Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, TX, 77030, Houston, USA.
Cardiovasc Intervent Radiol. 2022 Dec;45(12):1860-1867. doi: 10.1007/s00270-022-03255-3. Epub 2022 Sep 4.
This study aims to evaluate the intra-procedural use of a novel ablation confirmation (AC) method, consisting of biomechanical deformable image registration incorporating AI-based auto-segmentation, and its impact on tumor coverage by quantitative three-dimensional minimal ablative margin (MAM) CT-generated assessment.
This single-center, randomized, phase II, intent-to-treat trial is enrolling 100 subjects with primary and secondary liver tumors (≤ 3 tumors, 1-5 cm in diameter) undergoing microwave or radiofrequency ablation with a goal of achieving ≥ 5 mm MAM. For the experimental arm, the proposed novel AC method is utilized for ablation applicator(s) placement verification and MAM assessment. For the control arm, the same variables are assessed by visual inspection and anatomical landmarks-based quantitative measurements aided by co-registration of pre- and post-ablation contrast-enhanced CT images. The primary objective is to evaluate the impact of the proposed AC method on the MAM. Secondary objectives are 2-year LTP-free survival, complication rates, quality of life, liver function, other oncological outcomes, and impact of AC method on procedure workflow.
The COVER-ALL trial will provide information on the role of a biomechanical deformable image registration-based ablation confirmation method incorporating AI-based auto-segmentation for improving MAM, which might translate in improvements of liver ablation efficacy.
The COVER-ALL trial aims to provide information on the role of a novel intra-procedural AC method for improving MAM, which might translate in improvements of liver ablation efficacy.
ClinicalTrials.gov identifier: NCT04083378.
本研究旨在评估一种新的消融确认(AC)方法的术中应用效果,该方法由基于人工智能的自动分割的生物力学可变形图像配准组成,并通过定量三维最小消融边界(MAM)CT 生成评估来评估其对肿瘤覆盖范围的影响。
这是一项单中心、随机、二期、意向治疗试验,纳入了 100 名原发性和继发性肝肿瘤(≤3 个肿瘤,直径 1-5cm)患者,他们接受微波或射频消融治疗,目标是实现≥5mm 的 MAM。对于实验组,使用新提出的 AC 方法来验证消融应用程序的放置和 MAM 评估。对于对照组,通过视觉检查和解剖学标志物进行评估,并通过术前和术后增强 CT 图像的配准辅助进行定量测量。主要目标是评估所提出的 AC 方法对 MAM 的影响。次要目标是 2 年无局部肿瘤进展(LTP)生存率、并发症发生率、生活质量、肝功能、其他肿瘤学结果,以及 AC 方法对手术流程的影响。
COVER-ALL 试验将提供关于基于生物力学可变形图像配准的消融确认方法的信息,该方法包含基于人工智能的自动分割,用于改善 MAM,这可能会提高肝消融的疗效。
COVER-ALL 试验旨在提供关于一种新的术中 AC 方法在改善 MAM 方面的作用的信息,这可能会提高肝消融的疗效。
ClinicalTrials.gov 标识符:NCT04083378。