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Editorial
. 2021 Dec;22(12):1934-1937.
doi: 10.3348/kjr.2021.0775. Epub 2021 Oct 26.

Automated CT-Based Body Composition Analysis: A Golden Opportunity

Perry J Pickhardt  1 , Ronald M Summers  2 , John W Garrett  3
Affiliations
Editorial

Automated CT-Based Body Composition Analysis: A Golden Opportunity

Perry J Pickhardt et al. Korean J Radiol. 2021 Dec.
No abstract available

Keywords: Artificial intelligence; Body composition; CT; Deep learning; Opportunistic screening.

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Conflict of interest statement

Dr. Pickhardt serves or has recently served as an advisor to Bracco, Zebra, and GE Healthcare; and is a shareholder in SHINE, Elucent, and Cellectar. Dr. Summers receives royalties from iCAD, PingAn, Philips and ScanMed and research support from PingAn and NVIDIA.

Figures

Fig. 1
Fig. 1. Fully automated CT-based body composition analysis in a 93-year-old female with history of both colon and breast cancer.
Post-contrast CT image at the L1 vertebral level demonstrates automated segmentation and display of skeletal muscle (red), visceral fat (amber), subcutaneous fat (blue), aortic calcium (bright yellow), liver (brown), spleen (orange), and trabecular bone (green). These all represent examples of “explainable artificial intelligence” that can be visually confirmed and compared against analogous manual measures, if desired.
Fig. 2
Fig. 2. The OSCAR.
OSCAR represents a group of investigators interested in image-based body composition analysis. In particular, a multi-center trial will seek to develop and validate a process for applying CT-based opportunistic cardiometabolic screening utilizing fully automated body composition tools. This large-scale effort aims to address variations related to patient demographics and different technical environments, as well as explore the prognostic value of the combined body composition measures for predicting future adverse events. The ultimate goal is to provide a generalizable, vendor-neutral CT solution that can translate to routine clinical use and add substantial value to patient care without the need for additional patient time or dose exposure. OSCAR = Opportunistic Screening Consortium in Abdominal Radiology
See this image and copyright information in PMC

References

    1. Pickhardt PJ. Value-Added Opportunistic CT Screening: State of the Art. Radiology. (in press)
    1. Pickhardt PJ, Graffy PM, Perez AA, Lubner MG, Elton DC, Summers RM. Opportunistic screening at abdominal CT: use of automated body composition biomarkers for added cardiometabolic value. Radiographics. 2021;41:524–542. - PMC - PubMed
    1. Pickhardt PJ, Pooler BD, Lauder T, del Rio AM, Bruce RJ, Binkley N. Opportunistic screening for osteoporosis using abdominal computed tomography scans obtained for other indications. Ann Intern Med. 2013;158:588–595. - PMC - PubMed
    1. Magudia K, Bridge CP, Bay CP, Babic A, Fintelmann FJ, Troschel FM, et al. Population-scale CT-based body composition analysis of a large outpatient population using deep learning to derive age-, sex-, and race-specific reference curves. Radiology. 2021;298:319–329. - PMC - PubMed
    1. Weston AD, Korfiatis P, Kline TL, Philbrick KA, Kostandy P, Sakinis T, et al. Automated abdominal segmentation of CT scans for body composition analysis using deep learning. Radiology. 2019;290:669–679. - PubMed

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