The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Adipose Tissue Quantification by Imaging Methods: A Proposed Classification
Open accessAbstract
Recent advances in imaging techniques and understanding of differences in the molecular biology of adipose tissue has rendered classical anatomy obsolete, requiring a new classification of the topography of adipose tissue. Adipose tissue is one of the largest body compartments, yet a classification that defines specific adipose tissue depots based on their anatomic location and related functions is lacking. The absence of an accepted taxonomy poses problems for investigators studying adipose tissue topography and its functional correlates. The aim of this review was to critically examine the literature on imaging of whole body and regional adipose tissue and to create the first systematic classification of adipose tissue topography. Adipose tissue terminology was examined in over 100 original publications. Our analysis revealed inconsistencies in the use of specific definitions, especially for the compartment termed “visceral” adipose tissue. This analysis leads us to propose an updated classification of total body and regional adipose tissue, providing a well‐defined basis for correlating imaging studies of specific adipose tissue depots with molecular processes.
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Cites
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Cited by
Pathophysiology of human visceral obesity: an update
Tchernof, A., & Després, J.-P. (2013) · Physiological Reviews · doi:10.1152/physrev.00033.2011 · Cited by 2,583
Mechanisms, Pathophysiology, and Management of Obesity
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Self-citationAdipose tissue dysfunction as determinant of obesity-associated metabolic complications
Longo, M., Zatterale, F., Naderi, J., Parrillo, L., Formisano, P., Raciti, G. A., Beguinot, F., & Miele, C. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20092358 · Cited by 1,575
Gender differences in insulin resistance, body composition, and energy balance
Geer, E. B., & Shen, W. (2009) · Gender Medicine · doi:10.1016/j.genm.2009.02.002 · Cited by 913
Self-citationIacobellis, G., Ribaudo, M. C., Assael, F., Vecci, E., Tiberti, C., Zappaterreno, A., Di Mario, U., & Leonetti, F. (2003) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2003-030698 · Cited by 842
Metadata
- Authors
- Shen, W., Wang, Z., Punyanita, M., Lei, J., Sinav, A., Kral, J. G., Imielinska, C., Ross, R., & Heymsfield, S. B.
- Venue
- Obesity Research
- Publisher
- Wiley
- Published
- 2003-01
- Volume
- 11
- Issue
- 1
- Pages
- 5-16
- ISSN
- 1071-7323 (ISSN-L)
- 1550-8528
- OpenAlex
- W2164541735
- Cited by
- 509
- References
- 10
- FWCI
- 6.88
- Type
- journal article
- Language
- en
- Open access
- green
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- Shen, W., Wang, Z., Punyanita, M., Lei, J., Sinav, A., Kral, J. G., Imielinska, C., Ross, R., & Heymsfield, S. B. (2003). Adipose Tissue Quantification by Imaging Methods: A Proposed Classification. Obesity Research. https://doi.org/10.1038/oby.2003.3
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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