.7)51.8% (16.2-72.3)
83.8 (77.1-88.8)32.3% (0.0-93.0)
Colorectal cancer (n=2,785 participants)6-9 mm ≥6 mm ≥10 mm
TP FN TP FN TP FN
Graser [26] N = 307 0 0 1 0 1 0
Johnson [27] N = 2,249 0 0 4 0 4 0
Kim [28] N = 229 0 0 1 0 1 0
Not possible to calculate estimated sensitivity due to small numbers
Advanced neoplasia (n=2,785 participants)6-9 mm ≥6 mm ≥10 mm
TP FN TP FN TP FN
Graser [26] N = 307 6 0 37 2 31 2
Johnson [27] N = 2,249 0 0 90 19 90 19
Kim [28] N = 229 6 2 20 6 14 4
Not possible to calculate estimated sensitivity due to small numbers
a If I2-values of sensitivity and/or specificity were larger than 25%, data were considered as significantly heterogeneous
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Figure 2 Forest plot of per patient sensitivity and specificity, including sensitivity and specificity estimates, for all polyps. Summary statistics: estimated sensitivities for polyps ≥6 mm and ≥10 mm were 75.9% (95% CI 62.3–85.8) and 83.3% (95% CI 76.8–89.0), corresponding estimated specificities 94.6% (90.4–97.0) and 98.7% (97.6–99.3)
0.4 0.5 0.6 0.7 0.8 0.9 1
Sensitivity of CT-colonography for the detection of polyps, per patient (including 95% CI)
All polyps ≥10 mm
Johnson [27]
Pooled (I2 = 77.0%)
Johnson [27]
Graser [26]
Kim [28]
Pooled (I2 = 0.0%)
Macari [29]
Graser [26]
Kim [28]
All polyps ≥6 mm
0.7 0.75 0.8 0.85 0.9 0.95 1
Specificity of CT-colonography for the detection of polyps, per patient (including 95% CI)
Johnson [27]
Graser [26]
Kim [28]
Pooled (I2 = 90.4%)
Johnson [27]
Graser [26]
Kim [28]
Pooled (I2 = 60.1%)
Macari [29]
All polyps ≥10 mm
All polyps ≥6 mm
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| Accuracy of CTC in screening: meta-analysis
Figure 3 Forest plot of per patient sensitivity and specificity, including sensitivity and specificity estimates, for adenomas. Summary statistics: estimated sensitivities for adenomas ≥6 mm and ≥10 mm were 82.9 (73.6–89.4) and 87.9 (82.1– 92.0), corresponding estimated specificities 91.4 (84.1–95.5) and 97.6 (95.0–98.9)
0.4 0.5 0.6 0.7 0.8 0.9 1
Sensitivity of CT-colonography for the detection of adenomas, per patient (including 95% CI)
Johnson [27]
Pickhardt [30,31]
Graser [26]
Pooled (I2 = 80.2%)
Kim [28]
Adenomas ≥6 mm
Adenomas ≥10 mm
Johnson [27]
Pickhardt [30,31]
Graser [26]
Pooled (I2 = 14.6%)
Kim [28]
0.7 0.75 0.8 0.85 0.9 0.95 1
Specificity of CT-colonography for the detection of adenomas, per patient (including 95% CI)
Johnson [27]
Pickhardt [30,31]
Graser [26]
Pooled (I2 = 98.4%)
Kim [28]
Adenomas ≥6 mm
Adenomas ≥10 mm
Johnson [27]
Pickhardt [30,31]
Graser [26]
Pooled (I2 = 92.5%)
Kim [28]
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DiscussionThis systematic review demonstrates an estimated per patient sensitivity and specificity of CT-colonography for the detection of adenomas ≥6 mm of 82.9% (95%CI 74–89%) and 91.4% (95%CI 84–96%) in asymptomatic screening participants. The estimated per patient sensitivity and specificity for adenomas ≥10 mm, were 87.9% (95%CI 82–92%) and 97.6% (95%CI 95–99%). The estimated per patient sensitivities for all colorectal polyps were slightly lower. All six CRCs were detected by CT-colonography.
