A unified workflow for classifying patterns of locoregional failure using radiotherapy treatment planning dose distributions.

IF 2.1
BJR open Pub Date : 2025-05-03 eCollection Date: 2025-01-01 DOI:10.1093/bjro/tzaf007
Ceilidh Welsh, Karl Harrison, Sara Lightowlers, Ian Gleeson, Alfred J W Beard, Emma Harris, Gillian C Barnett, Rajesh Jena
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引用次数: 0

Abstract

Objectives: This work describes a unified workflow for classifying patterns of locoregional recurrence (LRR) using radiotherapy planning dose distributions. This approach aims to incorporate dose parameters into LRR classifications and facilitate application across different treatment sites and dose prescriptions to standardise classification terminology.

Methods: The relapse diagnostic CT (rCT) and manually delineated relapse gross tumour volume (rGTV) were co-registered with the radiotherapy planning CT (pCT) using deformable image registration (DIR). The DIR accuracy was quantified using the target registration error (TRE) using the absolute centroid distance between cancer site-specific regions of interest (ROIs). Dosimetric structures were delineated for planning regions receiving 95% of the dose prescribed to high-risk, intermediate-risk, and low-risk CTVs, relative to the cancer site or trial. The mapped rGTV was compared relative to each dose structure and classified into one of five categories: central and peripheral high-dose (Type A, Type B), central and peripheral elective-dose (Type C, Type D), and extraneous dose (Type E) failures.

Results: The unified workflow was successfully implemented on two different patient use cases, one from the IMPORT HIGH breast cancer trial, one from the VoxTox head-and-neck study, classifying LRR as Type A and Type E failures, respectively.

Conclusion: This workflow for classifying LRR is applicable across different cancer sites, despite differences in treatment protocol, target dose, and dose delivery. This provides a basis for utilising radiotherapy dose distributions to analyse patterns of failure irrespective of trial design or cancer-site.

Advances in knowledge: Standardised classifications of LRR that are correlated with the planning dose distribution could provide insight into the underlying causes of LRR burden post-radiotherapy and allow for critical evaluation of the current concepts of defined clinical tumour volumes and optimal PTV dose regions.

使用放射治疗计划剂量分布对局部失败模式进行分类的统一工作流程。
目的:本工作描述了一个统一的工作流程分类模式的局部复发(LRR)使用放疗计划剂量分布。该方法旨在将剂量参数纳入LRR分类,并促进不同治疗部位和剂量处方的应用,以标准化分类术语。方法:采用可变形图像配准(DIR)对复发诊断CT (rCT)和人工划定复发总肿瘤体积(rGTV)与放疗计划CT (pCT)进行共配准。DIR的准确性是用目标配准误差(TRE)来量化的,目标配准误差是用癌症特定部位感兴趣区域(roi)之间的绝对质心距离来量化的。相对于癌症部位或试验,规划区域接受95%的高危、中危和低危ctv规定剂量,并划定剂量学结构。将绘制的rGTV相对于每种剂量结构进行比较,并将其分为五类:中心和外周高剂量(A型、B型)、中心和外周选择剂量(C型、D型)和外剂量(E型)失效。结果:统一的工作流程在两个不同的患者用例中成功实施,一个来自IMPORT HIGH乳腺癌试验,一个来自VoxTox头颈部研究,分别将LRR分类为A型和E型失败。结论:尽管治疗方案、靶剂量和给药方式存在差异,但该LRR分类工作流程适用于不同的癌症部位。这为利用放射治疗剂量分布来分析失败模式提供了基础,而不考虑试验设计或癌症部位。知识进展:与计划剂量分布相关的LRR标准化分类可以深入了解放疗后LRR负担的潜在原因,并允许对当前定义临床肿瘤体积和最佳PTV剂量区域的概念进行批判性评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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