Natalie Plant, Adam Mylonas, Chandrima Sengupta, Doan Trang Nguyen, Shona Silvester, David Pryor, Peter Greer, Yoo Young Dominique Lee, Prabhakar Ramachandran, Venkatakrishnan Seshadri, Yuvnik Trada, Richard Khor, Tim Wang, Nicholas Hardcastle, Paul Keall
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引用次数: 0
Abstract
Background: This observational study aims to establish the feasibility of using x-ray images of radio-opaque chemoembolisation deposits in patients as a method for real-time image-guided radiation therapy of hepatocellular carcinoma.
Methods: This study will recruit 50 hepatocellular carcinoma patients who have had or will have stereotactic ablative radiation therapy and have had transarterial chemoembolisation with a radio-opaque agent. X-ray and computed tomography images of the patients will be analysed retrospectively. Additionally, a deep learning method for real-time motion tracking will be developed. We hypothesise that: (i) deep learning software can be developed that will successfully track the contrast agent mass on two thirds of cone beam computed tomography (CBCT) projection and intra-treatment images (ii), the mean and standard deviation (mm) difference in the location of the mass between ground truth and deep learning detection are ≤ 2 mm and ≤ 3 mm respectively and (iii) statistical modelling of study data will predict tracking success in 85% of trial participants.
Discussion: Developing a real-time tracking method will enable increased targeting accuracy, without the need for additional invasive procedures to implant fiducial markers.
Trial registration: Registered to ClinicalTrials.gov (NCT05169177) 12th October 2021.
背景:本观察性研究旨在确定使用患者体内放射性不透明化疗栓塞沉积物的 X 射线图像作为肝细胞癌实时图像引导放射治疗方法的可行性:本研究将招募50名已经或即将接受立体定向消融放射治疗并使用不透明放射剂进行经动脉化疗栓塞的肝细胞癌患者。将对患者的 X 光和计算机断层扫描图像进行回顾性分析。此外,还将开发一种用于实时运动跟踪的深度学习方法。我们假设(i)开发的深度学习软件可以在三分之二的锥形束计算机断层扫描(CBCT)投影和治疗中图像上成功跟踪造影剂肿块;(ii)地面实况和深度学习检测之间肿块位置的平均值和标准偏差(毫米)分别为≤2毫米和≤3毫米;(iii)研究数据的统计建模可以预测85%的试验参与者跟踪成功:讨论:开发实时跟踪方法将提高靶向准确性,而无需额外的侵入性手术来植入靶标:2021年10月12日在ClinicalTrials.gov(NCT05169177)注册。
Radiation OncologyONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
6.50
自引率
2.80%
发文量
181
审稿时长
3-6 weeks
期刊介绍:
Radiation Oncology encompasses all aspects of research that impacts on the treatment of cancer using radiation. It publishes findings in molecular and cellular radiation biology, radiation physics, radiation technology, and clinical oncology.