As we obtained additional data of the studies in which high risk participants were excluded27,28, the study results might not be identical to previously published data. In addition, the results of Johnson et al27 are different then published before, as we used a different matching algorithm then the one that was used in their study, resulting in lower sensitivities and higher specificities.
There are a few explanations available for the substantial variability between studies in sensitivity and specificity. The largest study27 (n=2,249 participants), did not report lesions <5 mm found on CT-colonography (while a colonoscopy lesion of 6 mm could match a CT-colonography lesion of 3 mm) and performed no second look colonoscopy for colonoscopy negative CT-colonography lesions <10 mm . Obviously, both factors will probably result in a lower sensitivity for medium sized adenomas and a less prominent difference in the detection of adenomas ≥10 mm compared to the studies of Graser26 and Pickhardt30,31. The second explanation could be the use of primary 2D or primary 3D read: those studies with the highest sensitivities for the detection of adenomas used primary 3D read26,30,31; the other studies used primary 2D read28,29 or both methods randomly27. However, there is conflicting evidence regarding the possible difference of sensitivity when using primary 2D or 3D read32,33.
To our knowledge this is the first meta-analysis in which the diagnostic value of CT-colonography is compared to colonoscopy for the detection of (adenomatous) polyps and CRC in an average risk population. Previously, at least five systematic reviews6-10 were published describing the diagnostic value of CT-colonography in general (not specified for (advanced) adenomas), including both average risk and high risk populations. By comparing our results to the estimated sensitivities per patient for polyps 6–9 mm and ≥10 mm published previously, we found lower sensitivities, especially when looking at polyps of 6–9 mm. Estimated sensitivities per patient for polyps 6–9 mm published before
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| Accuracy of CTC in screening: meta-analysis
were 59%, 70%, 84% and 86%, respectively6-8,10, while we calculated an estimated sensitivity of 68.1%. Estimated sensitivities per patient for polyps ≥10 mm were 76%, 85%, 88% and 93%, respectively6-8,10, while we calculated an estimated sensitivity of 83.3%. The fifth meta-analysis reported results using different thresholds9.
Our study has several strengths. We aimed to use data on average risk participants only and collected data regarding all polyps, (advanced) adenomas and CRC. This provided the possibility to estimate the diagnostic value of CT-colonography for adenomas and CRC in a screening setting. In order to perform an unbiased study selection, two reviewers independently selected possible relevant articles.
Our study also has several limitations. Although we tried to include only individuals at average risk, we could not obtain these data from one study30,31. Therefore, 37 individuals (0.9%) at high risk were included. However, it is assumable that this will be daily practice in screening and it is unlikely that this small number will have a substantial impact on the results. Secondly, participants of two studies comprised the majority of included participants, which might give the impression that this meta-analysis is actually a two study meta-analysis. However, the results of the two largest studies were heterogeneous and, moreover, were not at one end of the spectrum of the sensitivity or specificity range. Therefore it is unlikely that the larger studies skewed the results in one direction (of higher or lower values). Furthermore, sensitivity and specificity estimates were calculated using statistical analyses in which the individual studies are weighted by number of included participants18. Thirdly, we did not calculate the negative predictive value (NPV) because the prior probability of a negative outcome was high34. Fourthly, it is known that colonoscopy is not 100% sensitive for colorectal lesions and therefore no perfect reference standard35. Using the colonoscopy results after segmental unblinding and compared with histology, would be the best reference standard. Fifthly, because of limited data we were not able to calculate estimated sensitivities per patient for the detection of advanced adenomas, advanced neoplasia and CRC.
In summary, this meta-analysis of prospective studies studying the diagnostic value of CT-colonography compared to colonoscopy in an average risk population, shows that CT-colonography has a good sensitivity for (advanced) adenomas ≥10 mm. For (advanced) adenomas ≥6 mm sensitivity is somewhat lower.
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Acknowledgment The authors acknowledge the authors of the included studies26,28-31 and the American College of Radiology Imaging Network27 for providing us with additional data.
