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影像诊断癌症相关性恶病质:利用临床影像模态进行早期诊断

Imaging Cancer-associated Cachexia: Utilizing Clinical Imaging Modalities for Early Diagnosis.

作者信息

Jiang Yang, Zhao Yufei, Dai Jingyue, Yang Qingwen, Tang Xingzhe, Fu Lin, Mao Hui, Peng Xin-Gui

机构信息

Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China.

Department of Internal Medicine, Ulm University & Ulm University Hospital, Ulm, Germany.

出版信息

Radiol Imaging Cancer. 2025 Jul;7(4):e240291. doi: 10.1148/rycan.240291.

DOI:10.1148/rycan.240291
PMID:40476859
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12304533/
Abstract

Cancer-associated cachexia (CAC) is a prevalent condition that accelerates cancer progression and heightens treatment-related adverse effects in patients by affecting multiple organ systems. Despite the profound impact of CAC on clinical management and treatment outcomes of patients with cancer, the current understanding of mechanisms associated with the condition, as well as the tools necessary for early diagnosis, are limited. Currently, the clinical diagnosis of CAC relies on weight change-based assessments, which have limited sensitivity and cannot identify patients at risk for CAC. In this context, noninvasive imaging-based biomarkers, such as the composition and properties of adipose and muscle tissues, may allow for diagnosis of CAC before substantial weight loss occurs. Such early detection can potentially enable more timely and effective interventions. Furthermore, imaging allows for quantitative assessment of CAC, enabling monitoring of prognosis and treatment response. This article reviews current applications and future developments of imaging techniques, particularly those employed in current clinical radiology, that can reveal diagnostic information and facilitate early detection of CAC and quantitative evaluation of associated metabolic alterations. Molecular Imaging, Cancer, MRI, PET/CT, Ultrasound, Muscular, Oncology © RSNA, 2025.

摘要

癌症相关性恶病质(CAC)是一种普遍存在的病症,它通过影响多个器官系统加速癌症进展,并加重患者与治疗相关的不良反应。尽管CAC对癌症患者的临床管理和治疗结果有深远影响,但目前对该病症相关机制的理解以及早期诊断所需的工具都很有限。目前,CAC的临床诊断依赖于基于体重变化的评估,其敏感性有限,无法识别有CAC风险的患者。在这种情况下,基于非侵入性成像的生物标志物,如脂肪和肌肉组织的组成和特性,可能有助于在体重显著减轻之前诊断CAC。这种早期检测可能使干预更加及时和有效。此外,成像可以对CAC进行定量评估,从而监测预后和治疗反应。本文综述了成像技术的当前应用和未来发展,特别是当前临床放射学中使用的那些技术,这些技术可以揭示诊断信息,促进CAC的早期检测以及对相关代谢改变的定量评估。分子成像、癌症、MRI、PET/CT、超声、肌肉、肿瘤学 © RSNA,2025年

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本文引用的文献

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Imaging Techniques to Determine Degree of Sarcopenia and Systemic Inflammation in Advanced Renal Cell Carcinoma.评估晚期肾细胞癌患者肌肉减少症和全身炎症程度的影像学技术。
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