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. 2022 Feb 11;12:2374. doi: 10.1038/s41598-022-06232-5

Healthy US population reference values for CT visceral fat measurements and the impact of IV contrast, HU range, and spinal levels

Brian A Derstine 1,, Sven A Holcombe 1, Brian E Ross 1, Nicholas C Wang 1, Stewart C Wang 1, Grace L Su 1
PMCID: PMC8837604  PMID: 35149727

Abstract

Measurements of visceral adipose tissue cross-sectional area and radiation attenuation from computed tomography (CT) scans provide useful information about risk and mortality. However, scan protocols vary, encompassing differing vertebra levels and utilizing differing phases of contrast enhancement. Furthermore, fat measurements have been extracted from CT using different Hounsfield Unit (HU) ranges. To our knowledge, there have been no large studies of healthy cohorts that reported reference values for visceral fat area and radiation attenuation at multiple vertebra levels, for different contrast phases, and using different fat HU ranges. Two-phase CT scans from 1,677 healthy, adult kidney donors (age 18–65) between 1999 and 2017, previously studied to determine healthy reference values for skeletal muscle measures, were utilized. Visceral adipose tissue cross-sectional area (VFA) and radiation attenuation (VFRA) measures were quantified using axial slices at T10 through L4 vertebra levels. T-tests were used to compare males and females, while paired t-tests were conducted to determine the effect (magnitude and direction) of (a) contrast enhancement and (b) different fat HU ranges on each fat measure at each vertebra level. We report the means, standard deviations, and effect sizes of contrast enhancement and fat HU range. Male and female VFA and VFRA were significantly different at all vertebra levels in both contrast and non-contrast scans. Peak VFA was observed at L4 in females and L2 in males, while peak VFRA was observed at L1 in both females and males. In general, non-contrast scans showed significantly greater VFA and VFRA compared to contrast scans. The average paired difference due to contrast ranged from 1.6 to − 8% (VFA) and 3.2 to − 3.0% (VFRA) of the non-contrast value. HU range showed much greater differences in VFA and VFRA than contrast. The average paired differences due to HU range ranged from − 5.3 to 22.2% (VFA) and − 5.9 to 13.6% (VFRA) in non-contrast scans, and − 4.4 to 20.2% (VFA) and − 4.1 to 12.6% (VFRA) in contrast scans. The − 190 to − 30 HU range showed the largest differences in both VFA (10.8% to 22.2%) and VFRA (7.6% to 13.6%) compared to the reference range (− 205 to − 51 HU). Incidentally, we found that differences in lung inflation result in very large differences in visceral fat measures, particularly in the thoracic region. We assessed the independent effects of contrast presence and fat HU ranges on visceral fat cross-sectional area and mean radiation attenuation, finding significant differences particularly between different fat HU ranges. These results demonstrate that CT measurements of visceral fat area and radiation attenuation are strongly dependent upon contrast presence, fat HU range, sex, breath cycle, and vertebra level of measurement. We quantified contrast and non-contrast reference values separately for males and females, using different fat HU ranges, for lumbar and thoracic CT visceral fat measures at multiple vertebra levels in a healthy adult US population.

Subject terms: Image processing, Obesity, Biomarkers

Introduction

The amount, distribution, and quality of fat in the core region of the body have significant clinical implications1,2. Visceral adiposity has been associated more accurately with cardiometabolic abnormalities than standard body measurements such as body mass index (BMI)3. Both the area and radiation attenuation of visceral fat have been associated with important clinical outcomes including mortality2. In the Framingham Heart Study, decreasing abdominal visceral fat attenuation was associated with worse cardiovascular outcome and greater cardiometabolic risk2, 4, while increased pericardial and intrathoracic fat was associated with decreased adiponectin and increased metabolic risk5. In patients with liver disease, higher visceral fat attenuation has been associated with higher mortality in patients with chronic liver disease and hepatocellular carcinoma68.

Visceral fat measurements can be inferred from methodologies such as anthropometry, dual energy X-ray absorptiometry (DXA), and bioelectrical impedance analysis (BIA). Higher-cost methods such as magnetic resonance (MR) and computed tomography (CT) can definitively delineate visceral from subcutaneous fat, however, MR is more expensive, slower, and less common than CT. Therefore, using existing CT scans acquired for clinical indications can be a convenient source of detailed body composition information without additional cost or risk of radiation. However, routine CTs have differential protocols, including differences in contrast administration, and different ranges of Hounsfield Unit (HU) values have been used to define fat pixels, both of which may affect fat measurements.

A few studies have investigated the effect of contrast phase on CT visceral fat measurement in clinical cohorts, generally reporting that VFA is higher in non-contrast compared contrast phase scans, though effect sizes varied widely and different fat HU ranges were used914.

The definition of visceral fat measured from CT depends upon the HU range used to define and extract fat pixels from imaging. Commonly used HU ranges include − 150 to − 50 HU911, − 195 to − 45 HU1517, − 190 to − 30 HU1821, and − 250 to − 50 HU22. We used − 205 to − 51 HU based on the adult fat threshold preset in Materialize Mimics software (version 17.0).

Studies recommend measuring visceral fat at the L4-L5 level to maximize correlation between axial fat areas and whole body fat volumes18, 19, 21, 23. However, the L4-L5 level is not available in all clinical CT scan protocols.

Previous work has reported healthy reference values for skeletal muscle measures using similarly large cohorts of kidney donor candidates2426.

To our knowledge, no study has reported sex-specific, contrast and non-contrast reference values for visceral fat area and radiation attenuation in a large, healthy, US adult cohort, utilizing different fat HU ranges. The aim of this study is to quantify the effect of contrast and fat HU range on fat measurements and report reference values. Understanding these effects on visceral fat area and density would allow us to better leverage the important information that is present in CT scans performed for clinical indications.

Results

Cohort summary

The majority of subjects (1093, 65.2%) eventually donated a kidney while the remainder (584, 34.8%) had no record of donation. Comparing females to males (F/M), there was no significant difference in donor proportion (65.0/65.5%, P = 0.816) or race (62.4/62.0% Caucasian, 9.6/8.3% African American, 3.9/3.9% Other, P = 0.794) (Table 1). Females were older (41.9/39.65yr, P < 0.001), shorter (1.64/1.78 m, P < 0.001) and weighed less (72.4/88.0 kg, P < 0.001), and had slightly lower BMI (26.9/27.6 kg/m2, 2 = 0.003) compared to males.

Table 1.

Cohort summary demographics split by sex.

Female Male P
n Mean SD n Mean SD
Age (yr) 1042 41.90 11.68 635 39.65 11.69 < 0.001
Height (m) 1042 1.64 0.06 635 1.78 0.07 < 0.001
Weight (kg) 1042 72.40 14.02 635 88.03 15.01 < 0.001
BMI (kg/m2) 1042 26.94 4.90 635 27.60 4.11 0.003
Underweight 11 1.1% 0 0.0%
Normal 394 37.8 168 26.5%
Overweight 360 34.5% 318 50.1%
Obese class I 207 19.9% 110 17.3%
Obese class II 58 5.6% 37 5.8%
Obese class III 12 1.2% 2 0.3%
Donor 0.816
No 365 35.0% 219 34.5%
Yes 677 65.0% 416 65.5%
Race 0.794
African American 100 9.6% 53 8.3%
Caucasian 650 62.4% 394 62.0%
Not Reported 251 24.1% 163 25.7%
Other 41 3.9% 25 3.9%

Donor and race proportion P-value from Chi-squared test, all others from t-test comparing Females to Males.