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References1. McFarland EG, Levin B, Lieberman DA, Pickhardt PH, et al. Revised colorectal screening
guidelines: joint effort of the American Cancer Society, U.S. Multisociety Task Force on Colorectal Cancer, and American College of Radiology. Radiology 2008; 248: 717–720.
2. Levin B, Lieberman DA, McFarland B, et al. Screening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology. Gastroenterology 2008; 134: 1570–1595.
3. Allen JD, Barlow WE, Duncan RP, et al. NIH state-of-the-science conference statement: enhancing use and quality of colorectal cancer screening. NIH Consens State Sci Statements 2010; 27.
4. Sung JJ, Lau JY, Young GP, et al. Asia Pacific consensus recommendations for colorectal cancer screening. Gut 2008; 57: 1166–1176.
5. Rex DK, Johnson DA, Anderson JC, Schoenfeld PS, Burke CA, Inadomi JM. American College of Gastroenterology. American College of Gastroenterology guidelines for colorectal cancer screening. Am J Gastroenterol 2009; 104: 739–750.
6. Sosna J, Morrin MM, Kruskal JB, Lavin PT, Rosen MP, Raptopoulos V. CT colonography of colorectal polyps: a metaanalysis. AJR Am J Roentgenol 2003; 181: 1593–1598 .
7. Mulhall BP, Veerappan GR, Jackson JL. Meta-analysis: computed tomographic colonography. Ann Intern Med 2005; 142: 635–650.
8. Halligan S, Altman DG, Taylor SA, et al. CT colonography in the detection of colorectal polyps and cancer: systematic review, meta-analysis, and proposed minimum data set for study level reporting. Radiology 2005; 237: 893–904.
9. Rosman AS, Korsten MA. Meta-analysis comparing CT colonography, air contrast barium enema, and colonoscopy. Am J Med 2007; 120: 203–210.
10. Chaparro M, Gisbert JP, Del Campo L, Cantero J, Maté J. Accuracy of computed tomographic colonography for the detection of polyps and colorectal tumors: a systematic review and meta-analysis. Digestion 2009; 80: 1–17.
11. Winawer SJ, Fletcher RH, Miller L, et al. Colorectal cancer screening: clinical guidelines and rationale. Gastroenterology 1997; 112: 594–642.
12. Whiting P, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol 2003; 3: 25.
13. Winawer SJ, Zauber AG. The advanced adenoma as the primary target of screening. Gastrointest Endosc Clin N Am 2002; 12: 1–9.
14. Iafrate F, Hassan C, Pickhardt PJ, et al. Portrait of a polyp: the CTC dilemma. Abdom Imaging 2010; 35: 49–54.
15. Bond JH. Polyp guideline: diagnosis, treatment, and surveillance for patients with nonfamilial colorectal polyps. The Practice Parameters Committee of the American College of Gastroenterology Ann Intern Med 1993; 119: 836–843.
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16. Lieberman D, Moravec M, Holub J, Michaels L, Eisen G. Polyp size and advanced histology in patients undergoing colonoscopy screening: implications for CT colonography. Gastroenterology 2008; 135: 1100–1105.
17. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003; 327: 557–560.
18. Reitsma JB, Glas AS, Rutjes AW, Scholten RJ, Bossuyt PM, Zwinderman AH. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol 2005; 58: 982–990.
19. Arnesen RB, von Benzon E, Adamsen S, Svendsen LB, Raaschou HO, Hansen OH. Diagnostic performance of computed tomography colonography and colonoscopy: a prospective and validated analysis of 231 paired examinations. Acta Radiol 2007; 48: 831–837.
20. Fidler JL, Johnson CD, MacCarty RL, Welch TJ, Hara AK, Harmsen WS. Detection of flat lesions in the colon with CT colonography. Abdom Imaging 2002; 27: 292–300.
21. Wessling J, Domagk D, Lugering N, et al. Virtual colonography: identification and differentiation of colorectal lesions using multi-detector computed tomography. Scand J Gastroenterol 2005; 40: 468–476.
22. Rex DK, Vining D, Kopecky KK. An initial experience with screening for colon polyps using spiral CT with and without CT colography (virtual colonoscopy). Gastrointest Endosc 1999; 50: 309–313.
