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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.
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“Noninvasive, nonionizing MRI, along with computed tomography, are considered gold standard for VAT measurement, with a CV for repeated measures of ∼ 2% (30).”
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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
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Items 201–300 of 374
Matsui, R., Inaki, N., & Tsuji, T. (2022) · Nutrition · doi:10.1016/j.nut.2022.111619 · Cited by 18
Makino, H., Kunisaki, C., Akiyama, H., Ono, H. A., Kosaka, T., Takagawa, R., Nagano, Y., Fujii, S., & Shimada, H. (2008) · Patient Safety in Surgery · doi:10.1186/1754-9493-2-7 · Cited by 18
Grima, P., Guido, M., Chiavaroli, R., & Zizza, A. (2010) · Cardiovascular Ultrasound · doi:10.1186/1476-7120-8-24 · Cited by 18
Determination of Tissue Volumes
Lönn, L., Starck, G., Alpsten, M., EKHOLM, S. E., & Sjöström, L. (1999) · Acta Radiologica · doi:10.3109/02841859909175560 · Cited by 18
Automatic MRI adipose tissue mapping using overlapping mosaics
Yang, G. Z., Myerson, S. G., Chabat, F., Penneil, D. J., & Firmin, D. N. (2002) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/bf02668185 · Cited by 18
Okada, K., Nishigori, T., Obama, K., Tsunoda, S., Hida, K., Hisamori, S., & Sakai, Y. (2019) · Journal of Oncology · doi:10.1155/2019/8404383 · Cited by 17
Panizza, C. E., Wong, M. C., Kelly, N. N., Liu, Y. E., Shvetsov, Y. B., Lowe, D. A., Weiss, E. J., Heymsfield, S. B., Kennedy, S., Boushey, C. J., et al. (2020) · Current Developments in Nutrition · doi:10.1093/cdn/nzaa090 · Cited by 17
Shabestari, A. A., Bahrami‐Motlagh, H., Hosseinpanah, F., & Heidari, K. (2013) · Journal of Ultrasound in Medicine · doi:10.7863/ultra.32.11.1957 · Cited by 17
Rogalla, P., Meiri, N., Hoksch, B., Boeing, H., & Hamm, B. (1998) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1600612 · Cited by 17
Linder, N., Michel, S., Eggebrecht, T., Schaudinn, A., Blüher, M., Dietrich, A., Denecke, T., & Busse, H. (2020) · European Journal of Radiology · doi:10.1016/j.ejrad.2020.109184 · Cited by 16
Evaluation of Visceral Fat in Massive Obesity
Vatier, C., Poitou, C., & Clément, K. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-407869-7.00006-4 · Cited by 17
Effects of telmisartan on fat distribution: a meta-analysis of randomized controlled trials
Choi, G. J., Kim, H. M., Kang, H., & Kim, J. (2016) · Current Medical Research and Opinion · doi:10.1185/03007995.2016.1171204 · Cited by 18
Metabolic syndrome and schizophrenia
Reynolds, G. P. (2005) · The British Journal of Psychiatry · doi:10.1192/bjp.188.1.86-a · Cited by 16
Stonehouse, W., Sergi, D., Benassi-Evans, B., James-Martin, G., Johnson, N., Thompson, C. H., & Abeywardena, M. (2021) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa347 · Cited by 16
Body Composition Assessment in Adults with Spinal Cord Injury
Clasey, J. L., & Gater, D. R. (2007) · Topics in Spinal Cord Injury Rehabilitation · doi:10.1310/sci1204-8 · Cited by 15
Upper arm measurements of healthy neonates comparing ultrasonography and anthropometric methods
Pereira‐da‐Silva, L., Gomes, J. V., Clington, A., Videira‐Amaral, J. M., & Bustamante, S. A. (1999) · Early Human Development · doi:10.1016/s0378-3782(98)00085-1 · Cited by 15
