Predicting cachexia in hepatocellular carcinoma patients: a nomogram based on MRI features and body composition.

IF 1.1 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Acta radiologica Pub Date : 2024-08-01 Epub Date: 2024-07-25 DOI:10.1177/02841851241261703
Xin-Xiang Li, Bing Liu, Yu-Fei Zhao, Yang Jiang, Hui Mao, Xin-Gui Peng
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Abstract

Background: Approximately half of all patients with hepatocellular carcinoma (HCC) develop cachexia during the course of the disease. It is important to be able to predict which patients will develop cachexia at an early stage.

Purpose: To develop and validate a nomogram based on the magnetic resonance imaging (MRI) features of HCC and body composition for potentially predicting cachexia in patients with HCC.

Material and methods: A retrospective two-center study recruited the pretreatment clinical and MRI data of 411 patients with HCC undergoing abdominal MRI. The data were divided into three cohorts for development, internal validation, and external validation. Patients were followed up for six months after the MRI scan to record each patient's weight to diagnose cachexia. Logistic regression analyses were performed to identify independent variables associated with cachexia in the development cohort used to build the nomogram.

Results: The multivariable analysis suggested that the MRI parameters of tumor size > 5 cm (P = 0.001), intratumoral artery (P = 0.004), skeletal muscle index (P < 0.001), and subcutaneous fat area (P = 0.004) were independent predictors of cachexia in patients with HCC. The nomogram derived from these parameters in predicting cachexia reached an area under receiver operating characteristic curve of 0.819, 0.783, and 0.814 in the development, and internal and external validation cohorts, respectively.

Conclusion: The proposed multivariable nomogram suggested good performance in predicting the risk of cachexia in HCC patients.

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预测肝细胞癌患者的恶病质:基于磁共振成像特征和身体成分的提名图。
背景:大约一半的肝细胞癌(HCC)患者会在病程中出现恶病质。目的:根据 HCC 的磁共振成像(MRI)特征和身体成分,开发并验证一种可能预测 HCC 患者恶病质的提名图:一项双中心回顾性研究收集了411名接受腹部磁共振成像检查的HCC患者的治疗前临床和磁共振成像数据。这些数据被分为三组,分别用于开发、内部验证和外部验证。在 MRI 扫描后对患者进行为期 6 个月的随访,记录每位患者的体重,以诊断恶病质。在用于建立提名图的开发队列中,进行了逻辑回归分析,以确定与恶病质相关的独立变量:结果:多变量分析表明,肿瘤大小> 5 cm(P = 0.001)、瘤内动脉(P = 0.004)、骨骼肌指数(P = 0.004)等 MRI 参数是预测 HCC 患者恶病质的独立因素。根据这些参数推导出的预测恶病质的提名图在开发队列、内部和外部验证队列中的接收者操作特征曲线下面积分别为 0.819、0.783 和 0.814:结论:所提出的多变量提名图在预测 HCC 患者恶病质风险方面表现良好。
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来源期刊
Acta radiologica
Acta radiologica 医学-核医学
CiteScore
2.70
自引率
0.00%
发文量
170
审稿时长
3-8 weeks
期刊介绍: Acta Radiologica publishes articles on all aspects of radiology, from clinical radiology to experimental work. It is known for articles based on experimental work and contrast media research, giving priority to scientific original papers. The distinguished international editorial board also invite review articles, short communications and technical and instrumental notes.
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