23. Pineau BC, Paskett E, Chen GJ, et al. Virtual colonoscopy using oral contrast compared with colonoscopy for the detection of patients with colorectal polyps. Gastroenterology 2003; 125: 304–310.
24. Iannaccone R, Laghi A, Catalano C, et al. Detection of colorectal lesions: lower-dose multi-detector row helical CT colonography compared with conventional colonoscopy. Radiology 2003; 229: 775–781.
25. An S, Lee KH, Kim YK, et al. Screening CT colonography in an asymptomatic averagerisk Asian population: a 2-year experience in a single institution. Am J Roentgenol 2008; 191: W100–W106
26. Graser A, Stieber P, Nagel D, et al. Comparison of CT colonography, colonoscopy, sigmoidoscopy and faecal occult blood tests for the detection of advanced adenoma in an average risk population. Gut 2009; 58: 241–248.
27. Johnson CD, Chen MH, Toledano AY, et al. Accuracy of CT colonography for detection of large adenomas and cancers. N Engl J Med 2008; 359: 1207–1217.
28. Kim YS, Kim N, Kim SH, et al. The efficacy of intravenous contrast-enhanced 16-raw multidetector CT colonography for detecting patients with colorectal polyps in an asymptomatic population in Korea. J Clin Gastroenterol 2008; 42: 791–798.
29. Macari M, Bini EJ, Jacobs SL, et al. Colorectal polyps and cancers in asymptomatic average-risk patients: evaluation with CT colonography. Radiology 2004; 230:629–636.
30. Pickhardt PJ, Choi JR, Hwang I, et al. Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N Engl J Med 2003; 349: 2191–2200.
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31. Pickhardt PJ, Choi JR, Hwang I, Schindler WR. Nonadenomatous polyps at CT colonography: prevalence, size distribution, and detection rates. Radiology 2004; 232: 784–790.
32. Pickhardt PJ, Lee AD, Taylor AJ, et al. Primary 2D versus primary 3D polyp detection at screening CT colonography. AJR Am J Roentgenol 2007; 189: 1451–1456.
33. De Vries AH, Liedenbaum MH, Bipat S, et al. Primary uncleansed 2D versus primary electronically cleansed 3D in limited bowel preparation CT-colonography. Is there a difference for novices and experienced readers? Eur Radiol 2009; 19: 1939–1950.
34. Howson, Colin, Peter Urbach. Scientific reasoning: The Bayesian approach. Open Court 1993.
35. Van Rijn JC, Reitsma JB, Stoker J, Bossuyt PM, van Deventer SJ, Dekker E. Polyp miss rate determined by tandem colonoscopy: a systematic review. Am J Gastroenterol 2006; 101: 343–350.
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Appendix 1 Ta
ble
4 Q
ualit
y as
sess
men
t of a
ll in
clud
ed st
udie
s usin
g th
e Q
UADA
S-to
ol
Gra
ser,
2009
[26]
John
son,
200
8 [2
7]Ki
m,
2008
[28]
Mac
ari,
2004
[2
9]Pi
ckha
rdt,
2003
[30,
31]
Spec
trum
of p
atien
ts re
pres
enta
tive
of th
e pa
tient
s who
will
rece
ive
the
test
in
pra
ctice
?Ye
sYe
sYe
sYe
sYe
s
Wer
e se
lecti
on c
riter
ia c
lear
ly d
escr
ibed
?Ye
sYe
sYe
sYe
sYe
s
Is th
e re
fere
nce
stan
dard
like
ly to
cor
rect
ly c
lass
ify th
e ta
rget
con
ditio
n?Ye
sYe
sYe
sYe
sYe
s
Is th
e tim
e pe
riod
betw
een
refe
renc
e st
anda
rd a
nd in
dex
test
shor
t eno
ugh
to p
reve
nt c
hang
e of
the
targ
et c
ondi
tion
betw
een
the
two
test
s?a
Yes,
sam
e da
yYe
s, sa
me
day
Yes,
sam
e da
yYe
s, sa
me
day
Yes,
sam
e da
y
Did
all s
ubje
cts r
ecei
ve v
erifi
catio
n us
ing
a re
fere
nce
stan
dard
of d
iagn
osis
?Ye
sYe
sYe
sYe
sYe
s
Did
all s
ubje
cts r
ecei
ve th
e sa
me
refe
renc
e st
anda
rd re
gard
less
of t
he in
dex
test
resu
lt?Ye
sYe
sYe
sYe
sYe
s
Was
the
refe
renc
e st
anda
rd in
depe
nden
t of t
he in
dex
test
?N
obN
o, p
artly
cN
obYe
sN
ob
Exec
ution
of t
he in
dex
test
des
crib
ed in
suffi
cien
t det
ail t
o pe
rmit
repl
ica-
tion?
