iscd 2012 punyanitya dxa-vat presentation
DESCRIPTION
Visceral Adipose Tissue (fat in and around abdominal organs) has been shown to be a risk factor for all cause mortality in men. VAT is a unique, fat depot associated with metabolic risk factors (triglycerides, cholesterol, fasting glucose, hypertension) and Cardiovascular Disease. Magnetic Resonance Imaging and Computed Tomography for the quantification of VAT will be discussed, as well as slice location, spacing, and selection. The latest developments for the estimation of VAT by DXA will be covered, along with recommendations for future research and use.TRANSCRIPT
EVOLUTION OF BONE DENSITOMETRYNOVEL DXA USESNOVEL DXA USES
M h 8th 2012March 8th, 2012ISCD 2012: Los Angeles, CA
Mark PunyanityaBiomedical Engineer
TYPES OF FATSubcutaneous Adipose Tissue (SAT)
S b t f t f d d th th ki
Apple shape vs. Pear shape
Subcutaneous fat found underneath the skin, which may cause dimpling and cellulite
Fat accumulated in the lower body (the pear shape) is subcutaneous
Above the waist p )
Visceral Adipose Tissue (VAT)
Below the waist
Also known as, intra-abdominal fat, belly fat, beer belly, central adiposity
Visceral fat pads all internal vital organs such asVisceral fat pads all internal vital organs such as stomach, kidney, heart and also pancreas
Fat in the abdominal area (the apple shape) is largely visceral
Apple shape•More visceral fat•Higher risk of weight‐related health problems
Pear shape•Less visceral fat•Lower risk of weight‐related health problems
S GSK d i i l Metabolically activeSource: GSK education material
http://www.alli.co.uk/How‐alli‐works/How‐visceral‐fat‐works/
VISCERAL ADIPOSE TISSUE (VAT)
• VAT (fat in and around abdominal organs) has been shown to be a risk factor for allshown to be a risk factor for all cause mortality in men1
• VAT is a unique pathogenic fat• VAT is a unique, pathogenic fat depot2 associated with metabolic risk factors (triglycerides cholesterol(triglycerides, cholesterol, fasting glucose, hypertension) and CVD
1Kuk JL, et al Visceral fat is an independent predictor of all-cause mortality in men. Obesity. 2006;14(2):336-41.
2Fox CS, et al Abdominal visceral and subcutaneous adiposeFox CS, et al Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation. 2007 Jul 3;116(1):39-48.
VISCERAL FAT AND METABOLIC RISK
Key PointsKey Points Recent study of more than 3000
participants drawn from the Framingham Heart Study showed
SAT and VAT are correlated with metabolic risk factors
VAT more strongly associated withVAT more strongly associated with an adverse metabolic risk profile
GR = 4.7/SD (Females)
G /S ( ) GR = 4.2/SD (Males)
.
Fox CS et al. (2007) Circulation 116 39-48
VisceralAdiposeTissue
ResidualTissue
Compartment
SubcutaneousAdiposeTiss e CompartmentTissue
WHOLE BODY MRI ANALYSISWHOLE-BODY MRI ANALYSIS
VisceralAdiposeTissue
SubcutaneousAdiposeTissue
MuscleTissue
ResidualTiss e
Tissue
TissueCompartment
VisceralVisceralAdiposeTissue
MuscleTissue
Subcutaneous
Resid al
SubcutaneousAdiposeTissue
ResidualTissue
Compartment
RELIABILITY MEASURE FOR MRIRELIABILITY MEASURE FOR MRIICC CVICC CV
Skeletal Muscle 0.99 2-5%Subcutaneous AT 0.99 2-5%Vi l ATVisceral AT 0.95 2-5%Intermuscular AT 0 97 5-8%0.97 5 8%
SENSITIVITY MEASURE FOR MRIMRI Baseline SD of Individual Group
SENSITIVITY MEASURE FOR MRI
(kg)ase e
(mean)S o
changes(1 year)
d dua95% CI
G oup95% CI(N=20)
SM 18 6 0 40 0 82 0 19SM 18.6 0.40 0.82 0.19TAT 26.8 1.00 2.06 0.47SAT 24 0 0 90 1 85 0 43SAT 24.0 0.90 1.85 0.43VAT 1.9 0.20 0.41 0.09IMAT 1 08 0 10 0 21 0 05IMAT 1.08 0.10 0.21 0.05
MRI AnalysisMRI Analysis•Tissues were segmented by trained technicians using
MRI AnalysisMRI Analysis
commercially available image analysis software. •Analysis time: 24 hours for ysubcutaneous adipose tissue, skeletal muscle, Visceral adipose tissue, p ,Bone+organ, Intramuscular adipose tissue, lung.
