Suppr超能文献

预测骨转移中病理性骨折的风险。

Predicting the Risk for Pathological Fracture in Bone Metastases.

作者信息

Altsitzioglou Pavlos, Tsukamoto Shinji, Errani Costantino, Tanaka Yasuhito, Mavrogenis Andreas F

机构信息

First Department of Orthopaedics, National and Kapodistrian University of Athens, School of Medicine, 15562 Athens, Greece.

Department of Orthopaedic Surgery, Nara Medical University, Kashihara 634-8521, Japan.

出版信息

Curr Oncol. 2025 May 28;32(6):309. doi: 10.3390/curroncol32060309.

Abstract

Approximately 50-70% of patients with advanced cancer will experience bone metastases. The link between metastatic lesions and pathological bones is especially troubling since more metastases mean a higher chance of painful fractures, which can reduce mobility and often require surgery. Therefore, fracture risk predictions are essential for managing patients with bone metastases. However, the current methods for evaluating the risk of fractures are subjective, with low predictive value. This paper highlights how there being no effective comprehensive models for grouping patients by fracture risk due to skeletal metastases makes it harder to create personalized treatment plans; presents the methods currently used for objective evaluations of the pathological fracture risk in bone metastases; and discusses their pros and cons.

摘要

大约50%-70%的晚期癌症患者会发生骨转移。转移性病变与病理性骨骼之间的联系尤其令人担忧,因为转移灶越多意味着发生疼痛性骨折的几率越高,这会降低患者的活动能力,且常常需要进行手术。因此,骨折风险预测对于骨转移患者的管理至关重要。然而,目前评估骨折风险的方法主观性强,预测价值低。本文强调了由于缺乏有效的综合模型对骨转移导致骨折风险的患者进行分组,使得制定个性化治疗方案变得更加困难;介绍了目前用于客观评估骨转移病理性骨折风险的方法;并讨论了它们的优缺点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8590/12192531/4d97a6a114dd/curroncol-32-00309-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验