Yes
Yes
Yes
Yes
Yes
Exec
ution
of t
he re
fere
nce
stan
dard
des
crib
ed in
suffi
cien
t det
ail t
o pe
rmit
repl
icati
on?
Yes
Yes
Yes
Yes
Yes
Wer
e th
e in
dex
test
resu
lts in
terp
rete
d w
ithou
t kno
wle
dge
of th
e re
sults
of
the
refe
renc
e st
anda
rd?
Yes
Yes
Yes
Yes
Yes
Wer
e th
e re
fere
nce
stan
dard
resu
lts in
terp
rete
d w
ithou
t kno
wle
dge
of th
e re
sults
of t
he in
dex
test
?Ye
sYe
sYe
sYe
sYe
s
Wer
e th
e sa
me
clin
ical
dat
a av
aila
ble
whe
n te
st re
sults
wer
e in
terp
rete
d as
w
ould
be
avai
labl
e w
hen
the
test
is u
sed
in p
racti
ce?
Yes
Yes
Yes
Yes
Yes
Wer
e un
inte
rpre
tabl
e/ in
term
edia
te te
st re
sults
repo
rted
?Ye
sYe
s, p
artly
dU
ncle
arU
ncle
arYe
s
Wer
e w
ithdr
awal
s fro
m th
e st
udy
expl
aine
d?U
ncle
are
Unc
lear
eU
ncle
are
Unc
lear
eU
ncle
are
VALI
DYe
sYe
sYe
sYe
sYe
s
RELE
VAN
TYe
sYe
sYe
sYe
sYe
s
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| Accuracy of CTC in screening: meta-analysis
a De
fined
as <
3 m
onth
s.
b Re
fere
nce
stan
dard
= c
olon
osco
py a
fter s
egm
enta
l unb
lindi
ng o
r sec
ond
look
col
onos
copy
.c Re
fere
nce
stan
dard
= c
olon
osco
py fo
llow
ed b
y a
seco
nd lo
ok c
olon
osco
py if
ther
e w
as n
o m
atch
for p
olyp
s >9
mm
on
CT-c
olon
ogra
phy.
d O
f the
2,6
00 su
bjec
ts re
crui
ted,
69
subj
ects
wer
e ex
clud
ed in
the
anal
ysis
as a
con
sequ
ence
of i
ncom
plet
e co
lono
scop
y an
d/or
CT-
colo
nogr
aphy
resu
lts, n
ot fu
rthe
r spe
cifie
d.e In
non
e of
the
stud
ies w
as e
xpla
ined
whe
ther
ther
e w
ere
any
with
draw
als f
rom
the
stud
y.
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Appendix 2Ta
ble
5 CT
-col
ongr
aphy
imag
ing
char
acte
ristic
s
Auth
orPr
epar
ation
, inc
ludi
ng
diet
ary
rest
rictio
ns*
Tagg
ing*
Bran
ch n
ame
and
type
of s
cann
erBo
wel
dis
tens
ion,
m
anua
l or a
utom
atic
Spas
mol
ytica
l dr
ugs
Tech
nica
l asp
ect
Gra
ser,
2009
[26]
Exte
nsiv
e:
4L P
EG
4x5
mg
bisa
cody
l 30
ml s
odiu
mph
osph
ate
Clea
r liq
uid
diet
50 m
l iop
amid
ol
Siem
ens S
omat
on
Sens
ation
, m
ultis
lice:
64
Both
:74
% a
utom
ated
CO
2 in
suffl
ation
26%
man
ual r
oom
ai
r ins
ufflati
on
buty
lscop
ola-
min
20
mg/
ml i
.v.