Reference values

Sex-specific mean and standard deviation (s.d.) healthy, adult reference values for VFA and VFRA at T10–L4 vertebra levels are reported separately for contrast and non-contrast phase for the reference − 205 to − 50 HU range (Table 2). Peak VFA (contrast/noncontrast) was observed at L4 in females (79.8/84.9 cm2) and L2 in males (141.4/148 cm2) while trough VFA was observed at T11 in females (51.6/53.9 cm2) and T10 in males (98.2/97.1 cm2). Peak VFRA was observed at L1 in both females (− 92.2/− 90.8HU) and males (− 95.5/− 94.3HU) while trough VFRA was observed at T10 in both females (− 97.0/− 98.1HU) and males (− 99.9/− 101.0HU).

Table 2.

Male and Female mean and standard deviation for T10-L4 VFA and VFRA split by contrast status, vertebra level.

Female Male
n Mean SD n Mean SD
VFA (cm2) Contrast T10 283 52.1 28.7 165 98.2 55.7
T11 814 51.6 35.5 494 107.6 68.0
T12 1024 58.6 44.1 625 123.9 79.6
L1 1040 69.6 49.8 635 140.3 85.6
L2 1036 74.3 50.5 633 141.4 85.3
L3 1025 77.0 50.9 627 131.9 78.7
L4 966 79.8 45.6 580 116.3 63.4
Non-contrast T10 283 55.6 28.8 165 97.1 52.6
T11 814 53.9 35.5 494 109.6 69.0
T12 1024 60.7 45.7 625 127.6 82.3
L1 1040 71.7 52.1 635 145.0 89.1
L2 1036 77.9 53.7 633 148.0 89.7
L3 1025 81.9 53.7 627 141.1 82.5
L4 966 84.9 48.3 580 123.5 66.3
VFRA (HU) Contrast T10 283 − 97.0 5.2 165 − 99.9 4.8
T11 814 − 94.7 5.2 494 − 98.3 5.4
T12 1024 − 92.4 5.9 625 − 96.2 5.8
L1 1040 − 92.2 6.4 635 − 95.5 6.3
L2 1036 − 93.4 6.4 633 − 96.6 6.7
L3 1025 − 94.8 6.1 627 − 97.8 6.4
L4 966 − 95.3 5.4 580 − 96.7 5.9
Non-contrast T10 283 − 98.1 5.2 165 − 101.0 4.5
T11 814 − 96.0 5.9 494 − 98.8 5.2
T12 1024 − 92.8 5.9 625 − 95.9 5.4
L1 1040 − 90.8 6.2 635 − 94.3 6.1
L2 1036 − 91.9 6.1 633 − 95.4 6.4
L3 1025 − 93.5 5.8 627 − 96.5 6.4
L4 966 − 93.8 5.1 580 − 95.2 5.8

All measures use the − 205 to − 51 HU reference range.

Contrast versus non-contrast

VFA was greater in non-contrast versus contrast scans for all mean paired differences, except for those at T10 in males. In males at T10 the differences were not significantly different for all HU ranges. Across all vertebra levels and all HU ranges, mean paired differences ranged from − 3.0 to − 8.1% in women and 1.6 to − 8.0% in men, expressed as percent of the mean non-contrast VFA (Table 3).

Table 3.

Mean VFA paired differences (contrast–non-contrast) raw (μd) and as percent of overall mean non-contrast value (μnc).

Female Male
HU range n μnc μd μd/μnc (%) P n μnc μd μd/μnc (%) P
VFA (cm2) T10 − 150 to − 50 HU 283 52.7 − 2.8 − 5.6 < 0.001 165 92.8 1.5 1.6 0.300
− 190 to − 30 HU 283 67.5 − 4.9 − 7.8 < 0.001 165 113.6 − 0.8 − 0.7 0.576
− 195 to − 45 HU 283 58.6 − 3.7 − 6.7 < 0.001 165 101.3 0.8 0.8 0.563
− 205 to − 51 HU 283 55.6 − 3.5 − 6.7 < 0.001 165 97.1 1.1 1.1 0.431
− 250 to − 50 HU 283 58.4 − 4.4 − 8.1 < 0.001 165 100.6 0.0 − 0.0 0.976
T11 − 150 to − 50 HU 814 51.9 − 2.0 − 4.0 < 0.001 494 106.3 − 2.2 − 2.1 0.004
− 190 to − 30 HU 814 65.8 − 4.0 − 6.4 < 0.001 494 126.9 − 4.3 − 3.5 < 0.001
− 195 to − 45 HU 814 57.0 − 2.6 − 4.8 < 0.001 494 114.2 − 2.4 − 2.2 0.002
− 205 to − 51 HU 814 53.9 − 2.4 − 4.6 < 0.001 494 109.6 − 2.0 − 1.9 0.008
− 250 to − 50 HU 814 56.0 − 3.0 − 5.8 < 0.001 494 112.4 − 2.9 − 2.6 < 0.001
T12 − 150 to − 50 HU 1024 59.5 − 2.3 − 4.0 < 0.001 625 125.4 − 4.7 − 3.9 < 0.001
− 190 to − 30 HU 1024 74.2 − 4.2 − 6.0 < 0.001 625 147.3 − 6.5 − 4.6 < 0.001
− 195 to − 45 HU 1024 64.3 − 2.5 − 4.1 < 0.001 625 133.0 − 4.3 − 3.3 < 0.001
− 205 to − 51 HU 1024 60.7 − 2.2 − 3.7 < 0.001 625 127.6 − 3.8 − 3.0 < 0.001
− 250 to − 50 HU 1024 62.3 − 2.6 − 4.3 < 0.001 625 129.9 − 4.3 − 3.4 < 0.001
L1 − 150 to − 50 HU 1040 70.6 − 2.5 − 3.7 < 0.001 635 143.1 − 5.8 − 4.2 < 0.001
− 190 to − 30 HU 1040 87.3 − 4.7 − 5.6 < 0.001 635 166.5 − 7.9 − 5.0 < 0.001
− 195 to − 45 HU 1040 75.9 − 2.6 − 3.6 < 0.001 635 151.0 − 5.4 − 3.7 < 0.001
− 205 to − 51 HU 1040 71.7 − 2.1 − 3.0 < 0.001 635 145.0 − 4.7 − 3.3 < 0.001
− 250 to − 50 HU 1040 73.2 − 2.4 − 3.4 < 0.001 635 147.2 − 5.1 − 3.6 < 0.001
L2 − 150 to − 50 HU 1036 76.6 − 4.1 − 5.7 < 0.001 633 145.9 − 7.8 − 5.6 < 0.001
− 190 to − 30 HU 1036 93.2 − 6.1 − 7.0 < 0.001 633 167.4 − 9.5 − 6.0 < 0.001
− 195 to − 45 HU 1036 82.1 − 4.2 − 5.3 < 0.001 633 153.4 − 7.2 − 4.9 < 0.001
− 205 to − 51 HU 1036 77.9 − 3.6 − 4.8 < 0.001 633 148.0 − 6.6 − 4.6 < 0.001
− 250 to − 50 HU 1036 79.6 − 3.9 − 5.2 < 0.001 633 150.0 − 7.0 − 4.9 < 0.001
L3 − 150 to − 50 HU 1025 80.5 − 5.5 − 7.3 < 0.001 627 139.2 − 10.3 − 8.0 < 0.001
− 190 to − 30 HU 1025 95.9 − 7.0 − 7.9 < 0.001 627 157.8 − 11.7 − 8.0 < 0.001
− 195 to − 45 HU 1025 85.7 − 5.4 − 6.7 < 0.001 627 145.7 − 9.8 − 7.2 < 0.001
− 205 to − 51 HU 1025 81.9 − 4.9 − 6.4 < 0.001 627 141.1 − 9.2 − 7.0 < 0.001
− 250 to − 50 HU 1025 83.5 − 5.2 − 6.7 < 0.001 627 142.9 − 9.6 − 7.2 < 0.001
L4 − 150 to − 50 HU 966 83.5 − 5.7 − 7.3 < 0.001 580 122.0 − 8.0 − 7.0 < 0.001
− 190 to − 30 HU 966 100.0 − 7.4 − 7.9 < 0.001 580 140.8 − 9.8 − 7.5 < 0.001
− 195 to − 45 HU 966 89.0 − 5.6 − 6.7 < 0.001 580 128.3 − 7.8 − 6.5 < 0.001
− 205 to − 51 HU 966 84.9 − 5.1 − 6.4 < 0.001 580 123.5 − 7.2 − 6.2 < 0.001
− 250 to − 50 HU 966 86.5 − 5.4 − 6.7 < 0.001 580 125.3 − 7.6 − 6.4 < 0.001