‐Shen W., et al., Curr Opin Clin Nutr Metab Care.‐2006;8:595‐601
The % difference between Vgap and Vtrue was generally smaller with the decrease of gap size
2 cm gap 3 cm gap 4 cm gap 5 cm gap
generally smaller with the decrease of gap size
Acquisitiontime
40-50 minutes 35-40 minutes 30 minutes 25 minutes
Analysis 12 hours 8 hours 6.5 hours 5 hoursa ys stime
8 ou s 6 5 ou s 5 ou s
SM 0.30%±0.43%*
0.41%±0.35%*
0.59%±0.63%*
1.04%±0.77%*
SAT 0.26%±0.23%*
0.53%±0.45%*
0.59%±0.49%*
0.85%±0.86%*
VAT 3.14%±2.99%*
5.23%±6.01%*
8.14%±8.15%*
9.70%±8.58%*
IMAT 3.06%±2.41%*
4.75%±4.48%*
6.93%±7.30%*
9.55%±8.77%* Studies will require 2 % more subjects if every 5 cm protocol is used in 5 to 17
year old subjects and 8‐10 % more subjects in 5 to 10 year old prepubertal hild f i l t th ti t l i ichildren for equivalent power as the continuous every‐cm protocol in measuring VAT and IMAT.
‐ Shen W., et al., Int J Pediatric Obesity. 2010
Pearson correlations between VAT volume and Pearson correlations between VAT volume and
Correlation Coefficients
VAT areas for individual transverse slicesVAT areas for individual transverse slices
Correlation Coefficients
-10 cm -5 cm L4-L5 + 5 cm + 10 cm + 15 cm
Men Abdominal VAT 0.843 0.899 0.951 0.966 0.924
Abdominopelvic VAT 0.857 0.889 0.919 0.950 0.961 0.917
Women Abdominal VAT 0.908 0.929 0.972 0.961 0.822
Abdominopelvic VAT 0.856 0.930 0.936 0.964 0.951 0.821
‐ Shen W et al., Am J Clin Nutr 2004;80:271‐8
Group Glu Insulin TG HDL SBP DBPMen (n= 283)
Abdominal VAT .211 .505 .361 -.242 .312 .318Abdominopelvic VAT .217 .522 .356 -.255 .309 .316-5 cm .186 .389** .272** -.194 .244** .264
L4-L5 .193 .384** .276** -.162** .277 .266**+5 cm .187 .458** .354 -.235 .307 .306+10 cm .210 .520 .401* -.271* .306 .31310 cm .210 .520 .401 .271 .306 .313+15 cm .201 .522 .332 -.238 .295 .313
Women (n = 411)
Abdominal VAT .218 .569 .397 -.383 -.054 .104Abdominopelvic VAT 222 558 398 - 385 - 051 110Abdominopelvic VAT .222 .558 .398 .385 .051 .110-5 cm .192 .547 .386 -.386 -.072 .069L4-L5 .161** .569 .369 -.350** -.054 .139+5 cm 219 562 392 - 392 - 060 076+5 cm .219 .562 .392 -.392 -.060 .076 +10 cm .230 .514** .385 -.348** -.062 .083+15 cm .220 .467** .305** -.299** .013 .118
