The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Imaging techniques for measuring adipose-tissue distribution—a comparison between computed tomography and 1.5-T magnetic resonance
Open accessAbstract
We developed a method for calculating adipose-tissue areas from transverse body scans by magnetic-resonance imaging (MRI). The method is based on an inversion recovery experiment (repetition time 820 ms, inversion delay time 300 ms, and echo time 20 ms). Total-fat areas and subcutaneous-fat areas were calculated by this method and by computed tomography (CT) from abdominal scans taken in seven male volunteers. The SEE ranged from 4.4 cm2 (CV 4.4%) for subcutaneous-fat areas to 8.3 cm2 (CV 12.8%) for visceral-fat areas. The reproducibility of measuring fat areas with MRI was assessed in seven other volunteers (four males, three females). The average errors of the method for different fat areas were 5.4%, 10.6%, and 10.1% for total-, visceral-, and subcutaneous-fat areas, respectively. We conclude that CT and MRI may yield different absolute values of fat areas (especially visceral fat) but that the ranking of individuals on the basis of their fat areas will be similar by both methods.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Noninvasive, nonionizing MRI, along with computed tomography, are considered gold standard for VAT measurement, with a CV for repeated measures of ∼ 2% (30).”
Citations
Cites
Kvist, H., Chowdhury, B., Grangård, U., Tylén, U., & Sjöström, L. (1988) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/48.6.1351 · Cited by 794
A novel technique for the determination of body fat by computed tomography.
Tokunaga, K., Matsuzawa, Y., Ishikawa, K., & Tarui, S. (1983) · PubMed · Cited by 511
Assessment of abdominal fat content by computed tomography
Borkan, G. A., Gerzof, S. G., Robbins, A. H., Hults, D. E., Silbert, C. K., & Silbert, J. E. (1982) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/36.1.172 · Cited by 491
Ashwell, M., Cole, T. J., & Dixon, A. K. (1985) · BMJ · doi:10.1136/bmj.290.6483.1692 · Cited by 401
Adipose tissue volume determinations in women by computed tomography: technical considerations.
Kvist, H., Sjöström, L., & Tylén, U. (1986) · PubMed · Cited by 332
Seidell, J. C., Oosterlee, A., Thijssen, M. A. O., Burema, J., Deurenberg, P., Hautvast, J. G. A. J., & Ruijs, J. H. J. (1987) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/45.1.7 · Cited by 315
Self-citation(1988) · PubMed · Cited by 227
Self-citationSeidell, J. C., Björntorp, P. A., Sjöström, L.-G., Sannerstedt, R., Krotkiewski, M., & Kvist, H. (1989) · PubMed · Cited by 158
Self-citationQuantification of body fat distribution in the abdomen using computed tomography
Grauer, W., Moss, A., Cann, C. E., & Goldberg, H. I. (1984) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/39.4.631 · Cited by 131
Abdominal fat assessed by computed tomography: Sex difference in distribution
Dixon, A. K. (1983) · Clinical Radiology · doi:10.1016/s0009-9260(83)80303-1 · Cited by 124
Research works printed but not linked: 3
- Kvist, 1988, Adipose tissue volume determination in males by computed tomography., Int J Obesity, 12, 249
- Fuller, 1985, Estimation of body fat by nuclear magnetic resonance imaging., Proc Nutr Soc, 44, 108A
- McNeil, 1989, Body fat in lean and obese women measured by six methods., Proc Nutr Soc, 48, 23A
Cited by
Sorted by citations
Items 301–374 of 374
Magnetic Resonance Imaging (MRI): Data Acquisition and Applications in Human Body Composition
Ross, R. (2000) · Springer eBooks · doi:10.1007/978-1-4612-2090-9_19 · Cited by 3
MRI adipose tissue segmentation and quantification in R (RAdipoSeg)
Haugen, C., Lysne, V., Haldorsen, I. S., Tjora, E., Gudbrandsen, O. A., Sagen, J. V., Dankel, S. N., & Mellgren, G. (2022) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-022-00913-x · Cited by 2
Body Fat Area as a Predictive Marker of New-Onset Diabetes Mellitus After Kidney Transplantation
Taoka, R., Tanaka, K., Sofue, T., Abe, Y., Naito, H., Miyauchi, Y., Matsuoka, Y., Tajima, M., Kato, T., Tsunemori, H., et al. (2019) · Transplantation Proceedings · doi:10.1016/j.transproceed.2019.08.031 · Cited by 2
Assessment of Abdominal Adiposity and Organ Fat with Magnetic Resonance Imaging
Houchun, H., Michael, I., & Krishna, S. (2011) · InTech eBooks · doi:10.5772/20602 · Cited by 2