P-values from paired t-test for T10–L4 with null hypothesis μd=0. Negative values indicate contrast value lower than non− contrast value, on average. P-values <0.01 in bold.

The − 190 to − 30 HU range showed the largest paired differences in VFA between contrast and non-contrast scans, followed by − 150 to − 50 HU, − 250 to − 50 HU, − 195 to − 45 HU, and finally − 205 to − 51 HU. The largest differences between contrast and non-contrast were found at L3, L4, and T10 in females and at L3 and L4 in males, across all HU ranges.

VFRA was greater in non-contrast versus contrast scans for all mean paired differences between L1 and L4 in males and females, however, for T10–T12 the results differed by HU range and sex (Table 4).

Table 4.

Mean VFRA paired differences (contrast–non-contrast) raw (μd) and as percent of absolute mean non-contrast value (μd/|μnc|).

Female Male
HU range n μnc μd μd/|μnc| (%) P n μnc μd μd/|μnc| (%) P
VFRA (HU) T10 − 150 to − 50 HU 283 − 90.7 − 0.1 − 0.1 0.551 165 − 94.7 − 0.1 − 0.1 0.600
− 190 to − 30 HU 283 − 84.8 0.0 − 0.0 0.946 165 − 89.1 − 0.7 − 0.7 0.026
− 195 to − 45 HU 283 − 93.6 0.6 0.7 0.014 165 − 97.1 0.4 0.4 0.236
− 205 to − 51 HU 283 − 98.1 1.1 1.1 < 0.001 165 − 101.0 1.0 1.0 0.004
− 250 to − 50 HU 283 − 103.8 2.8 2.8 < 0.001 165 − 105.5 2.8 2.7 < 0.001
T11 − 150 to − 50 HU 814 − 89.7 − 0.1 − 0.1 0.260 494 − 93.8 − 0.2 − 0.2 0.107
− 190 to − 30 HU 814 − 82.9 − 0.2 − 0.2 0.289 494 − 88.0 − 0.8 − 0.9 < 0.001
− 195 to − 45 HU 814 − 91.7 0.7 0.8 < 0.001 494 − 95.3 0.0 − 0.0 0.886
− 205 to − 51 HU 814 − 96.0 1.3 1.4 < 0.001 494 − 98.8 0.4 0.4 0.032
− 250 to − 50 HU 814 − 100.8 3.1 3.2 < 0.001 494 − 102.2 1.7 1.7 < 0.001
T12 − 150 to − 50 HU 1024 − 88.2 − 0.5 − 0.5 < 0.001 625 − 92.3 − 0.4 − 0.5 < 0.001
− 190 to − 30 HU 1024 − 80.3 − 1.1 − 1.3 < 0.001 625 − 85.9 − 1.3 − 1.5 < 0.001
− 195 to − 45 HU 1024 − 88.8 − 0.1 − 0.1 0.299 625 − 92.8 − 0.7 − 0.7 < 0.001
− 205 to − 51 HU 1024 − 92.8 0.3 0.4 0.018 625 − 95.9 − 0.4 − 0.4 0.016
− 250 to − 50 HU 1024 − 95.8 1.6 1.7 < 0.001 625 − 98.0 0.4 0.4 0.056
L1 − 150 to − 50 HU 1040 − 87.3 − 1.4 − 1.6 < 0.001 635 − 91.7 − 0.9 − 1.0 < 0.001
− 190 to − 30 HU 1040 − 79.2 − 2.4 − 3.0 < 0.001 635 − 85.2 − 1.9 − 2.2 < 0.001
− 195 to − 45 HU 1040 − 87.2 − 1.7 − 1.9 < 0.001 635 − 91.6 − 1.4 − 1.5 < 0.001
− 205 to − 51 HU 1040 − 90.8 − 1.4 − 1.5 < 0.001 635 − 94.3 − 1.2 − 1.2 < 0.001
− 250 to − 50 HU 1040 − 92.8 − 0.7 − 0.7 < 0.001 635 − 95.7 − 0.7 − 0.8 < 0.001
L2 − 150 to − 50 HU 1036 − 88.4 − 1.5 − 1.6 < 0.001 633 − 92.8 − 0.8 − 0.9 < 0.001
− 190 to − 30 HU 1036 − 80.9 − 2.4 − 2.9 < 0.001 633 − 86.9 − 1.9 − 2.1 < 0.001
− 195 to − 45 HU 1036 − 88.5 − 1.8 − 1.9 < 0.001 633 − 92.8 − 1.3 − 1.4 < 0.001
− 205 to − 51 HU 1036 − 91.9 − 1.5 − 1.6 < 0.001 633 − 95.4 − 1.2 − 1.2 < 0.001
− 250 to − 50 HU 1036 − 93.9 − 0.9 − 1.0 < 0.001 633 − 96.7 − 0.8 − 0.8 < 0.001
L3 − 150 to − 50 HU 1025 − 90.1 − 1.2 − 1.3 < 0.001 627 − 94.1 − 0.9 − 0.9 < 0.001
− 190 to − 30 HU 1025 − 83.3 − 1.9 − 2.3 < 0.001 627 − 88.6 − 1.8 − 1.9 < 0.001
− 195 to − 45 HU 1025 − 90.4 − 1.5 − 1.6 < 0.001 627 − 94.1 − 1.4 − 1.5 < 0.001
− 205 to − 51 HU 1025 − 93.5 − 1.3 − 1.3 < 0.001 627 − 96.5 − 1.3 − 1.3 < 0.001
− 250 to − 50 HU 1025 − 95.5 − 0.7 − 0.8 < 0.001 627 − 97.7 − 1.0 − 1.0 < 0.001
L4 − 150 to − 50 HU 966 − 90.7 − 1.3 − 1.4 < 0.001 580 − 92.9 − 1.3 − 1.4 < 0.001
− 190 to − 30 HU 966 − 83.8 − 2.2 − 2.5 < 0.001 580 − 86.9 − 2.1 − 2.4 < 0.001
− 195 to − 45 HU 966 − 90.7 − 1.7 − 1.9 < 0.001 580 − 92.7 − 1.7 − 1.8 < 0.001
− 205 to − 51 HU 966 − 93.8 − 1.5 − 1.6 < 0.001 580 − 95.2 − 1.6 − 1.6 < 0.001
− 250 to − 50 HU 966 − 95.4 − 1.1 − 1.1 < 0.001 580 − 96.2 − 1.2 − 1.2 < 0.001

P-values from paired t-test for T10–L4 with null hypothesis μd=0. Negative values indicate contrast value lower than non-contrast value, on average. P-values <0.01 in bold.

