癌症中肌肉减少症的放射学定义综述

James W. Wang, Jiarong Chen, Alison H. McGregor, Matthew Williams
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引用次数: 0

摘要

癌症的肉瘤影响总体生存率、手术并发症和肿瘤治疗的副作用。癌症患者经常接受横断面成像,从而偶然捕获放射性少肌症生物标志物。这些生物标志物因成像方式、肿瘤组、患者人口统计和解剖结构而异,但在临床应用方面缺乏共识。在这篇文章中,我们通过解剖学对基于放射学的少肌症生物标志物及其在文献中的流行情况进行了概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A review of radiological definitions of sarcopenia in cancer

A review of radiological definitions of sarcopenia in cancer

Background

Sarcopenia in cancer impacts overall survival, surgical complications, and side effects of oncological treatments. Cancer patients frequently receive cross-sectional imaging, allowing incidental capture of radiological sarcopenia biomarkers. These biomarkers vary by imaging modality, tumour group, patient demographics, and anatomy but lack a consensus with regard to clinical application. In this article, we provide an overview of radiology-based sarcopenia biomarkers by anatomy and their prevalence in the literature.

Methods

In accordance with previously published scoping review protocol, we searched PubMed/MEDLINE, Embase, Scopus, and Cochrane between 2007 and June 2021. Studies were independently reviewed by two authors with Cohen's kappa 0.81 and reported using descriptive statistics.

Results

There were 5649 titles and abstracts reviewed, including 459 full-text articles. There were 23 additions found through references, resulting in 482 total studies. There is a consistent year-on-year increase of new radiological sarcopenia landmarks since 2015, with 49.8% studies reporting novel definitions of sarcopenia. The majority of studies ranged between 50 and 300 participants and featured an abdominal sarcopenia marker (94.4%), of which 75.2% used the skeletal muscle index at L3 (L3SMI). Sarcopenia prevalence ranged from 8.33% to 89.66%. Biomarkers are often applied across genders and ethnicities, regardless of the original population the definition originated from, despite the emergence and availability of ethnic-specific alternatives.

Conclusion

There remains a need to incorporate demographics and age into predictive models derived from sarcopenia biomarkers obtained through routine clinical imaging. Use of individual biomarkers needs to be made with careful consideration of the population in which the biomarkers were generated.

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