Assessing Indicators of Central Obesity as Hypertensive Risk Factors
Stamatikos, A., & Deyhim, F. (2012) · Journal of Student Research · doi:10.47611/jsr.v1i2.102 · Cited by 2
Using Abdominal CT Data for Visceral Fat Evaluation
Pop, M., & Pop, R. (2013) · Acta Marisiensis. Seria Medica · doi:10.2478/amma-2013-0058 · Cited by 2
Chakraborty, B. M., & Chakraborty, R. (2012) · Handbook of statistics · doi:10.1016/b978-0-44-451875-0.00017-8 · Cited by 2
Segmentation of magnetic resonance images of brain and abdomen
Annamalai, S. (2010) · doi:10.32657/10356/47466 · Cited by 2
Visceral Fat Area Measurement by the Abdominal Bioelectrical Impedance Analysis
Ryo, M. (2015) · Oleoscience · doi:10.5650/oleoscience.15.355 · Cited by 1
Imaging in Precision Medicine for Diabetes
Zaharia, O., Schrauwen‐Hinderling, V. B., & Roden, M. (2022) · Springer eBooks · doi:10.1007/978-3-030-98927-9_4 · Cited by 1
McLigeyo, A., Lule, G. N., Otieno, F. C. F., Kayima, J. K., & Omonge, E. (2013) · Journal of AIDS and HIV Research · doi:10.5897/jahr12.015 · Cited by 1
FCM-Based Method for MRI Segmentation of Anatomical Structure
Pinti, A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-31744-1_16 · Cited by 1
Relation of Visceral Adipose Tissue to Coronary Artery Calcium in Thai Patients
(2020) · Journal of the Medical Association of Thailand · doi:10.35755/jmedassocthai.2020.05.10004 · Cited by 1
Shepherd, J. (2013) · Springer eBooks · doi:10.1007/978-1-84882-710-3_12 · Cited by 1
Fat Segmentation in Magnetic Resonance Images
Costello, D. P., & Kenny, P. (2011) · Biological and medical physics series · doi:10.1007/978-1-4419-9779-1_5 · Cited by 2
Aktürk, Y., & Güneş, S. Ö. (2018) · ARCHIVES OF CLINICAL AND EXPERIMENTAL MEDICINE · doi:10.25000/acem.413101 · Cited by 1
Lee, K., Kim, K. W., Lee, J.-B., Shin, Y., Jang, J. K., Yook, J. H., Kim, B. S., & Lee, I. (2018) · Surgical Metabolism and Nutrition · doi:10.18858/smn.2018.9.2.41 · Cited by 1
Martín, M. A. C. (2014) · doi:10.35376/10324/7542 · Cited by 1
Sakurai, Y., Nakamura, K., Teruya, K., Shimada, N., Matsuda, H., Sakurai, M., & Kono, S. (1994) · Journal of Epidemiology · doi:10.2188/jea.4.47 · Cited by 1
Workshop on body composition in basic and clinical research and the emerging technologies
Brookhaven National Lab., U., & Wielopolski, L. (2000) · doi:10.2172/781829 · Cited by 1
Komiya, S., & Masuda, T. (1995) · 体力科學 · doi:10.7600/jspfsm1949.44.287 · Cited by 1
Measurement of Body Fat and Energy Balance
Irwin, M. L. (2005) · Nutrition and disease prevention · doi:10.1201/9781420026641.ch3 · Cited by 1
Novel metabolic risk markers in obesity and type two Diabetes mellitus
Alramah, T. (2020) · Enlighten: Theses (The University of Glasgow) · doi:10.5525/gla.thesis.81327 · Cited by 1
Technique ultrasonore appliquée à la mesure de la composition corporelle
Pineau, J., Bocquet, M., & Crescenzo, E. (2004) · Dialnet (Universidad de la Rioja) · Cited by 1
Belotta, A. F. (2015) · Americanae (AECID Library)
Zeyl, A. (2006) · Research Online (University of Wollongong)
Adipose tissue and arterial changes in young children
Evelein, A. M. V. (2013) · Utrecht University Repository (Utrecht University)
Pharmacokinetics of Continuous Infusion Morphine Sulfate (MS) in Conscious Newborn Piglets 355
Tumbaga, P. F., Beharry, K. D. A., Federico, C., & Modanlou, H. D. (1998) · Pediatric Research · doi:10.1203/00006450-199804001-00376
Magnetic resonance imaging of total body fat in young adult men
Vehrs, P. R., Parker, D. L., Fellingham, G. W., Adams, T. D., Robison, R. O., & Fisher, A. (1995) · Sports medicine, training, and rehabilitation/Sports medicine, training and rehabilitation · doi:10.1080/15438629509512037
Cristóbal Serrano, G., Francisco Barrera, M., Riquelme, C., Hugo Vidal, A., Labbé, P., Francisco Cruz, O., Marco Arrese, J., Pablo Irarrázaval, M., Cristián Tejos, N., & Uribe, S. A. (2011) · Revista de Fomento Social · doi:10.4067/s0717-93082011000400008
Obesity Research and the New Biology
Bray, G. A. (1996) · Obesity Research · doi:10.1002/j.1550-8528.1996.tb00514.x
Methods for Assessing Body Composition in HIV-Associated Lipodystrophy
Kotler, D. P., & Engelson, E. S. (2003) · Springer eBooks · doi:10.1007/978-1-4615-0471-9_4
Tremblay, N. (2004) · Constellation (Université du Québec à Chicoutimi) · doi:10.1522/18324613
Quel type de tissu adipeux est perdu après chirurgie bariatrique ?
