基于机器学习的NOS肉瘤患者手术治疗预后因素识别。

IF 1.5 Q3 SURGERY
Plastic and Reconstructive Surgery Global Open Pub Date : 2025-04-02 eCollection Date: 2025-04-01 DOI:10.1097/GOX.0000000000006653
Christoph Wallner, Sonja V Schmidt, Felix Reinkemeier, Marius Drysch, Alexander Sogorski, Maxi von Glinski, Patrick Harenberg, Mustafa Becerikli, Marcus Lehnhardt, Ingo Stricker, Mehran Dadras, Flemming Puscz
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引用次数: 0

摘要

背景:NOS肉瘤(non - otherspecified sarcoma, non - otherspecified)是一种多样化且诊断上具有挑战性的间充质恶性肿瘤,由于其多变的临床轨迹和治疗反应,给临床带来了重大难题。本研究利用先进的机器学习技术,即分类和回归树和Shapley加性解释(SHAP)值,在一个明确定义的患者队列中识别生存、转移进展和复发的预测因素,旨在改善风险分层和个性化护理策略。方法:通过分类回归树和SHAP值对122例NOS肉瘤患者进行队列分析,确定影响疾病结局的关键因素。结果:年龄和肿瘤直径显著影响转移的发生,而体重指数和肿瘤分级是复发的关键预测因素。此外,肿瘤大小、位置和年龄被确定为影响NOS肉瘤患者总生存率的因素。这些结果具有直接的临床相关性,可以帮助在这一具有挑战性的患者群体的风险分层和手术计划。结论:考虑到机器学习算法训练的相对较小的队列,本研究强调了考虑年龄、肿瘤大小、位置、体重指数和肿瘤分级在NOS肉瘤管理中的重要性,揭示了可能影响临床结果的因素,并指导个性化治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning-based Identification of Prognostic Factors for Surgical Management in Patients With NOS Sarcoma.

Background: Non-otherwise specified (NOS) sarcomas, a diverse and diagnostically challenging group of mesenchymal malignancies, pose significant clinical dilemmas due to their variable clinical trajectories and therapeutic responses. This study utilizes advanced machine learning techniques, namely classification and regression trees and Shapley additive explanation (SHAP) values, to identify predictors of survival, metastatic progression, and recurrence within a well-defined patient cohort, aiming to improve risk stratification and individualized care strategies.

Methods: Through the application of classification and regression trees and SHAP values to a cohort of 122 patients with NOS sarcoma, we identified critical factors impacting disease outcomes.

Results: The study findings revealed that age and tumor diameter significantly influenced the development of metastasis, whereas body mass index and tumor grading were key predictors for relapse. Additionally, tumor size, location, and age were identified as influential factors for overall survival in patients with NOS sarcoma. These results have direct clinical relevance and can aid in risk stratification and surgical planning in this challenging patient population.

Conclusions: Considering the comparatively small cohort with which the machine learning algorithm was trained, this study underscores the importance of considering age, tumor size, location, body mass index, and tumor grading in the management of NOS sarcomas, shedding light on factors that may impact clinical outcomes and guide personalized treatment strategies.

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来源期刊
CiteScore
2.20
自引率
13.30%
发文量
1584
审稿时长
10 weeks
期刊介绍: Plastic and Reconstructive Surgery—Global Open is an open access, peer reviewed, international journal focusing on global plastic and reconstructive surgery.Plastic and Reconstructive Surgery—Global Open publishes on all areas of plastic and reconstructive surgery, including basic science/experimental studies pertinent to the field and also clinical articles on such topics as: breast reconstruction, head and neck surgery, pediatric and craniofacial surgery, hand and microsurgery, wound healing, and cosmetic and aesthetic surgery. Clinical studies, experimental articles, ideas and innovations, and techniques and case reports are all welcome article types. Manuscript submission is open to all surgeons, researchers, and other health care providers world-wide who wish to communicate their research results on topics related to plastic and reconstructive surgery. Furthermore, Plastic and Reconstructive Surgery—Global Open, a complimentary journal to Plastic and Reconstructive Surgery, provides an open access venue for the publication of those research studies sponsored by private and public funding agencies that require open access publication of study results. Its mission is to disseminate high quality, peer reviewed research in plastic and reconstructive surgery to the widest possible global audience, through an open access platform. As an open access journal, Plastic and Reconstructive Surgery—Global Open offers its content for free to any viewer. Authors of articles retain their copyright to the materials published. Additionally, Plastic and Reconstructive Surgery—Global Open provides rapid review and publication of accepted papers.
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