For both VFA and VFRA, Bland-Altman plots of agreement demonstrated proportional bias at all vertebra levels and in all HU ranges; as the mean value increased there was a trend toward greater differences and the variance of the differences increased (Figs. 1 and 2). For VFA, the trend was positive at T10, neutral/negative at T11, and negative for T12 through L4. For VFRA, trends varied by vertebra level and HU range. Comparing HU ranges, the variance of VFA was fairly consistent across ranges, however, the variance of VFRA increased as the HU range increased.

Figure 1.

Figure 1

Bland-Altman plot of VFA (cm2) by vertebra number, and HU range showing each observation (black point), mean (blue line) and 1.96 standard deviations (red lines) of the paired differences (contrast-non-contrast), linear best-fit regression (yellow line).

Figure 2.

Figure 2

Bland-Altman plot of VFRA (HU) by vertebra number, and HU range showing each observation (black point), mean (blue line) and 1.96 standard deviations (red lines) of the paired differences (contrast-non-contrast), linear best-fit regression (yellow line).

Fat HU range

Compared to the − 205 to − 50 HU reference range, VFA was lower for the − 150 to − 50 HU range, and higher for all other ranges at all vertebra levels in both sexes and for both contrast and non-contrast scans (Tables 5 and 6). The largest differences were observed with the − 190 to − 30 HU range, which ranged from 15.4% (L3) to 20.2% (T10) in females and from 10.8% (L3) to 14.8% (T10) in males for contrast scans (Table 5), and from 17.1% (L3) to 22.2% (T12) in females and from 11.8% (L3) to 17.0% (T10) in males for non-contrast scans (Table 6). The − 195 to − 45 HU range showed the second largest (positive) differences, followed by the − 150 to − 50 HU (negative), and finally the − 250 to − 50 HU range (positive) in both contrast and non-contrast scans.

Table 5.

Contrast scan mean VFA paired differences (comparison range-reference range) raw (μd) and as percent of overall mean reference range value (μd/μr).

Female Male
HU range n μr μd μd.μr P n μr μd μd.μr P
VFA (cm2) T10 − 150 to − 50 HU 283 52.1 − 2.3 − 4.4 0.000 165 98.2 − 3.9 − 4.0 0.000
− 190 to − 30 HU 283 52.1 10.5 20.2 0.000 165 98.2 14.5 14.8 0.000
− 195 to − 45 HU 283 52.1 2.8 5.3 0.000 165 98.2 3.8 3.9 0.000
− 250 to − 50 HU 283 52.1 1.8 3.5 0.000 165 98.2 2.3 2.4 0.000
T11 − 150 to − 50 HU 814 51.6 − 1.6 − 3.2 0.000 494 107.6 − 3.5 − 3.2 0.000
− 190 to − 30 HU 814 51.6 10.3 19.9 0.000 494 107.6 15.1 14.0 0.000
− 195 to − 45 HU 814 51.6 2.8 5.4 0.000 494 107.6 4.2 3.9 0.000
− 250 to − 50 HU 814 51.6 1.4 2.7 0.000 494 107.6 2.0 1.8 0.000
T12 − 150 to − 50 HU 1024 58.6 − 1.3 − 2.3 0.000 625 123.9 − 3.1 − 2.5 0.000
− 190 to − 30 HU 1024 58.6 11.5 19.6 0.000 625 123.9 16.9 13.6 0.000
− 195 to − 45 HU 1024 58.6 3.2 5.5 0.000 625 123.9 4.8 3.9 0.000
− 250 to − 50 HU 1024 58.6 1.2 2.0 0.000 625 123.9 1.8 1.4 0.000
L1 − 150 to − 50 HU 1040 69.6 − 1.5 − 2.2 0.000 635 140.3 − 3.0 − 2.1 0.000
− 190 to − 30 HU 1040 69.6 13.0 18.7 0.000 635 140.3 18.3 13.0 0.000
− 195 to − 45 HU 1040 69.6 3.7 5.3 0.000 635 140.3 5.3 3.8 0.000
− 250 to − 50 HU 1040 69.6 1.3 1.8 0.000 635 140.3 1.8 1.3 0.000
L2 − 150 to − 50 HU 1036 74.3 − 1.8 − 2.4 0.000 633 141.4 − 3.2 − 2.3 0.000
− 190 to − 30 HU 1036 74.3 12.8 17.2 0.000 633 141.4 16.5 11.7 0.000
− 195 to − 45 HU 1036 74.3 3.6 4.8 0.000 633 141.4 4.8 3.4 0.000
− 250 to − 50 HU 1036 74.3 1.3 1.8 0.000 633 141.4 1.7 1.2 0.000
L3 − 150 to − 50 HU 1025 77.0 − 2.0 − 2.6 0.000 627 131.9 − 3.0 − 2.3 0.000
− 190 to − 30 HU 1025 77.0 11.9 15.4 0.000 627 131.9 14.2 10.8 0.000
− 195 to − 45 HU 1025 77.0 3.3 4.3 0.000 627 131.9 4.1 3.1 0.000
− 250 to − 50 HU 1025 77.0 1.3 1.7 0.000 627 131.9 1.5 1.1 0.000
L4 − 150 to − 50 HU 966 79.8 − 2.0 − 2.5 0.000 580 116.3 − 2.2 − 1.9 0.000
− 190 to − 30 HU 966 79.8 12.8 16.0 0.000 580 116.3 14.7 12.6 0.000
− 195 to − 45 HU 966 79.8 3.6 4.5 0.000 580 116.3 4.2 3.6 0.000
− 250 to − 50 HU 966 79.8 1.3 1.7 0.000 580 116.3 1.4 1.2 0.000

P-values from paired t-test for T10-L4 with null hypothesis μd=0. Negative values indicate comparison range value lower than reference range value, on average. Reference range is − 205 to − 51 HU. P-values < 0.01 in bold.

Table 6.

Non-contrast scan mean VFA paired differences (comparison range–reference range) raw (μd) and as percent of overall mean reference range value (μr).