Montastier, É. (2016) · Obésité · doi:10.1007/s11690-015-0505-6
Pál, M. H. (2012) · Semmelweis University Repository (Semmelweis University) · doi:10.14753/se.2012.1663
Aasen, G. (2011) · NORA - Norwegian Open Research Archives
Pi-Sunyer, X., Albu, J., Curi, M. A., Shur, M., Murphy, L. L., & Matthews, D. E. (2016)
The “How” and “Why” of Body Composition Assessment (Adults)
Czerwinski, S. A., & Chumlea, W. C. (2013) · CRC Press eBooks · doi:10.1201/b15294-42
mR imaging evaluation of Cardiovascular Risk in metabolic
van der Meer, R. W., Lamb, H. J., Smit, J. W. A., Roos, A., & Cme, O. (2012)
Active Lifestyles are Associated with Favorable Anthropometric Measures for US Adults.
Tande, D. L., Magel, R. C., Strand, B. N., & Terbizan, D. J. (2009)
Preditores de gordura visceral: comparação entre métodos em adultos e idosos
Roriz, A. K. C. (2013) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
MRI Fat Quantification A Phase Sweep b-SSFP Approach
Larmour, S. (2015) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r38s4k15p
Методы оценки количества и распределения жировой ткани в организме и их клиническое значение
Okorokov, P. L., & Russian Federation (2014)
Matsui, R., Inaki, N., Tsuji, T., & Kadoya, S. (2021) · 日本消化器外科学会雑誌 · doi:10.5833/jjgs.2020.0117
Grima, P., Guido, M., Chiavaroli, R., & Zizza, A. (2010)
Physical activity and obesity in Lebanese adolescents (prevalences, measurements and associations)
Fazah, A., Delamarche, P., & MOUSSA, E. (2010) · OpenGrey (Institut de l'Information Scientifique et Technique)
The How and Why of Body Composition Assessment in Adults
Loan, M. V., Chumlea, W. C., & Remsberg, K. E. (2007) · CRC Press eBooks · doi:10.1201/9781420008890.ch32
Thakore, J. H. (2006) · The British Journal of Psychiatry · doi:10.1192/s0007125000169314
The How and Why of Body Composition Assessment
Loan, M. V. (2001) · CRC Press eBooks · doi:10.1201/9781420038392.ch30
On the relationship between CT measured abdominal fat parameters and three metabolic risk biomarkers
Pop, M., & Pop, R. M. (2023) · Revista română de medicină de laborator · doi:10.2478/rrlm-2023-0005
Tafeit, E., Horejs, R., Sudi, K. M., Berg, A., Reibnegger, G. J., & Möller, R. (2001) · Diagnostic Optical Spectroscopy in Biomedicine · doi:10.1364/ecbo.2001.4432_293
Fat or fit: correlates, consequences and control of overweight in group-housed primates
Zijlmans, D. G. M. (2023) · doi:10.33540/1716
The measurement of body composition and outcome in critically ill patients
Baggerman, M. R. (2023) · Research Publications (Maastricht University) · doi:10.26481/dis.20231030mb
Liu, P., Liu, L., Xie, H., Zhao, L., Pang, S., Zhou, R.-H., Wang, S.-R., Miao, S., Wang, R., & Fu, S. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1555824
Somatic Growth and its Regulation
Clark, P. A., & Rogol, A. D. (1998) · Comprehensive physiology · doi:10.1002/j.2040-4603.1998.tb01532.x
Količina i raspodjela abdominalne masti u osoba s morfološkim promjenama aorte kod MSCT aortografije
Paar, M. H. (2009) · Repository of the Medical Faculty of the University of Zagreb (University of Zagreb)
Additional file 2 of MRI adipose tissue segmentation and quantification in R (RAdipoSeg)