Supi
ne a
nd p
rone
;Co
llim
ation
0.6
mm
;Sl
ice
thic
knes
s 0.7
5 m
m;
Reco
nstr
uctio
n in
terv
al
0.5
mm
;Tu
be v
olta
ge 1
20 k
Vp;
Ref 7
0mAs
supi
ne (3
.2
mSv
) and
30m
As p
rone
(1
.3 m
Sv)
John
son,
200
8 [2
7]Ex
tens
ive:
10
mg
bisa
cody
l (or
cur
-re
nt in
stitu
tiona
l sta
ndar
d)
com
bine
d w
ith
- PEG
in 4
2%
- sod
ium
phos
phat
e in
54%
- mag
nesiu
m c
itrat
e in
4%
O
R ot
her s
ubst
ance
s in
<1%
Diet
dep
ende
d on
dai
ly
prac
tice
in e
ach
parti
cipa
t-in
g ce
ntre
bariu
m su
lfate
in
4%
OR
iodi
nate
d co
ntra
st in
1%
OR
both
in 9
4%
OR
neith
er in
dica
ted
in 1
%
Siem
ens (
58%
), GE
(3
4%),
Phili
ps (4
%),
Tosh
iba
(4%
)
Mul
tislic
e:
16 sl
ice
in 4
7%40
slic
e in
4%
64 sl
ice
in 5
0%
Both
:au
tom
ated
CO
2 in
suffl
ation
was
use
d pr
imar
ily, i
f col
onic
in
suffl
ation
was
in-
adeq
uate
, man
ual
insu
fflati
on o
f roo
m
air w
as u
sed
92%
glu
cago
n 1
mg
s.c.
7-
15 m
inut
es
befo
re e
xam
i-na
tion
Supi
ne a
nd p
rone
;Co
llim
ation
0.5
-1.0
mm
;Sl
ice
thic
knes
s 1.0
-1.2
5 m
m;
Reco
nstr
uctio
n in
terv
al
0.8m
m;
Peak
vol
tage
120
kV;
50 e
ffecti
ve m
As
Kim
, 20
08 [2
8]Ex
tens
ive,
bas
ed o
n pa
rtici
-pa
nt’s
pref
eren
ce:
- 4L
PEG
in 7
1%
- 90m
l so
dium
phos
phat
e 29
%Al
l sub
ject
s rec
eive
d 10
mg
bisa
cody
l the
day
bef
ore
the
proc
edur
e an
d 20
mg
bisa
cody
l 1h
befo
re C
TC
Low
-res
idue
die
t
No,
i.v.
150
ml i
opro
-m
ide
Siem
ens S
omat
on
Sens
ation
, mul
-tis
lice:
16
Man
ual r
oom
air
insu
fflati
on
No
Supi
ne a
nd p
rone
;Co
llim
ation
2.0
mm
; Sl
ice
thic
knes
s 2.0
mm
;Re
cons
truc
tion
inte
rval
1.
