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图像引导下肾肿块消融:生成高质量证据面临的挑战及未来方向

Image-Guided Ablation of Renal Masses: Challenges to Produce High-Quality Evidence and Future Directions.

作者信息

Chan Vinson Wai-Shun, Ng Helen Hoi-Lam, Wah Tze Min

机构信息

Faculty of Medicine and Health, Leeds Institute of Medical Research at St. James's University Hospital, University of Leeds, Leeds, United Kingdom.

Division of Diagnostic and Interventional Radiology, Institute of Oncology, St. James's University Hospital, Leeds, United Kingdom.

出版信息

Semin Intervent Radiol. 2024 Jul 10;41(2):144-153. doi: 10.1055/s-0044-1787163. eCollection 2024 Apr.

Abstract

Image-guided ablation (IGA) is a rapidly developing field in interventional oncology. There is some evidence suggesting IGA's non-inferiority compared with partial or radical nephrectomy for the treatment of small renal masses (SRM). However, these are mostly limited to retrospective cohort studies. This review article outlines the evidence comparing IGA to partial nephrectomy by collating the different survival measures and evaluates the challenges of producing clinical trials and high-quality evidence. The main challenges are due to the heterogeneity of SRM, patient selection bias, unstandardized endpoint and outcomes, and the lack of global practice standards. Despite the evidence thus far demonstrating that IGA stands as a non-inferior treatment modality for SRMs, exhibiting favorable short- and long-term outcomes, further robust research is needed to integrate ablation techniques into routine clinical practice with a multidisciplinary approach. There is emerging evidence that suggests randomized controlled trial in SRMs is possible, and technologies such as histotripsy as well as artificial intelligence are used in IGA.

摘要

图像引导消融(IGA)是介入肿瘤学中一个快速发展的领域。有一些证据表明,在治疗小肾肿块(SRM)方面,IGA与部分或根治性肾切除术相比并不逊色。然而,这些大多限于回顾性队列研究。这篇综述文章通过整理不同的生存指标,概述了比较IGA与部分肾切除术的证据,并评估了开展临床试验和高质量证据所面临的挑战。主要挑战源于SRM的异质性、患者选择偏倚、未标准化的终点和结果,以及缺乏全球实践标准。尽管目前的证据表明IGA是SRM的一种非劣效治疗方式,具有良好的短期和长期结果,但仍需要进一步强有力的研究,以多学科方法将消融技术纳入常规临床实践。有新证据表明,在SRM中进行随机对照试验是可行的,并且IGA中使用了如组织粉碎术以及人工智能等技术。

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