Karampatos, S., Παπαϊωάννου, Α., BEATTIE, K. A., Maly, M. R., Chan, A., Adachi, J. D., & Pritchard, J. M. (2015) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-015-0510-7 · Cited by 15
Hsu, L., Ali, Z., Bagheri, H., Huda, F., Redd, B. A., & Jones, E. C. (2023) · Tomography · doi:10.3390/tomography9030085 · Cited by 14
Kim, C. G., Kim, W. H., Kim, M. H., & Kim, D. (2013) · Nuclear Medicine and Molecular Imaging · doi:10.1007/s13139-013-0207-7 · Cited by 14
Xiong, Z., Zhou, Z., Hao, L., Li, Y., Hu, X., Hu, D., Luo, Y., Wang, Y., Shen, Y., & Li, Z. (2022) · Insights into Imaging · doi:10.1186/s13244-022-01293-6 · Cited by 14
Sharma, R. C., Kramsch, D. M., Lee, P. L., Colletti, P. M., & Jiao, Q. (1996) · Obesity Research · doi:10.1002/j.1550-8528.1996.tb00530.x · Cited by 14
Berthold, P. R., von Elverfeldt, D., Fiedler, W., Hennig, J., Kaatz, M., & Querner, U. (2001) · Journal für Ornithologie · doi:10.1007/bf01651739 · Cited by 17
Effects of growth hormone treatment on visceral adipose tissue
Brummer, R. J. (1998) · Growth Hormone & IGF Research · doi:10.1016/s1096-6374(98)80021-x · Cited by 14
Lv, Z., Ji, Y., Xu, S., Li, C., & Cai, W. (2024) · Lipids in Health and Disease · doi:10.1186/s12944-024-02105-0 · Cited by 16
Between-slice intervals in quantification of adipose tissue and muscle in children
Shen, W., Chen, J., Kwak, S., Punyanitya, M., & Heymsfield, S. B. (2010) · International Journal of Pediatric Obesity · doi:10.3109/17477166.2010.486833 · Cited by 13
Zhang, Y., Jiang, L., Su, P., Tian, Y., Ma, Z., Kang, W., Liu, Y., Jin, Z., & Yu, J. (2022) · Nutrients · doi:10.3390/nu14235047 · Cited by 13
Accuracy of estimating intra-abdominal fat in obese women
Ball, S., & Swan, P. D. (2003) · Cited by 13
The role of sarcopenic obesity in high‐grade endometrial cancer
Donkers, H., Fasmer, K. E., McGrane, J., Pijnenborg, J. M. A., Bekkers, R. L. M., Haldorsen, I. S., & Galaal, K. A. (2021) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.13591 · Cited by 12
Wang, M., Yuan, H., Lei, F., zhang, S., Lin, J., Yan, J., & Feng, D. (2023) · World Neurosurgery · doi:10.1016/j.wneu.2023.11.066 · Cited by 12
Pritchard, J. M., Karampatos, S., BEATTIE, K. A., Giangregorio, L., Ioannidis, G., Atkinson, S. A., Thabane, L., Gerstein, H. C., Punthakee, Z., Adachi, J. D., et al. (2015) · Journal of Aging Research · doi:10.1155/2015/872726 · Cited by 12
Cremona, A., Hayes, K., O’Gorman, C. S., Laighin, C. N., Ismail, K. I., Donnelly, A., Hamilton, J., & Cotter, A. M. (2019) · BMC Medical Imaging · doi:10.1186/s12880-019-0393-6 · Cited by 13
Visser, M., Seidell, J. C., Koppeschaar, H. P. F., & Smits, P. (1994) · Obesity Research · doi:10.1002/j.1550-8528.1994.tb00641.x · Cited by 12
Self-citationAortomesenteric Fat Thickness With Ultrasound Predicts Metabolic Diseases in Obese Patients
Monaco, L., Castaldo, L., Castaldo, G., Monaco, M., Tommaso, L. D., & Stassano, P. (2013) · The American Journal of the Medical Sciences · doi:10.1097/maj.0b013e318288f795 · Cited by 12
Yang, L., Mu, L., Huang, K., Zhang, T., Mei, Z., Zeng, W., He, J., Chen, W., Liu, X., Ye, X., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.13255 · Cited by 12
Waduud, M. A., Sharaf, A., Roy, I. N., Lopez-Gonzalez, R., Hart, A. M., McGill, D., Roditi, G., & Biddlestone, J. (2017) · British Journal of Radiology · doi:10.1259/bjr.20160662 · Cited by 12
What is the Importance of Body Composition in Obesity-related Depression?
