Paolucci Iwan, Albuquerque Marques Silva Jessica, Lin Yuan-Mao, Shieh Alexander, Ierardi Anna Maria, Caraffiello Gianpaolo, Gazzera Carlo, Jones Kyle A, Fonio Paolo, Bale Reto, Brock Kristy K, Calandri Marco, Odisio Bruno C
Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Unit 1471, Houston, TX 77030.
Diagnostic and Interventional Radiology Department, IRCCS Cà Granda Fondazione Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy.
Radiol Imaging Cancer. 2025 May;7(3):e240293. doi: 10.1148/rycan.240293.
Percutaneous image-guided thermal ablation is an established local curative-intent treatment technique for the treatment of primary and secondary malignant liver tumors. Whereas margin assessment after surgical resection can be accomplished with microscopic examination of the resected specimen, margin assessment after percutaneous thermal ablation relies on cross-sectional imaging. The critical measure of technical success is the minimal ablative margin (MAM), defined as the minimum distance between the tumor and the edge of the ablation zone. Traditionally, the MAM has been assessed qualitatively using anatomic landmarks, which has suboptimal accuracy and reproducibility and is prone to operator bias. Consequently, specialized software-based methods have been developed to standardize and automate MAM quantification. In this review, the authors discuss the technical components of such methods, including image acquisition, segmentation, registration, and MAM computation, define the sources of measurement error, describe available software solutions in terms of image processing techniques and modes of integration, and outline the current clinical evidence, which strongly supports the use of such dedicated software. Finally, the authors discuss current logistical and financial barriers to widespread use of ablation confirmation methods as well as potential solutions. Ablation Techniques, CT, Image Postprocessing, Liver © RSNA, 2025.
经皮影像引导热消融是一种成熟的局部根治性治疗技术,用于治疗原发性和继发性肝脏恶性肿瘤。手术切除后的切缘评估可通过对切除标本进行显微镜检查来完成,而经皮热消融后的切缘评估则依赖于横断面成像。技术成功的关键指标是最小消融切缘(MAM),定义为肿瘤与消融区边缘之间的最小距离。传统上,MAM是使用解剖标志进行定性评估的,其准确性和可重复性欠佳,且容易出现操作者偏差。因此,已开发出基于专门软件的方法来规范和自动化MAM的量化。在本综述中,作者讨论了此类方法的技术组成部分,包括图像采集、分割、配准和MAM计算,确定了测量误差的来源,根据图像处理技术和集成模式描述了可用的软件解决方案,并概述了有力支持使用此类专用软件的当前临床证据。最后,作者讨论了当前消融确认方法广泛应用的后勤和财务障碍以及潜在的解决方案。 消融技术、CT、图像后处理、肝脏 © RSNA,2025年