Scholarlink

Objectives <p>This study aimed to explore the prognostic value of body composition (BC) parameters derived from CT imaging and their derived phenotypes following resection of hepatocellular carcinoma (HCC).</p> Materials and methods <p>Retrospective collection of HCC patients who underwent liver resection at 5 medical centers. TotalSegmentator was employed to segment adipose and muscle tissues on CT images. Manual corrections were performed at the L3 level to extract tissue area and CT density parameters. Cox proportional hazards models were used to identify potential prognostic parameters for 2-year recurrence-free survival (RFS) and construct BC phenotypes. Further exploration was conducted on the prognostic value of the BC phenotypes.</p> Results <p>A total of 497 patients were included (mean age, 59.3 ± 11.0 years; 396 men; cirrhosis prevalence, 53.50%), with a median follow-up of 38.1 months [95% CI, 35.2–44.8 months]. Among male patients, combining the subcutaneous adipose tissue (SAT) index and skeletal muscle (SM) density identified 3 phenotypes with significant survival differences: low risk (high SAT index and high SM density), high risk (low SAT index and low SM density), and intermediate risk (the remaining patients). The high-risk phenotype had a significantly lower 2-year RFS than the low-risk phenotype (HR: 2.34; 95% CI, 1.36–4.03), exceeding the prognosis value of individual BC parameters.</p> Conclusion <p>BC phenotypes derived from SAT index and SM density provide superior risk stratification for 2-year RFS compared with individual BC parameters in male patients after HCC resection.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Prognostic value of CT-derived body composition phenotypes for patients undergoing resection of hepatocellular carcinoma: a multicenter study

  • 期刊论文

  • 发表日期：

    2026年7月22日

查看全文
  • Zhaogang Zhang,
  • Tianyi Xia,
  • Hengtao Zhang,
  • Yangyang Xie,
  • Ying Du,
  • Zhongsong Gao,
  • Xiao Liang,
  • Kun Zhang,
  • Zhengyang Han,
  • Zhiwei Shen,
  • Shenghong Ju,
  • Wen Shen

摘要

Objectives

This study aimed to explore the prognostic value of body composition (BC) parameters derived from CT imaging and their derived phenotypes following resection of hepatocellular carcinoma (HCC).

Materials and methods

Retrospective collection of HCC patients who underwent liver resection at 5 medical centers. TotalSegmentator was employed to segment adipose and muscle tissues on CT images. Manual corrections were performed at the L3 level to extract tissue area and CT density parameters. Cox proportional hazards models were used to identify potential prognostic parameters for 2-year recurrence-free survival (RFS) and construct BC phenotypes. Further exploration was conducted on the prognostic value of the BC phenotypes.

Results

A total of 497 patients were included (mean age, 59.3 ± 11.0 years; 396 men; cirrhosis prevalence, 53.50%), with a median follow-up of 38.1 months [95% CI, 35.2–44.8 months]. Among male patients, combining the subcutaneous adipose tissue (SAT) index and skeletal muscle (SM) density identified 3 phenotypes with significant survival differences: low risk (high SAT index and high SM density), high risk (low SAT index and low SM density), and intermediate risk (the remaining patients). The high-risk phenotype had a significantly lower 2-year RFS than the low-risk phenotype (HR: 2.34; 95% CI, 1.36–4.03), exceeding the prognosis value of individual BC parameters.

Conclusion

BC phenotypes derived from SAT index and SM density provide superior risk stratification for 2-year RFS compared with individual BC parameters in male patients after HCC resection.