Köksal, Ü. İ., Ertürk, Z., Köksal, A. R., Özşenel, E. B., & Kaptanogullari, O. H. (2017) · Eurasian Journal of Medicine · doi:10.5152/eurasianjmed.2017.16129 · Cited by 12
Bi, X., Loo, Y. T., & Henry, C. J. (2018) · Nutrition · doi:10.1016/j.nut.2018.04.003 · Cited by 12
Gifford, A., Walker, R. C., Towse, T. F., & Welch, E. B. (2015) · Journal of medical imaging · doi:10.1117/1.jmi.2.4.046001 · Cited by 11
Calculating cardiac risk in obese adolescents before and after onset of lifestyle intervention
Reinehr, T. (2013) · Expert Review of Cardiovascular Therapy · doi:10.1586/erc.13.6 · Cited by 11
Pelvic MRI and CT images are interchangeable for measuring peripouch fat
Gao, X., Lan, N., Chouhan, H. S., Stocchi, L., Remer, E. M., & Shen, B. (2017) · Scientific Reports · doi:10.1038/s41598-017-12732-6 · Cited by 11
Abdominal subcutaneous fat quantification in obese patients from limited field-of-view MRI data
Michel, S., Linder, N., Eggebrecht, T., Schaudinn, A., Blüher, M., Dietrich, A., Denecke, T., & Busse, H. (2020) · Scientific Reports · doi:10.1038/s41598-020-75985-8 · Cited by 11
Facial Lipoatrophy and the Place of Ultrasound
Ascher, B., & Katz, P. (2006) · Dermatologic Surgery · doi:10.1097/00042728-200605000-00014 · Cited by 11
Metabolic complications of HIV therapy.
Chow, D. C., Day, L. J., Souza, S. A., & Shikuma, C. M. (2006) · PubMed · Cited by 11
Percutaneous CT‐Guided Cryovagotomy in Patients with Class I or Class II Obesity: A Pilot Trial
Prologo, J. D., Lin, E., Bergquist, S. H., Knight, J., Matta, H., Brummer, M., Singh, A., Patel, Y., & Corn, D. J. (2019) · Obesity · doi:10.1002/oby.22523 · Cited by 10
Zhou, Z., Xiong, Z., Shen, Y., Li, Z., Hu, X., & Hu, D. (2021) · Insights into Imaging · doi:10.1186/s13244-021-01121-3 · Cited by 10
Auger, F., Duriez, P., Martin‐Nizard, F., Durieux, N., Bordet, R., & Pétrault, O. (2014) · Schizophrenia Research and Treatment · doi:10.1155/2014/429291 · Cited by 13
Erdoğan, T., Çetın, M., Kocaman, S. A., Durakoğlugil, M. E., Ergül, E., Uğurlu, Y., & Çanğa, A. (2013) · The Anatolian Journal of Cardiology · doi:10.5152/akd.2013.099 · Cited by 10
Peters, D. M., Fox, K. R., Armstrong, N., Sharpe, P., & Bell, M. (1994) · American Journal of Human Biology · doi:10.1002/ajhb.1310060212 · Cited by 10
Matsui, R., Inaki, N., Tsuji, T., & Fukunaga, T. (2023) · Cancers · doi:10.3390/cancers15072100 · Cited by 9
Bachmann, R., Léonard, D., Nachit, M., Remue, C., Orabi, N. A., Desmet, L., Faber, B., Danse, E. M., Tréfois, P., & Kartheuser, A. H. (2018) · PubMed · Cited by 9
Yan, B., Yang, J., Li, Q., Gao, F., Bai, L., Wang, G., & Ma, X. (2021) · International Journal of Stroke · doi:10.1177/17474930211006285 · Cited by 10
Yamada, Y., Jinzaki, M., Niijima, Y., Hashimoto, M., Yamada, M., Abe, T., & Kuribayashi, S. (2015) · American Journal of Roentgenology · doi:10.2214/ajr.14.13411 · Cited by 9
Penaforte, F. R. D. O., Japúr, C. C., Garcia, R. W. D., Macedo, C. S., & Chiarello, P. G. (2012) · PubMed · doi:10.3305/nh.2012.27.5.5933 · Cited by 10