***, significantly higher (P < 0.05) than abdominal VAT; **, significantly lower (P < 0.05) than abdominal VAT.
‐Shen W., et al., Int J Obesity, 2007,31:763‐9
How CoreScan works
• Key Differentiator: Separates out SAT and VAT
1. Start with total fat iDXA distinguishes between fat, lean and bone through dual
energy measurementsenergy measurements Excellent image resolution helps enable accurate tissue
characterization
2. Calculate SAT Utilize iDXA to measure SAT layer thickness at sides of
android region CoreScan maps the total SAT layer around android region
3. Total fat – SAT = VATSAT inner wall
SAT outer wall
CoreScan: Reproducible
• Defined region of measurement ‐ Android
• Automated definition of region – based off• Automated definition of region – based off
bone landmarks on the body
• Consistent method of acquisition
CoreScan: ReproducibleAndroid Region
Standard region of interest for iDXA body compositionpBase of the ROI located at top of pelvisHeight (H) = 20% of distance from top of pelvis to base of skullpelvis to base of skull Android region contains high proportion of visceral fatRelatively little bone in android region
CoreScan: Accuracy
• Validated in clinical trial*
• High degree of correlation with CT
• On average difference between iDXA• On average difference between iDXA
and CT ~60g
• 95% of subjects were within a range of
16‐96cm3 difference between measuring
CT image of visceral fat from subject (42 year old male; BMI = 26.2 kg/m2)
I f D S ji K lwith CT and iDXA
Image courtesy of Dr. Sanjiv Kaul
* Kaul et al. Dual X‐Ray Absorptiometry for Quantification of Visceral Adipose Tissue. Advance online publication 26 January 2012.
CoreScan: AccuracyAnalysis on OHSU DataAnalysis on OHSU Data
OHSU CT vs. iDXA VAT VolumeAll Subjects
Gender r2 SEE
All Subjects
4000
5000
m³)
Excellent Correlation*
Gender r SEEFemales 0.960 190.5Males 0.953 221.6 2000
3000
AT
Volu
me
(cm
Combined 0.958 209.41000
CT
VA0
0 1000 2000 3000 4000 5000
iDXA VAT Volume (cm³)data ID
* Kaul et al. Dual X‐Ray Absorptiometry for Quantification of Visceral Adipose Tissue. Advance online publication 26 January 2012.
SUMMARYSUMMARY• Further studies are needed to determine• Further studies are needed to determine
whether VF estimation offers incremental value to other more standard measures ofvalue to other more standard measures of metabolic and cardiovascular risk in patientspatients.
VISCERAL ADIPOSE TISSUEVISCERAL ADIPOSE TISSUE
VISCERAL ADIPOSE TISSUE (VAT)VISCERAL ADIPOSE TISSUE (VAT)ROI DEFINITIONROI DEFINITION
Regions are automatically placed by the software•Outer region extends across entire abdomenOuter region extends across entire abdomen•Middle region extends across visceral cavity including abdominal wall•Inside region extends across visceral cavity just inside abdominal•Inside region extends across visceral cavity just inside abdominal wall
DXA VAT vs. VAT by CTy
i l i•Linear Relation•High Correlation•Low SEE vs. CT VAT by an Expert Reader
Micklesfield et al, Dual-Energy X-Ray Performs as Well as Clinical Computed Tomography for the Measurement of Visceral Fat, Advance online publication 12 January 2012
CONCLUSIONCONCLUSION• If these findings are supported by similar• If these findings are supported by similar
results in other populations, DXA-VAT may become a useful alternative to CTmay become a useful alternative to CT and MRI for the estimation of VAT in both clinical and research settingsclinical and research settings.
SUMMARY OF NEWBODY COMPOSITION FEATURES
The new VAT Application, reference values, andreporting enhancements should be helpful in thep g pevaluation of a wide variety of abnormalities involving fatmass, lean mass, and bone, for establishing entrycriteria into clinical trials and for other clinical researchcriteria into clinical trials, and for other clinical, research,and epidemiological uses.
Mark PunyanityaBi di l E iBiomedical EngineerDirector, Image Reading Center
Phone: (646) 736-2487Email: [email protected]: www imagereadingcenter comWeb: www.imagereadingcenter.com