HU range Female Male
n μr μd μd.μr P n μd.μr μd μd.μr P
VFA (cm2) T10 − 150 to − 50 HU 283 55.6 − 3.0 − 5.3 0.000 165 97.1 − 4.3 − 4.4 0.000
− 190 to − 30 HU 283 55.6 11.9 21.4 0.000 165 97.1 16.5 17.0 0.000
− 195 to − 45 HU 283 55.6 2.9 5.3 0.000 165 97.1 4.1 4.2 0.000
− 250 to − 50 HU 283 55.6 2.7 4.9 0.000 165 97.1 3.5 3.6 0.000
T11 − 150 to − 50 HU 814 53.9 − 2.0 − 3.7 0.000 494 109.6 − 3.3 − 3.0 0.000
− 190 to − 30 HU 814 53.9 11.9 22.0 0.000 494 109.6 17.3 15.8 0.000
− 195 to − 45 HU 814 53.9 3.0 5.6 0.000 494 109.6 4.5 4.1 0.000
− 250 to − 50 HU 814 53.9 2.1 3.8 0.000 494 109.6 2.8 2.6 0.000
T12 − 150 to − 50 HU 1024 60.7 − 1.2 − 2.0 0.000 625 127.6 − 2.2 − 1.8 0.000
− 190 to − 30 HU 1024 60.7 13.5 22.2 0.000 625 127.6 19.7 15.4 0.000
− 195 to − 45 HU 1024 60.7 3.6 5.9 0.000 625 127.6 5.4 4.2 0.000
− 250 to − 50 HU 1024 60.7 1.6 2.6 0.000 625 127.6 2.3 1.8 0.000
L1 − 150 to − 50 HU 1040 71.7 − 1.1 − 1.5 0.000 635 145.0 − 1.9 − 1.3 0.000
− 190 to − 30 HU 1040 71.7 15.6 21.8 0.000 635 145.0 21.5 14.8 0.000
− 195 to − 45 HU 1040 71.7 4.2 5.9 0.000 635 145.0 6.0 4.1 0.000
− 250 to − 50 HU 1040 71.7 1.6 2.2 0.000 635 145.0 2.2 1.5 0.000
L2 − 150 to − 50 HU 1036 77.9 − 1.3 − 1.7 0.000 633 148.0 − 2.1 − 1.4 0.000
− 190 to − 30 HU 1036 77.9 15.3 19.6 0.000 633 148.0 19.4 13.1 0.000
− 195 to − 45 HU 1036 77.9 4.2 5.3 0.000 633 148.0 5.4 3.7 0.000
− 250 to − 50 HU 1036 77.9 1.7 2.1 0.000 633 148.0 2.1 1.4 0.000
L3 − 150 to − 50 HU 1025 81.9 − 1.4 − 1.7 0.000 627 141.1 − 1.9 − 1.3 0.000
− 190 to − 30 HU 1025 81.9 14.0 17.1 0.000 627 141.1 16.7 11.8 0.000
− 195 to − 45 HU 1025 81.9 3.8 4.7 0.000 627 141.1 4.7 3.3 0.000
− 250 to − 50 HU 1025 81.9 1.6 2.0 0.000 627 141.1 1.8 1.3 0.000
L4 − 150 to − 50 HU 966 84.9 − 1.4 − 1.6 0.000 580 123.5 − 1.5 − 1.2 0.000
− 190 to − 30 HU 966 84.9 15.1 17.8 0.000 580 123.5 17.3 14.0 0.000
− 195 to − 45 HU 966 84.9 4.2 4.9 0.000 580 123.5 4.8 3.9 0.000
− 250 to − 50 HU 966 84.9 1.6 1.9 0.000 580 123.5 1.8 1.4 0.000

P-values from paired t-test for T10–L4 with null hypothesis μd=0. Negative values indicate comparison range value lower than reference range value, on average. Reference range is − 205 to − 51 HU. P-values < 0.01 in bold.

Compared to the − 205 to − 50 HU reference range, VFRA was lower for the − 250 to − 50 HU range, and higher for all other ranges at all vertebra levels in both sexes and for both contrast and non-contrast scans (Tables 7 and 8). The largest differences were observed with the − 190 to − 30 HU range, which ranged from 9.8% (L4) to 12.6% (T10) in females and from 7.6% (L3) to 10.1% (T10) in males for contrast scans (Table 7), and from 10.6% (L4) to 13.6% (T10, T11) in females and from 8.2% (L3) to 11.7% (T10) in males for non-contrast scans (Table 8). The − 150 to − 50 HU range showed the second largest (positive) differences, followed by the − 195 to − 45 HU range (positive), and finally the − 250 to − 50 HU range (negative) in both contrast and non-contrast scans.

Table 7.

Contrast scan mean VFRA paired differences (comparison range–reference range) raw (μd) and as percent of absolute overall mean reference range value (μd/|μr|).

Female Male
HU range n μr μd μd/|μr| (%) P n μr μd μd/|μr| (%) P

VFRA

(HU)

T10 − 150 to − 50 HU 283 − 97.0 6.2 6.3 0.000 165 − 99.9 5.2 5.2 0.000
− 190 to − 30 HU 283 − 97.0 12.2 12.6 0.000 165 − 99.9 10.1 10.1 0.000
− 195 to − 45 HU 283 − 97.0 4.0 4.1 0.000 165 − 99.9 3.2 3.2 0.000
− 250 to − 50 HU 283 − 97.0 − 4.0 − 4.1 0.000 165 − 99.9 − 2.8 − 2.8 0.000
T11 − 150 to − 50 HU 814 − 94.7 5.0 5.2 0.000 494 − 98.3 4.4 4.5 0.000
− 190 to − 30 HU 814 − 94.7 11.6 12.3 0.000 494 − 98.3 9.6 9.7 0.000
− 195 to − 45 HU 814 − 94.7 3.7 3.9 0.000 494 − 98.3 3.0 3.0 0.000
− 250 to − 50 HU 814 − 94.7 − 3.0 − 3.1 0.000 494 − 98.3 − 2.1 − 2.1 0.000
T12 − 150 to − 50 HU 1024 − 92.4 3.8 4.1 0.000 625 − 96.2 3.5 3.7 0.000
− 190 to − 30 HU 1024 − 92.4 11.1 12.0 0.000 625 − 96.2 9.0 9.4 0.000
− 195 to − 45 HU 1024 − 92.4 3.5 3.7 0.000 625 − 96.2 2.8 2.9 0.000
− 250 to − 50 HU 1024 − 92.4 − 1.8 − 2.0 0.000 625 − 96.2 − 1.3 − 1.3 0.000
L1 − 150 to − 50 HU 1040 − 92.2 3.4 3.7 0.000 635 − 95.5 3.0 3.1 0.000
− 190 to − 30 HU 1040 − 92.2 10.5 11.4 0.000 635 − 95.5 8.4 8.8 0.000
− 195 to − 45 HU 1040 − 92.2 3.3 3.6 0.000 635 − 95.5 2.6 2.7 0.000
− 250 to − 50 HU 1040 − 92.2 − 1.4 − 1.5 0.000 635 − 95.5 − 0.9 − 0.9 0.000
L2 − 150 to − 50 HU 1036 − 93.4 3.5 3.7 0.000 633 − 96.6 2.9 3.0 0.000
− 190 to − 30 HU 1036 − 93.4 10.1 10.8 0.000 633 − 96.6 7.9 8.2 0.000
− 195 to − 45 HU 1036 − 93.4 3.1 3.4 0.000 633 − 96.6 2.4 2.5 0.000
− 250 to − 50 HU 1036 − 93.4 − 1.4 − 1.5 0.000 633 − 96.6 − 0.9 − 0.9 0.000
L3 − 150 to − 50 HU 1025 − 94.8 3.5 3.7 0.000 627 − 97.8 2.8 2.9 0.000
− 190 to − 30 HU 1025 − 94.8 9.5 10.0 0.000 627 − 97.8 7.5 7.6 0.000
− 195 to − 45 HU 1025 − 94.8 3.0 3.1 0.000 627 − 97.8 2.3 2.3 0.000
− 250 to − 50 HU 1025 − 94.8 − 1.4 − 1.5 0.000 627 − 97.8 − 0.8 − 0.9 0.000
L4 − 150 to − 50 HU 966 − 95.3 3.3 3.4 0.000 580 − 96.7 2.5 2.6 0.000
− 190 to − 30 HU 966 − 95.3 9.3 9.8 0.000 580 − 96.7 7.7 8.0 0.000
− 195 to − 45 HU 966 − 95.3 2.9 3.0 0.000 580 − 96.7 2.3 2.4 0.000
− 250 to − 50 HU 966 − 95.3 − 1.2 − 1.2 0.000 580 − 96.7 − 0.7 − 0.7 0.000

P− values from paired t-test for T10–L4 with null hypothesis μd=0. Negative values indicate comparison range value lower than reference range value, on average. Reference range is − 205 to − 51 HU. P-values < 0.01 in bold.