Obesity and Diabetes: Newer Concepts in Imaging
Garg, K., Chang, S., & Scherzinger, A. L. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0039 · Cited by 9
Pulmonary Function Assessment in the Laboratory during Exercise
Cooper, D. M., & Springer, C. (2006) · Elsevier eBooks · doi:10.1016/b978-0-7216-3695-5.50015-8 · Cited by 9
Karslı, N., & Kutlu, E. T. (2023) · PeerJ · doi:10.7717/peerj.16196 · Cited by 8
Xiong, Z., Wu, P., Zhang, Y., Chen, J., Shen, Y., Kamel, I. R., Wu, B., Zheng, X., & Li, Z. (2024) · Insights into Imaging · doi:10.1186/s13244-024-01640-9 · Cited by 8
Xu, C. B., Zhao, S., Yu, S., Chi, C., Fan, X., Ji, H., Maimaitiaili, R., Teliewubai, J., Li, X., Zhang, Y., et al. (2020) · Aging Clinical and Experimental Research · doi:10.1007/s40520-020-01752-4 · Cited by 8
Zegers, D., Beckers, S., Mertens, I. L., Gaal, L. F. V., & Hul, W. V. (2010) · Endocrine · doi:10.1007/s12020-010-9386-5 · Cited by 8
Al‐Radaideh, A., Tayyem, R., Al-Fayomi, K. I., Nimer, N. A., Malkawi, A. A., Al-Zu’bi, R. M., Agraib, L. M., Athamneh, I., & Hijjawi, N. (2016) · The American Journal of the Medical Sciences · doi:10.1016/j.amjms.2016.09.009 · Cited by 7
Jin, Q., Ren, Q., Chang, X., Lu, X., Wang, G., & He, N. (2022) · Cancer Medicine · doi:10.1002/cam4.5155 · Cited by 7
Analysis of CT, MRI, DITI for the Diagnosis of Abdominal Obesity and Clinical Usefulness
Yeo, J.-D., & Jeon, B.-K. (2011) · The Journal of the Korea Contents Association · doi:10.5392/jkca.2011.11.6.252 · Cited by 7
Automatic Segmentation of Abdominal Fat in MRI-Scans, Using Graph-Cuts and Image Derived Energies
Christensen, A. N., Larsen, C. T., Mandrup, C. M., Petersen, M., Larsen, R., Conradsen, K., & Dahl, V. A. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-59129-2_10 · Cited by 7
Lv, T., Beeharry, M. K., & Zhu, Z. (2018) · Asian Journal of Surgery · doi:10.1016/j.asjsur.2018.11.008 · Cited by 7
Abdominal fat volume estimation by stereology on CT: a comparison with manual planimetry
Manios, G. E., Mazonakis, M., Voulgaris, C., Karantanas, A. H., & Damilakis, J. E. (2015) · European Radiology · doi:10.1007/s00330-015-3865-2 · Cited by 7
Anatomical and CT approach of the adipose tissue: application in morbid obesity
Renard, Y., Cives, A. D., Veyrie, N., Bouillot, J. L., Bertin, É., Labrousse, M., Kianmanesh, R., & Avisse, C. (2015) · Surgical and Radiologic Anatomy · doi:10.1007/s00276-015-1484-x · Cited by 7
Havens, P. L. (2003) · Seminars in Pediatric Infectious Diseases · doi:10.1053/j.spid.2003.09.005 · Cited by 7
Nucleoside Analogues Toxicities Related to Mitochondrial Dysfunction: Focus on HIV-Infected Children
Viganò, M., & Giacomet, V. (2005) · Antiviral Therapy · doi:10.1177/135965350501002s06 · Cited by 7
Wojda, T. R., Cardone, M. S., Lo, W. D., Stawicki, S. P., & Evans, D. C. (2015) · Current Surgery Reports · doi:10.1007/s40137-015-0099-9 · Cited by 7
Human body composition models and methodology : theory and experiment
Wang, Z. (1997) · doi:10.18174/206155 · Cited by 7
