Measuring Abdominal Circumference and Skeletal Muscle From a Single Cross‐Sectional Computed Tomography Image

计算机断层摄影术 横断面研究 腹部计算机断层扫描 医学 骨骼肌 周长 断层摄影术 腹肌 放射科 内科学 解剖 数学 病理 几何学
作者
Sandra L. Gomez‐Perez,Jacob M. Haus,Patricia Sheean,Bimal V. Patel,Winnie A. Mar,Vivek Chaudhry,Liam McKeever,Carol A. Braunschweig
出处
期刊:Journal of Parenteral and Enteral Nutrition [Wiley]
卷期号:40 (3): 308-318 被引量:241
标识
DOI:10.1177/0148607115604149
摘要

Diagnostic computed tomography (CT) scans provide numerous opportunities for body composition analysis, including quantification of abdominal circumference, abdominal adipose tissues (subcutaneous, visceral, and intermuscular), and skeletal muscle (SM). CT scans are commonly performed for diagnostic purposes in clinical settings, and methods for estimating abdominal circumference and whole-body SM mass from them have been reported. A supine abdominal circumference is a valid measure of waist circumference (WC). The valid correlation between a single cross-sectional CT image (slice) at third lumbar (L3) for abdominal SM and whole-body SM is also well established. Sarcopenia refers to the age-associated decreased in muscle mass and function. A single dimensional definition of sarcopenia using CT images that includes only assessment of low whole-body SM has been validated in clinical populations and significantly associated with negative outcomes. However, despite the availability and precision of SM data from CT scans and the relationship between these measurements and clinical outcomes, they have not become a routine component of clinical nutrition assessment. Lack of time, training, and expense are potential barriers that prevent clinicians from fully embracing this technique. This tutorial presents a systematic, step-by-step guide to quickly quantify abdominal circumference as a proxy for WC and SM using a cross-sectional CT image from a regional diagnostic CT scan for clinical identification of sarcopenia. Multiple software options are available, but this tutorial uses ImageJ, a free public-domain software developed by the National Institutes of Health.
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