Table 8.

Non-contrast scan mean VFRA paired differences (comparison range–reference range) raw (μd) and as percent of absolute overall mean reference range value (μd/|μr|).

Female Male
HU range n μr μd μd/|μr| (%) P n μr μd μd/|μr| (%) P

VFRA

(HU)

T10 − 150 to − 50 HU 283 − 98.1 7.4 7.5 0.000 165 − 101.0 6.3 6.3 0.000
− 190 to − 30 HU 283 − 98.1 13.3 13.6 0.000 165 − 101.0 11.8 11.7 0.000
− 195 to − 45 HU 283 − 98.1 4.5 4.5 0.000 165 − 101.0 3.9 3.8 0.000
− 250 to − 50 HU 283 − 98.1 − 5.7 − 5.9 0.000 165 − 101.0 − 4.6 − 4.5 0.000
T11 − 150 to − 50 HU 814 − 96.0 6.4 6.6 0.000 494 − 98.8 5.0 5.0 0.000
− 190 to − 30 HU 814 − 96.0 13.1 13.6 0.000 494 − 98.8 10.7 10.9 0.000
− 195 to − 45 HU 814 − 96.0 4.3 4.5 0.000 494 − 98.8 3.4 3.5 0.000
− 250 to − 50 HU 814 − 96.0 − 4.8 − 5.0 0.000 494 − 98.8 − 3.4 − 3.5 0.000
T12 − 150 to − 50 HU 1024 − 92.8 4.6 5.0 0.000 625 − 95.9 3.6 3.7 0.000
− 190 to − 30 HU 1024 − 92.8 12.5 13.4 0.000 625 − 95.9 9.9 10.4 0.000
− 195 to − 45 HU 1024 − 92.8 3.9 4.2 0.000 625 − 95.9 3.1 3.2 0.000
− 250 to − 50 HU 1024 − 92.8 − 3.1 − 3.3 0.000 625 − 95.9 − 2.1 − 2.2 0.000
L1 − 150 to − 50 HU 1040 − 90.8 3.5 3.8 0.000 635 − 94.3 2.7 2.8 0.000
− 190 to − 30 HU 1040 − 90.8 11.6 12.8 0.000 635 − 94.3 9.1 9.7 0.000
− 195 to − 45 HU 1040 − 90.8 3.6 3.9 0.000 635 − 94.3 2.8 3.0 0.000
− 250 to − 50 HU 1040 − 90.8 − 2.0 − 2.2 0.000 635 − 94.3 − 1.4 − 1.4 0.000
L2 − 150 to − 50 HU 1036 − 91.9 3.5 3.8 0.000 633 − 95.4 2.6 2.7 0.000
− 190 to − 30 HU 1036 − 91.9 11.0 12.0 0.000 633 − 95.4 8.6 9.0 0.000
− 195 to − 45 HU 1036 − 91.9 3.4 3.7 0.000 633 − 95.4 2.6 2.7 0.000
− 250 to − 50 HU 1036 − 91.9 − 2.0 − 2.1 0.000 633 − 95.4 − 1.3 − 1.3 0.000
L3 − 150 to − 50 HU 1025 − 93.5 3.4 3.6 0.000 627 − 96.5 2.4 2.5 0.000
− 190 to − 30 HU 1025 − 93.5 10.2 10.9 0.000 627 − 96.5 7.9 8.2 0.000
− 195 to − 45 HU 1025 − 93.5 3.2 3.4 0.000 627 − 96.5 2.4 2.5 0.000
− 250 to − 50 HU 1025 − 93.5 − 1.9 − 2.1 0.000 627 − 96.5 − 1.2 − 1.2 0.000
L4 − 150 to − 50 HU 966 − 93.8 3.1 3.3 0.000 580 − 95.2 2.3 2.4 0.000
− 190 to − 30 HU 966 − 93.8 10.0 10.6 0.000 580 − 95.2 8.3 8.7 0.000
− 195 to − 45 HU 966 − 93.8 3.1 3.3 0.000 580 − 95.2 2.5 2.6 0.000
− 250 to − 50 HU 966 − 93.8 − 1.6 − 1.7 0.000 580 − 95.2 − 1.1 − 1.1 0.000

P-values from paired t-test for T10–L4 with null hypothesis μd=0. Negative values indicate comparison range value lower than reference range value, on average. Reference range is − 205 to − 51 HU. P-values < 0.01 in bold.

Outlier investigation

Individuals with paired differences greater than 4 s.d. above/below the mean difference were identified and investigated individually as possible outliers. These pairs displayed distinct differences in lung inflation, resulting in vertical shift of organ locations and large differences in axial visceral non-muscular contents between the two phases of scan. Differences were more visually apparent at the thoracic levels where lung air was directly observable, and less apparent in the lumbar region where differences were due to more subtle shifts in major organs including liver, kidney, spleen, and bowel (Fig. 3).

Figure 3.

Figure 3

Example of healthy 36 y/o male non-contrast (left) and contrast (right) CT axial slices, showing T11–L5 visceral fat area (yellow-shaded region), subcutaneous fat area (purple shaded region), outer abdominal fascia boundary (yellow line), and skin boundary (purple line). Images demonstrate different lung inflation between contrast and non-contrast scans and resulting shift in organ and fat pixels.

Discussion

Both the presence of intravenous contrast and the particular HU range used to define visceral fat pixels affected measurements of visceral fat cross-sectional area and mean radiation attenuation on CT.

Analysis of contrast versus non-contrast scans showed that VFA was higher in non-contrast scans compared to contrast scans, whereas VFRA was lower in contrast scans compared to non-contrast scans. The difference in HU was in general quite close to zero, however, Bland-Altman plots demonstrated proportional bias-differences increasing with the mean value-particularly in VFA measurements. The differences due to contrast increased as the area or density of visceral fat increased. Thus, patients with greater visceral fat or greater fat density had greater measurement differences between scans with and without contrast. Therefore, to fairly compare fat measurements for patients with low and high visceral fat, contrast and non-contrast scans should not be mixed within the same study.

Additionally, measurement differences due to HU range were much greater than those due to contrast. In particular, the HU range of − 190 to − 30 showed the greatest differences in both VFA and VFRA. This range was the only range that includes HU values greater than − 45 HU, suggesting that the large difference was primarily due to pixels between − 45 and − 30 HU being counted as fat tissue. Hence, we conclude that visceral fat measurements derived using different fat HU ranges cannot be directly compared.

Outlier investigation showed that reliability of both VFA and VFRA measurements are strongly dependent upon breath cycle; individuals whose paired scans demonstrated large differences in lung inflation also demonstrated large differences in VFA and/or VFRA, particularly in the thoracic region. Caution should be exercised when using visceral fat measurements from the thoracic region as these measurements will be strongly affected by the amount of air held in the lungs at the time of the scan.

