以外科手术为重点的转移性脊柱肿瘤多学科最新治疗模式:文献综述与人工智能作用评估

Cancers Pub Date : 2024-08-08 DOI:10.3390/cancers16162800
Rebecca Houston, Shivum Desai, Ariel Takayanagi, Christina Quynh Thu Tran, Ali Mortezaei, Alireza Oladaskari, Arman Sourani, Imran Siddiqi, Behnood Khodayari, Allen Ho, Omid Hariri
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引用次数: 0

摘要

多达 40% 的癌症患者会发生脊柱转移。在这些病例中,10%会出现症状。近年来,由于成像模式和肿瘤治疗方法的创新,脊柱转移瘤的报告发病率有所上升。随着脊柱转移发病率的上升,对改进治疗方法和治疗算法的需求也在增加,现在的治疗方法和治疗算法强调加强多学科协作,并越来越多地根据患者的具体情况量身定制。我们将讨论人工智能和 NGS 在脊柱转移瘤治疗中的潜在临床应用。材料与方法:我们在 PubMed 上搜索了 2000 年至 2023 年间发表的有关脊柱转移和医疗领域人工智能的文章。在筛选相关性后,本更新总结了每项研究的主要发现。结果:本综述总结了报告脊柱转移瘤治疗方法的研究证据,包括微创手术(MIS)、体外放射治疗(EBRT)、立体定向放射手术(SRS)、CFR-PEEK 仪器、射频消融(RFA)、新一代测序(NGS)、人工智能和预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multidisciplinary Update on Treatment Modalities for Metastatic Spinal Tumors with a Surgical Emphasis: A Literature Review and Evaluation of the Role of Artificial Intelligence
Spinal metastases occur in up to 40% of patients with cancer. Of these cases, 10% become symptomatic. The reported incidence of spinal metastases has increased in recent years due to innovations in imaging modalities and oncological treatments. As the incidence of spinal metastases rises, so does the demand for improved treatments and treatment algorithms, which now emphasize greater multidisciplinary collaboration and are increasingly customized per patient. Uniquely, we discuss the potential clinical applications of AI and NGS in the treatment of spinal metastases. Material and Methods: A PubMed search for articles published from 2000 to 2023 regarding spinal metastases and artificial intelligence in healthcare was completed. After screening for relevance, the key findings from each study were summarized in this update. Results: This review summarizes the evidence from studies reporting on treatment modalities for spinal metastases, including minimally invasive surgery (MIS), external beam radiation therapy (EBRT), stereotactic radiosurgery (SRS), CFR-PEEK instrumentation, radiofrequency ablation (RFA), next-generation sequencing (NGS), artificial intelligence, and predictive models.
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