0mm
;Tu
be v
olta
ge 1
20 k
Vp;
50 e
ffecti
ve m
As p
rone
, 12
0 eff
ectiv
e m
As su
pine
21646 BW deHaan F.indd 48 22-03-12 22:55
Chapter 2 |
49
| Accuracy of CTC in screening: meta-analysis
Mac
ari,
2004
[2
9]Li
mite
d:2
x 45
ml p
hosp
hoso
da o
n th
e da
y pr
ior t
o th
e st
udy
Diet
not
spec
ified
Not
spec
ified
Siem
ens P
lus 4
Vo
lum
e Zo
om,
Mul
tislic
e: 4
Man
ual r
oom
air
insu
fflati
on(m
inim
um o
f 40
puffs
)
Not
spec
ified
Supi
ne a
nd p
rone
;Co
llim
ation
4x1
mm
;Sl
ice
thic
knes
s 1.2
5 m
m;
Reco
nstr
uctio
n in
terv
al
1 m
m;
Tube
vol
tage
120
kVp
;50
effe
ctive
mAs
Pick
hard
t, 20
03
[30,
31]
Lim
ited:
90m
l sod
ium
pho
spha
te10
mg
bisa
cody
l
Clea
r liq
uid
diet
500
ml o
f bar
ium
(2.1
%
) 12
0 m
l dia
trizo
ate
meg
lum
ine
and
diat
ri-zo
ate
sodi
um
GE L
ight
spee
d or
Li
ghtS
peed
Ultr
a,
Mul
tislic
e: 4
or 8
Man
ual r
oom
air
insu
fflati
onN
ot sp
ecifi
edSu
pine
and
pro
ne;
Colli
mati
on 1
.25-
2.5
mm
;Sl
ice
thic
knes
s unc
lear
;Re
cons
truc
tion
inte
rval
of
1mm
;Tu
be v
olta
ge 1
20kV
p;10
0 m
As
21646 BW deHaan F.indd 49 22-03-12 22:55
50
| co
lore
ctal
can
cer s
cree
ning
CT-c
olon
ogra
phy
in p
opul
ation
-bas
ed |
Appendix 3Ta
ble
6 Ch
arac
teris
tics o
f rea
ders
and
refe
renc
e st
anda
rd
Auth
orCT
C re
ader
s,
expe
rienc
eCT
C re
adin
g st
rate
gyCT
C re
port
Endo
scop
ists
Mea
sure
men
t of
pol
yp (O
C)Se
gmen
tal
unbl
indi
ng (S
U)
or se
cond
look
co
lono
scop
y (S
LC)
Hist
opa-
thol
ogy
CTC
lesi
on tP
co
mpa
red
to
colo
nosc
opy
Refe
renc
est
anda
rd
Gra
ser,
2009
[26]
3 ab
dom
inal
radi
-ol
ogist
, >30
0 CT
C ex
amin
ation
s
prim
ary
3D
(2D
prob
lem
so
lvin
g)
Loca
tion
Size
2D
6 ga
stro
ente
r-ol
ogist
s >1,
000
colo
nosc
opie
s
open
bio
psy
forc
eps
SU, d
irect
ly S
LCYe
ssa
me/
adja
cent
se
gmen
t and
siz
e ca
tego
ry
colo
nos-
copy
re-
sults
afte
r se
gmen
tal
unbl
indi
ng
John
son,
20
08 [2
7]15
radi
olog
ists,
>5
00 C
TC e
xam
i-na
tions
or 1
.5 d
ay
trai
ning
sess
ion,
w
ith d
etec
tion
rate
≥90
% fo
r po
lyps
≥10
mm
(q
ualif
ying
exa
mi-
natio
n)
at ra
ndom
: 50
% p
rimar
y 2D
(3D
prob
-le
m so
lvin
g)
50%
prim
ary
3D (2
D pr
ob-
lem
solv
ing)
Loca
tion
Size
2D
Onl
y le
sions
≥5
mm
repo
rted
Degr
ee o
f di
agno
stic
confi
denc
e
perf
orm
ed o
r di
rect
ly su
per-
vise
d by
an
expe
rienc
ed
gast
roen
tero
lo-
gist
(inf
orm
a-tio
n re
gard
ing
expe
rienc
e no
t co
llect
ed)
dete
rmin
ed
from
pat
holo
gy
repo
rt u
nles
s no
t com
plet
ely
rese
cted
, the
n co
lono
scop
y-de
rived
esti
-m
ates
wer
e us
ed
SLC
<90
days
if
lesio
ns >
9 m
m
wer
e de
tect
ed
on C
TC
Yes
one
or m
ore
lesio
ns m
et
the
crite
ria fo
r siz
e (6