This study has important limitations. Our cohort may not be nationally or globally representative, though it is not specific to a particular race or ethnicity. These reference values have not been tested against clinical outcomes and were computed from kidney donor CT protocols only; we did not evaluate the effect of different kVp, mA, convolution kernel, contrast dosage, and/or slice thicknesses used in other protocols nor did we evaluate the effect of various disease states, height, or BMI on these measurements. Because we used retrospective scans, we could not control the slice thickness used in each scan and slice thickness was correlated with the type of scan due to scan protocols used. The vast majority of non-contrast scans used 5mm slice thickness whereas the majority of contrast scans used 2.5mm or smaller slice thickness, resulting in ’sharper’ contrast images and ’blurrier’ non-contrast images. The effect of this difference was not specifically addressed in this manuscript, though visual inspection of distributions showed no large, obvious deviations.

Clinical CT scans obtained in the normal course of patient care can potentially be used for detailed cross-sectional visceral fat evaluation. However, scans may not include vertebral levels for which reference values have been defined (e.g., L3) and may or may not use contrast enhancement. Furthermore, we have shown that the fat HU range used to identify fat pixels can significantly change the resulting measurements, rendering it perhaps one of the most important choices made in CT fat measurement. We report healthy population reference values for a wide range of vertebral levels, in both contrast and non-contrast phases, and using multiple different fat HU ranges. These values provide strong evidence towards standardizing visceral fat area and radiation attenuation measurements and provide a healthy reference population for other studies to compare against.

Methods

Study cohort

We retrospectively studied persons who underwent CT scans at Michigan Medicine as part of evaluation for kidney donation between 1999 and 2017. We have previously studied a subset of these kidney donor candidates as a healthy reference population for skeletal muscle25.

Patient age, sex, height, and weight were obtained from their medical record proximal to the date of evaluation for kidney donation, and the month and year of the evaluation appointment was recorded27. Candidates were included if they had a CT scan performed as part of evaluation for kidney donation, were deemed healthy enough to donate, had age, sex, height, and weight recorded in their electronic medical record, had both contrast-enhanced and non-contrast-enhanced series available, and had a fascia boundary that was fully visible in the display field of view.

Body mass index (BMI) was computed and categorized into groups according the World Health Organization International Classification standard28. Race, unavailable for 25% of the cohort, was reported but not specifically analyzed.

CT imaging was extracted for 2,902 total donor candidates between the ages of 18 and 75. The n = 1,677 candidates of all ages having both a contrast and non-contrast series scan were used in this analysis.

All candidates included in the analysis were scanned using the GE ‘Standard’ reconstruction algorithm (which is optimized for visualizing soft tissue) at 120 kVp in a Discovery or LightSpeed scanner. Non-contrast scans used 2.5 (2007–2010), 3.75 (2008), or 5 mm (1999–2017) slice thickness and contrast scans used 0.625 (2005–2010), 1.25 (2002–2008), 2.5 (1999–2002, 2010–2017), 3.75 (1999), and 5 mm (2002–2016) slice thickness. Tube current was automatically modulated in proportion to body mass.

CT image processing

After being transferred into a spatial database, CT images were processed using Analytic Morphomics, a semi-automated image analysis method that has been previously described24, 29, 30. A combination of automated and user-guided algorithms written in Matlab (The Mathworks Inc, Natick, MA) identified the vertebral bodies to serve as an anatomical coordinate reference system. Next, the outer abdominal fascia and skin boundary were identified at all available vertebral levels to create enclosed regions of interest, which were confirmed by multiple trained researchers (Fig. 4).

Figure 4.

Figure 4

Example of healthy 20 y/o male non-contrast (left) and contrast (right) CT axial slices, showing T10-L4 visceral fat area (yellow-shaded region), subcutaneous fat area (purple shaded region), outer abdominal fascia boundary (yellow line), and skin boundary (purple line). Portions of skin boundary that are coincident with the scan field of view are highlighted in red.

Measurements were taken at each vertebral level between T10 through L4. Sample size at each vertebra level varied due to differences in anatomy included in each subject’s scan. Vertebra levels that did not include both a non-contrast and contrast measurement were excluded.

Fat measurements were computed using the axial slice nearest the inferior aspect of each vertebral body. Visceral fat area (VFA) was computed as the total area of pixels enclosed by the outer abdominal fascia, falling within five different fat Hounsfield Unit (HU) ranges: (1) − 205 to − 51 HU (our reference), (2) − 150 to − 50, (3) − 195 to − 45, (4) − 190 to − 30, (5) − 250 to − 50 HU. Mean radiation attenuation (VFRA) was computed as the mean HU of all pixels included in VFA.

Statistical methods

Male and female demographics, CT parameters, and fat measurements are shown separately as mean +/− s.d. for continuous variables and proportion for categorical variables. Continuous means were compared using two-tailed t-tests assuming unequal variance and categorical proportions were compared using the Chi-squared test.

The within-subject difference between (1) enhanced and non-enhanced fat measures, and (2) between each HU range and the reference range were assessed using paired t-tests. The mean difference and the mean difference expressed as a percentage of the (1) enhanced and (2) reference measurement are reported for each test. Fat HU ranges were analyzed separately in enhanced and non-enhanced scans.

Bland-Altman plots were used to visualize the agreement between pairs of measurements31.

The sex-specific mean and standard deviation of each fat measure were calculated independently for vertebral levels from T10 to L4.

An alpha level of .01 was used to determine statistical significance. All statistical tests were performed in R version 4.0.232, using the package ‘ggplot2’33 for data visualization.

Ethical approval and informed consent

This study was approved by the Institutional Review Board of Michigan Medicine. All methods were performed in accordance with the relevant guidelines and regulations of the United States. Because existing CT scans were used retrospectively, the requirement for informed consent was waived by the Institutional Review Board of the University of Michigan.

Author contributions

B.D., S.H., G.S., and S.W. designed the study. N.W. and S.H. developed the Analytic Morphomics processing code. B.D. and B.R. performed CT processing. B.D. performed the data analyses. B.D. and G.S. collected and interpreted the data and wrote the manuscript. All authors reviewed the manuscript.

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Competing interests

Brian A Derstine, Brian E Ross, Nicholas C Wang, and Grace L Su declare that they have no conflict of interest. Sven A Holcombe and Stewart C Wang are listed as inventors on a US Patent for Analytic Morphomics (#US 20140064583 A1).

