Operative Unit of Radiology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milan, Italy.
Center for Interventional Oncology, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
Technol Cancer Res Treat. 2023 Jan-Dec;22:15330338231181284. doi: 10.1177/15330338231181284.
Tumor ablation is included in several major cancer therapy guidelines. One technical challenge of percutaneous ablation is targeting and verification of complete treatment, which is prone to operator variabilities and human imperfections and are directly related to successful outcomes, risk for residual unablated tumor and local progression. The use of "Prediction Ablation Volume Software" may help the operating Interventional Radiologist to better plan, deliver, and verify before the ablation, via virtual treatment zones fused to target tumor. Fused and superimposed images provide 3-dimensional information from different timepoints, just when that information is most useful. The aim of this study is to evaluate the technical success and efficacy of an ablation treatment flowchart provided by a cone beam computed tomography (CBCT) "Prediction Ablation Volume Software." This is a single-center retrospective study. From April 2021 to January 2022, 29 nonconsecutive evaluable patients with 32 lesions underwent liver ablation with Prediction Ablation Volume Software. Each patient was discussed in a multidisciplinary tumor board and underwent an enhanced computed tomography or magnetic resonance imaging approximately 1 month before the procedure, as well as ∼1 month after. Technical success was defined as treatment of the tumor according to the protocol, covered completely by the Prediction Ablation Volume. Technical efficacy was defined as assessment of complete ablation of the target tumor at imaging follow up (∼1 month). Technical success, technical efficacy, and procedural factors were studied. Technical success was achieved in 30 of 32 liver lesions (94%), measuring 20 mm mean maximum diameter. The antenna was repositioned in 16 of 30 (53%) evaluable target lesions. Residual tumor was detected at 1 month imaging follow up in only 4 of 30 (13%) of the treated lesion. Technical efficacy was of 87% in this retrospective description of our process. The implementation of a CBCT Prediction Ablation Volume Software and flowchart for the treatment of liver malignancies altered the procedure, and demonstrated high technical success and efficacy. Such tools are potentially useful for procedural prediction and verification of ablation.
肿瘤消融术被纳入多项主要癌症治疗指南中。经皮消融的一项技术挑战是定位和验证完全治疗,这容易受到操作人员的差异和人为缺陷的影响,并且与成功的结果、残留未消融肿瘤和局部进展的风险直接相关。使用“预测消融体积软件”可能有助于介入放射科医生在消融前更好地规划、传递和验证,通过融合到目标肿瘤的虚拟治疗区。融合和叠加图像提供了来自不同时间点的三维信息,而此时正是最有用的信息。本研究旨在评估锥形束计算机断层扫描(CBCT)“预测消融体积软件”提供的消融治疗流程图的技术成功和疗效。这是一项单中心回顾性研究。从 2021 年 4 月到 2022 年 1 月,32 个病灶的 29 例非连续可评估患者接受了 Prediction Ablation Volume Software 治疗。每个患者都在多学科肿瘤委员会进行了讨论,并在手术前大约 1 个月和手术后大约 1 个月进行了增强计算机断层扫描或磁共振成像检查。技术成功定义为根据方案治疗肿瘤,完全被 Prediction Ablation Volume 覆盖。技术疗效定义为在影像学随访(大约 1 个月)中评估目标肿瘤的完全消融。研究了技术成功、技术疗效和程序因素。32 个肝脏病变中的 30 个(94%)达到了技术成功,最大直径平均为 20mm。在 30 个可评估的目标病变中,有 16 个(53%)重新定位了天线。在仅有的 30 个治疗病变中,有 4 个(13%)在 1 个月的影像学随访中发现了残留肿瘤。在我们对这一过程的回顾性描述中,技术疗效为 87%。为治疗肝脏恶性肿瘤实施 CBCT Prediction Ablation Volume Software 和流程图改变了手术程序,并显示出很高的技术成功率和疗效。这些工具对于手术预测和消融验证可能是有用的。