-9 m
m
or >
9 m
m)
iden
tified
colo
nosc
o-py
+/-
SLC
+
hist
opa-
thol
ogy
Kim
, 20
08 [2
8]2
abdo
min
al ra
di-
olog
ist, >
100
CTC
exam
inati
ons
prim
ary
2D
(3D
prob
lem
so
lvin
g)
Loca
tion
Size
2D
Mor
phol
ogy
5 ga
stro
ente
r-ol
ogist
s>3
,000
colo
nos-
copi
es
open
bio
psy
forc
eps
SU, d
irect
ly S
LCYe
ssa
me/
adja
cent
se
gmen
t, siz
e of
lesio
ns
shou
ld b
e at
le
ast <
50%
m
argi
n of
er
ror,
sim
ilar
mor
phol
ogy
Perp
atien
t: hi
stop
a-th
olog
y
(all
poly
ps
resu
lting
O
C +
SU)
Per p
olyp
:co
lono
s-co
py a
fter
segm
enta
l un
blin
ding
21646 BW deHaan F.indd 50 22-03-12 22:55
Chapter 2 |
51
| Accuracy of CTC in screening: meta-analysis
Mac
ari,
2004
[29]
1 ra
diol
ogist
, 5
year
s CTC
read
ing
expe
rienc
e
prim
ary
2D
(3D
prob
lem
so
lvin
g)
Loca
tion
Size
(not
spec
i-fie
d)M
orph
olog
y
1 ga
stro
ente
r-ol
ogist
with
5
year
s exp
eri-
ence
and
1 G
E fe
llow
with
di
rect
supe
rvi-
sion
open
bio
psy
forc
eps
Non
eYe
ssa
me/
adja
cent
se
gmen
t, siz
e di
ffere
nce
≤3
mm
, sim
ilar
mor
phol
ogy
colo
nosc
o-py
with
out
know
ledg
e of
CTC
find
-in
gs
Pick
hard
t, 20
03
[30,
31]
6 ra
diol
ogist
s, ≥
25
CTC
exam
inati
ons
prim
ary
3D
(2D
prob
lem
so
lvin
g)
Loca
tion
Size
3D
Mor
phol
ogy
Degr
ee o
f di
agno
stic
confi
denc
e
14 g
astr
oent
er-
olog
ists
3 co
lore
ctal
su
rgeo
nsSe
vera
l yea
rs
expe
rienc
e
calib
rate
d lin
ear p
robe
SU, d
irect
ly S
LC
if fin
ding
on
CTC
≥5 m
m
Yes
sam
e/ad
jace
nt
segm
ent,
size
of le
sions
sh
ould
be
at
leas
t <50
%
mar
gin
of
erro
r
colo
nos-
copy
re-
sults
afte
r se
gmen
tal
unbl
indi
ng
21646 BW deHaan F.indd 51 22-03-12 22:55
52
| co
lore
ctal
can
cer s
cree
ning
CT-c
olon
ogra
phy
in p
opul
ation
-bas
ed |
Appendix 4Figure 4 a Funnel plot per patient, all polyps, b Funnel plot per patient, adenomas
2500,00 6-9 mm>=6 mm>=10 mm
2000,00
1500,00
1000,00
500,00
0,00
2,00 3,00 4,00 5,00 6,00 7,00Natural logarithm of the diagnostic odds ratio
Num
ber o
f pati
ents
2500,00 6-9 mm>=6 mm>=10 mm
2000,00
1500,00
1000,00
500,00
0,00
2,00 3,00 4,00 5,00 6,00 7,00
Num
ber o
f pati
ents
Natural logarithm of the diagnostic odds ratio
21646 BW deHaan F.indd 52 22-03-12 22:55
Chapter 2 |
53
| Accuracy of CTC in screening: meta-analysis
Appendix 5Figure 5 a Funnel plot per polyp, all polyps, b Funnel plot per polyp, adenomas
2500,00 6-9 mm>=6 mm>=10 mm
2000,00
1500,00
1000,00
500,00
0,00
0,50 0,60 0,70 0,80 0,90 1,00
Num
ber o
f pati
ents
2500,00 6-9 mm>=6 mm>=10 mm
2000,00
1500,00
1000,00
500,00
0,00
0,50 0,60 0,70 0,80 0,90 1,00
Num
ber o
f pati
ents
Sensitivity per lesion
Sensitivity per lesion
21646 BW deHaan F.indd 53 22-03-12 23:20