Delouya, G., Taussky, D., Ji, C. R., Sylvestre, M., & Donath, D. (2011) · Brachytherapy · doi:10.1016/j.brachy.2011.05.009 · Cited by 6
Lai, C.-L., Lu, H.-K., Huang, A.-C., Chu, L.-P., Chuang, H.-Y., & Hsieh, K.-C. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.952929 · Cited by 9
Weedall, A., Wilson, A. J., & Wayte, S. C. (2019) · British Journal of Radiology · doi:10.1259/bjr.20190300 · Cited by 6
Effect of Housing Conditions on Cortisol and Body Fat Levels in Female Rhesus Macaques
Zijlmans, D. G. M., Meijer, L., Vernes, M. K., Wubben, J. A. M., Hofman, L., Louwerse, A. L., Sterck, E. H. M., Langermans, J. A. M., & Stammes, M. A. (2021) · Biology · doi:10.3390/biology10080744 · Cited by 6
Zhou, A., Murillo, H., Cusi, K. J., & Peng, Q. (2012) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.23582 · Cited by 6
Sbarbati, A., Marzola, P., Simonati, A., Nicolato, E., & Osculati, F. (1998) · Cells Tissues Organs · doi:10.1159/000046444 · Cited by 6
Quantitative Analysis of Lower Leg Adipose Tissue Distribution in Youth with Myelomeningocele
Lorenzana, D. J., Mueske, N. M., Ryan, D. D., Speybroeck, A. L. V., & Wren, T. A. L. (2016) · Journal of Child Neurology · doi:10.1177/0883073816634858 · Cited by 6
Maresky, H. S., Sharfman, Z. T., Ziv‐Baran, T., Gomori, J. M., Copel, L., & Tal, S. (2015) · Medicine · doi:10.1097/md.0000000000001991 · Cited by 6
Automated Discrimination of Tissue Boundaries using Ultrasound Images of "Ubiquitous Echo"
Inoue, M., Bu, N., Fukuda, O., & Okumura, H. (2007) · Conference proceedings · doi:10.1109/iembs.2007.4352543 · Cited by 6
Measuring Body Composition in Adults and Children
Jebb, S. A., & Wells, J. C. K. (2005) · doi:10.1002/9780470987087.ch2 · Cited by 6
A Predicted Future for Bariatric Surgery: Using the Surgical Model
Cowan, G. S. M. (1996) · Obesity Surgery · doi:10.1381/096089296765557213 · Cited by 6
Aydın, G. A., & Özsoy, H. G. T. (2020) · The European Research Journal · doi:10.18621/eurj.668471 · Cited by 5
Heckman, K. M., Otemuyiwa, B. T., Chenevert, T. L., Malyarenko, D. I., Derstine, B. A., Wang, S. C., & Davenport, M. S. (2018) · Abdominal Radiology · doi:10.1007/s00261-018-1678-x · Cited by 5
Waduud, M. A., Ul-Hassan, A., Naveed, T., Adusumilli, P., Slater, T. A., Straw, S., Hammond, C. J., & Scott, D. J. A. (2020) · British Journal of Radiology · doi:10.1259/bjr.20200136 · Cited by 5
Yoshizumi, T. (2007) · Japanese Journal of Radiological Technology · doi:10.6009/jjrt.63.276 · Cited by 5
Importancia clínica, métodos diagnósticos y efectos del ejercicio físico sobre la grasa visceral
Vázquez, R. F., Correas-Gómez, L., Carnero, E. Á., & Alvero‐Cruz, J. R. (2014) · Archivos de medicina del deporte: revista de la Federación Española de Medicina del Deporte y de la Confederación Iberoamericana de Medicina del Deporte · Cited by 4
Mohan, K. B. K., & Anburajan, M. (2013) · PubMed · doi:10.3275/8921 · Cited by 4
Development of a Ubiquitous Echographic Device for Evaluating Human Body Composition.