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Pickhardt PJ, et al. Utilizing fully automated abdominal ct-based biomarkers for opportunistic screening for metabolic syndrome in adults without symptoms. Am. J. Roentgenol. 2021;216:85–92. doi: 10.2214/AJR.20.23049. [DOI] [PubMed] [Google Scholar]
  • 2.Lee, J. J. et al. Cross-sectional associations of computed tomography (ct)-derived adipose tissue density and adipokines: the framingham heart study. J. Am. Heart Assoc.5, e002545 (2016). [DOI] [PMC free article] [PubMed]
  • 3.Shah, R. V. et al. Visceral adiposity and the risk of metabolic syndrome across body mass index: the mesa study. JACC Cardiovasc. Imaging7, 1221–1235 (2014). [DOI] [PMC free article] [PubMed]
  • 4.Lee JJ, Pedley A, Hoffmann U, Massaro JM, Fox CS. Association of changes in abdominal fat quantity and quality with incident cardiovascular disease risk factors. J. Am. Coll. Cardiol. 2016;68:1509–1521. doi: 10.1016/j.jacc.2016.06.067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Lee JJ, Yin X, Hoffmann U, Fox CS, Benjamin EJ. Relation of pericardial fat, intrathoracic fat, and abdominal visceral fat with incident atrial fibrillation (from the framingham heart study) Am. J. Cardiol. 2016;118:1486–1492. doi: 10.1016/j.amjcard.2016.08.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Tapper, E. B. et al. Body composition predicts mortality and decompensation in compensated cirrhosis patients: a prospective cohort study. JHEP Rep.2, 100061 (2020). [DOI] [PMC free article] [PubMed]
  • 7.Parikh ND, et al. Body composition predicts survival in patients with hepatocellular carcinoma treated with transarterial chemoembolization. Cancer Res. Treat. Off. J. Korean Cancer Assoc. 2018;50:530. doi: 10.4143/crt.2017.156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ebadi M, et al. Visceral adipose tissue radiodensity is linked to prognosis in hepatocellular carcinoma patients treated with selective internal radiation therapy. Cancers. 2020;12:356. doi: 10.3390/cancers12020356. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Vehmas T, Kairemo K, Taavitsainen M. Measuring visceral adipose tissue content from contrast enhanced computed tomography. Int. J. Obes. Relat. Metab. Disord. J. Int. Assoc. Study Obes. 1996;20:570–573. [PubMed] [Google Scholar]
  • 10.Rollins KE, et al. Body composition measurement using computed tomography: does the phase of the scan matter? Nutrition. 2017;41:37–44. doi: 10.1016/j.nut.2017.02.011. [DOI] [PubMed] [Google Scholar]
  • 11.Paris MT, et al. Influence of contrast administration on computed tomography-based analysis of visceral adipose and skeletal muscle tissue in clear cell renal cell carcinoma. J. Parenter. Enteral Nutr. 2018;42:1148–1155. doi: 10.1002/jpen.1067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Perez AA, Pickhardt PJ, Elton DC, Sandfort V, Summers RM. Fully automated ct imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrast. Abdom. Radiol. 2021;46:1229–1235. doi: 10.1007/s00261-020-02755-5. [DOI] [PubMed] [Google Scholar]
  • 13.Morsbach F, Zhang Y-H, Martin L, Lindqvist C, Brismar T. Body composition evaluation with computed tomography: Contrast media and slice thickness cause methodological errors. Nutrition. 2019;59:50–55. doi: 10.1016/j.nut.2018.08.001. [DOI] [PubMed] [Google Scholar]
  • 14.Gohmann RF, et al. 3d-segmentation and characterization of visceral and abdominal subcutaneous adipose tissue on ct: influence of contrast medium and contrast phase. Quant. Imaging Med. Surg. 2021;11:697. doi: 10.21037/qims-20-907. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Maurovich-Horvat P, et al. Comparison of anthropometric, area-and volume-based assessment of abdominal subcutaneous and visceral adipose tissue volumes using multi-detector computed tomography. Int. J. Obes. 2007;31:500–506. doi: 10.1038/sj.ijo.0803454. [DOI] [PubMed] [Google Scholar]
  • 16.Balentine CJ, et al. Validating quantitative obesity measurements in colorectal cancer patients. J. Surg. Res. 2010;164:18–22. doi: 10.1016/j.jss.2010.05.048. [DOI] [PubMed] [Google Scholar]
  • 17.Kaess B, et al. The ratio of visceral to subcutaneous fat, a metric of body fat distribution, is a unique correlate of cardiometabolic risk. Diabetologia. 2012;55:2622–2630. doi: 10.1007/s00125-012-2639-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kvist H, Sjöström L, Tylen U. Adipose tissue volume determinations in women by computed tomography: technical considerations. Int. J. Obes. 1986;10:53–67. [PubMed] [Google Scholar]
  • 19.Kvist H, Chowdhury B, Sjöström L, Tylen U, Cederblad A. Adipose tissue volume determination in males by computed tomography and 40 k. Int. J. Obes. 1988;12:249–266. [PubMed] [Google Scholar]
  • 20.Goodpaster BH, Kelley DE, Wing RR, Meier A, Thaete FL. Effects of weight loss on regional fat distribution and insulin sensitivity in obesity. Diabetes. 1999;48:839–847. doi: 10.2337/diabetes.48.4.839. [DOI] [PubMed] [Google Scholar]
  • 21.Wajchenberg BL. Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome. Endocr. Rev. 2000;21:697–738. doi: 10.1210/edrv.21.6.0415. [DOI] [PubMed] [Google Scholar]
  • 22.Borkan GA, et al. Assessment of abdominal fat content by computed tomography. Am. J. Clin. Nutr. 1982;36:172–177. doi: 10.1093/ajcn/36.1.172. [DOI] [PubMed] [Google Scholar]
  • 23.Shen, W. et al. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J. Appl. Physiol. (1985)97, 2333–2338 (2004). https://www.ncbi.nlm.nih.gov/pubmed/15310748. 10.1152/japplphysiol.00744.2004. [DOI] [PubMed]
  • 24.Derstine, B. A. et al. Quantifying sarcopenia reference values using lumbar and thoracic muscle areas in a healthy population. J. Nutr. Health Aging 1–6 (2017). [DOI] [PubMed]
  • 25.Derstine BA, et al. Skeletal muscle cutoff values for sarcopenia diagnosis using t10 to l5 measurements in a healthy us population. Sci. Rep. 2018;8:11369. doi: 10.1038/s41598-018-29825-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Werf, A. et al. Percentiles for skeletal muscle index, area and radiation attenuation based on computed tomography imaging in a healthy caucasian population. Eur. J. Clin. Nutr. 1 (2017). [DOI] [PMC free article] [PubMed]
  • 27.Hanauer, D. A., Mei, Q., Law, J., Khanna, R. & Zheng, K. Supporting information retrieval from electronic health records: A report of university of michigan’s nine-year experience in developing and using the electronic medical record search engine (emerse). J. Biomed. Inform.55, 290–300 (2015). https://www.ncbi.nlm.nih.gov/pubmed/25979153. 10.1016/j.jbi.2015.05.003. [DOI] [PMC free article] [PubMed]
  • 28.Organization, W. H. Obesity: Preventing and Managing the Global Epidemic. 894 (World Health Organization, 2000). [PubMed]
  • 29.Krishnamurthy, V. et al. Use of analytic morphomics of liver, spleen, and body composition to identify patients at risk for cirrhosis. Clin. Gastroenterol. Hepatol.13, 360–368 e5 (2015). https://www.ncbi.nlm.nih.gov/pubmed/25083565. 10.1016/j.cgh.2014.07.042. [DOI] [PMC free article] [PubMed]
  • 30.Holcombe, S. A. & Wang, S. C. Subcutaneous Fat Distribution in the Human Torso. In IRCOBI Conference, IRC-14-43 (2014).
  • 31.Bland JM, Altman D. Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet. 1986;327:307–310. doi: 10.1016/S0140-6736(86)90837-8. [DOI] [PubMed] [Google Scholar]
  • 32.R Core Team. R: A Language and Environment for Statistical Computing. (R Foundation for Statistical Computing, Vienna, Austria, 2016). https://www.R-project.org/.
  • 33.Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2009). http://ggplot2.org.

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.


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