Haugen, C. E., Lysne, V., Haldorsen, I., Tjora, E., Gudbrandsen, O. A., Sagen, J. V., Dankel, S. N., & Mellgren, G. (2022) · Figshare · doi:10.6084/m9.figshare.21303529
Additional file 3 of MRI adipose tissue segmentation and quantification in R (RAdipoSeg)
Haugen, C. E., Lysne, V., Haldorsen, I. H. S., Tjora, E., Gudbrandsen, O. A., Sagen, J. V., Dankel, S. N., & Mellgren, G. (2022) · Figshare · doi:10.6084/m9.figshare.21303532
Lv, Z., Ji, Y., Xu, S., Li, C., & Cai, W. (2024) · Figshare · doi:10.6084/m9.figshare.25720182
Mukkada, P. J., Thangam, V., Gokul, G., & Franklin, T. (2026) · Cureus · doi:10.7759/cureus.101044
Kuchař, M., Morávek, A., Rejtar, P., & Henyš, P. (2021) · Clinical Osteology · doi:10.36290/clo.2021.026
Brosnihan, P. J., Pihl, E. T., Reifel, A., Choi, P., Chen, K. T., Moazzez, A., & Ozao‐Choy, J. J. (2026) · Hernia · doi:10.1007/s10029-026-03620-y
Contribution du gène PCSK1 aux formes monogéniques et polygéniques d’obésité
Choquet, H. (2010) · theses.fr (ABES) · doi:10.70675/419657e6z5c3bz4a17zbbe9zee1f54cf16ad
Human Body Segment Volume Estimation With Front and Back RGB-D Images
Bassani, G., Maoddi, E., Asghar, U., Avizzano, C. A., & Filippeschi, A. (2026) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2026.3731726
Holzschuh, J. C., Rotkopf, L. T., Neelsen, C. J. O., Bauer, F., Zhang, K. S., Menis, E., Hajiyianni, M., Mai, E. K., Weinhold, N., John, L., et al. (2026) · Cancer Imaging · doi:10.1186/s40644-026-01134-5
Visceral fat and weight loss in obese subjects.
Leenen, R. C. A., van der Kooy, K., Seidell, J. C., Deurenberg, P., & HAUTVAST, J. G. A. J. (1994) · Socio-Environmental Systems Modeling
Self-citationThe How and Why of Body Composition Assessment
Loan, M. D. V. (2001) · CRC Press eBooks · doi:10.1201/9781420038392-40
Compressão extrínseca da artéria poplítea em indivíduos assintomáticos atletas e não atletas
de Almeida, M. J. (2003) · Aleph UCLA Undergraduate Research Journal for the Humanities and Social Sciences
Metadata
- Authors
- Seidell, J., Bakker, C., & van der Kooy, K.
- Affiliations
- Wageningen University & Research (NL)
- ORCID
- Bakker, CJ
- Venue
- The American Journal of Clinical Nutrition
- Publisher
- Elsevier BV
- Published
- 1990-06
- Volume
- 51
- Issue
- 6
- Pages
- 953-957
- ISSN
- 0002-9165 (ISSN-L)
- OpenAlex
- W2163925164
- Cited by
- 375
- References
- 16
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 3 · 2023: 10 · 2022: 13 · 2021: 11 · 2020: 14 · 2019: 11 · 2018: 12 · 2017: 6 · 2016: 10 · 2015: 20 · 2014: 12 · 2013: 22 · 2012: 16
- FWCI
- 5.65
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Locations
- American Journal of Clinical Nutrition (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- body fat distribution, visceral fat, subcutaneous adipose tissue, magnetic resonance imaging, computed tomography, measurement reproducibility, method comparison, abdominal imaging
- MeSH terms
- Adipose Tissue, Adult, Body Composition, Body Height, Body Weight, Female, Humans, Magnetic Resonance Imaging, Male, Tomography, X-Ray Computed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review