Fukuda, O., Tsubai, M., Inoue, M., Bu, N., Ueno, N., Okumura, H., & Arai, K. (2009) · Cited by 4
MURAOKA, Y., & Komiya, S. (1991) · The Annals of physiological anthropology · doi:10.2114/ahs1983.10.203 · Cited by 4
Shojaei, M. H., Shirani, S., Eshraghian, M. R., & Soleymanzadeh, M. (2010) · Europe PMC (PubMed Central) · Cited by 4
Automated Discrimination of Tissue Boundaries Using Ultrasound Images
Inoue, M., Fukuda, O., Bu, N., Ueno, N., Okumura, H., & Arai, K. (2008) · Transactions of the Society of Instrument and Control Engineers · doi:10.9746/ve.sicetr1965.44.678 · Cited by 4
Plank, L. D., & Hill, G. L. (2001) · Elsevier eBooks · doi:10.1016/b978-012655330-7/50060-5 · Cited by 4
García, C. S., Barrera, F., Labbé, P., Liberona, J., Arrese, M., Irarrazabal, P., Tejos, C., & Uribe, S. (2012) · Revista médica de Chile (Impresa) · doi:10.4067/s0034-98872012001200003 · Cited by 3
Kim, Y. J., Jeong, J. Y., Nam, S. Y., Kim, M. J., Oh, J. H., Kim, K. G., & Sohn, D. K. (2015) · Journal of Biomedical Science and Engineering · doi:10.4236/jbise.2015.810063 · Cited by 3
Visceral Fat and Risk Factors for Atherosclerosis
Nakamura, T. (2004) · Internal Medicine · doi:10.2169/internalmedicine.43.1095 · Cited by 3
Exercise and Lung Function in Child Health and Disease
Cooper, D. M., Radom‐Aizik, S., Shin, H., & Nemet, D. (2012) · Elsevier eBooks · doi:10.1016/b978-1-4377-1984-0.00013-9 · Cited by 3
Body Composition in Older Adults
Martín, M. A. C., Silleras, B. D. M., & del Río, P. R. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811353-0.00006-3 · Cited by 3
Xiao, X., Wang, Y., Gao, Y., Xie, Q., Zhou, C., Lin, L., Dekkers, I. A., & Lamb, H. J. (2019) · British Journal of Radiology · doi:10.1259/bjr.20190526 · Cited by 3
Somatic Growth and its Regulation
Clark, P. A., & Rogol, A. D. (1999) · Comprehensive physiology · doi:10.1002/cphy.cp070502 · Cited by 3
Abdominal Fat Assessment in Postmenopausal Women Receiving Hormone Replacement Therapy
Hoover, L. W., Boote, E., Hillard, A. E., Thomas, T. R., Firman, J. D., Hewett, J. E., & Gay, J. W. (1993) · Springer eBooks · doi:10.1007/978-1-4899-1268-8_49 · Cited by 3
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
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