Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Asthma and Allergy Center, Johns Hopkins University School of Medicine, 5501 Hopkins Bayview Circle, Suite 3 B 73, Baltimore, MD, 21224, USA.
University of Florida College of Medicine, Gainesville, FL, 32610, USA.
Sci Rep. 2024 May 28;14(1):12193. doi: 10.1038/s41598-024-62431-2.
Determination of body composition (the relative distribution of fat, muscle, and bone) has been used effectively to assess the risk of progression and overall clinical outcomes in different malignancies. Sarcopenia (loss of muscle mass) is especially associated with poor clinical outcomes in cancer. However, estimation of muscle mass through CT scan has been a cumbersome, manually intensive process requiring accurate contouring through dedicated personnel hours. Recently, fully automated technologies that can determine body composition in minutes have been developed and shown to be highly accurate in determining muscle, bone, and fat mass. We employed a fully automated technology, and analyzed images from a publicly available cancer imaging archive dataset (TCIA) and a tertiary academic center. The results show that adrenocortical carcinomas (ACC) have relatively sarcopenia compared to benign adrenal lesions. In addition, functional ACCs have accelerated sarcopenia compared to non-functional ACCs. Further longitudinal research might shed further light on the relationship between body component distribution and ACC prognosis, which will help us incorporate more nutritional strategies in cancer therapy.
已经有效地使用身体成分测定（脂肪、肌肉和骨骼的相对分布）来评估不同恶性肿瘤的进展风险和总体临床结局。肌肉减少症（肌肉质量的丧失）尤其与癌症的不良临床结局相关。然而，通过 CT 扫描估计肌肉质量一直是一个繁琐的、人工密集型的过程，需要专门人员进行准确的轮廓勾画。最近，已经开发出能够在几分钟内确定身体成分的全自动技术，并且在确定肌肉、骨骼和脂肪质量方面表现出高度的准确性。我们使用了一种全自动技术，对来自公共癌症成像档案数据集（TCIA）和三级学术中心的图像进行了分析。结果表明，与良性肾上腺病变相比，肾上腺皮质癌（ACC）相对肌肉减少症。此外，功能性 ACC 比非功能性 ACC 有更快的肌肉减少症。进一步的纵向研究可能会进一步阐明身体成分分布与 ACC 预后之间的关系，这将有助于我们在癌症治疗中纳入更多的营养策略。
