Myosteatosis Is Associated With Overall Survival in Patients Receiving Pancreatectomy for Pancreatic Neuroendocrine Tumors

IF 1.6 4区医学 Q3 SURGERY

ANZ Journal of Surgery Pub Date : 2025-07-10 DOI:10.1111/ans.70222

Dan Jia, Xiaoding Shen, Ziyao Wang, Fan Yang, Nengwen Ke

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引用次数: 0

Abstract

Background

To investigate the association of myosteatosis with survival among patients receiving pancreatectomy for pNETs.

Methods

161 patients were enrolled in this retrospective cohort study. Myosteatosis was evaluated using the mean skeletal muscle attenuation with predefined cut-off values. The impact of potential risk factors on overall survival (OS) and disease-free survival (DFS) was assessed using the Kaplan–Meier method and the Cox proportional hazards model. A nomogram was constructed based on preoperative survival predictors, and its predictive performance was evaluated using the Receiver Operating Characteristic curve.

Results

Patients with myosteatosis exhibited significantly worse OS (p = 0.003) than those without myosteatosis. However, there was no statistically significant difference in DFS between patients with myosteatosis and those without myosteatosis (p = 0.663). In univariate and multivariate analysis, after adjusting for clinicopathological factors, myosteatosis remained an independent predictor of OS (hazard ratio: 4.65; 95% confidence interval: 1.35–15.96; p = 0.02). A nomogram model, incorporating age, myosteatosis, tumor grading, and N status, demonstrated strong performance in estimating OS.

Conclusion

Myosteatosis independently predicts OS in patients undergoing pancreatectomy for pNETs.

Abstract Image

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在接受胰腺神经内分泌肿瘤切除术的患者中，肌骨化病与总生存率相关。

背景：探讨接受胰腺切除术的pNETs患者中肌骨化病与生存的关系。方法：回顾性队列研究纳入161例患者。使用骨骼肌衰减的平均值和预定义的截止值来评估骨骼肌病。使用Kaplan-Meier法和Cox比例风险模型评估潜在危险因素对总生存期（OS）和无病生存期（DFS）的影响。基于术前生存预测因子构建nomogram，并使用Receiver Operating Characteristic curve评估其预测性能。结果：骨化症患者的OS明显低于无骨化症患者（p = 0.003）。而肌骨增生症患者与非肌骨增生症患者的DFS差异无统计学意义（p = 0.663）。在单因素和多因素分析中，在调整临床病理因素后，肌骨化病仍然是OS的独立预测因子(风险比：4.65；95%置信区间：1.35-15.96；p = 0.02)。结合年龄、骨骼肌病、肿瘤分级和N状态的nomogram模型在估计OS方面表现出色。结论：肌骨化病独立预测pNETs患者行胰腺切除术的OS。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ANZ Journal of Surgery 医学-外科

CiteScore

2.50

自引率

11.80%

发文量

720

审稿时长

2 months

期刊介绍： ANZ Journal of Surgery is published by Wiley on behalf of the Royal Australasian College of Surgeons to provide a medium for the publication of peer-reviewed original contributions related to clinical practice and/or research in all fields of surgery and related disciplines. It also provides a programme of continuing education for surgeons. All articles are peer-reviewed by at least two researchers expert in the field of the submitted paper.