A feasibility study of dosimetry for breast cancer radiotherapy based on body surface changes

IF 3.2 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Medical physics Pub Date : 2024-07-24 DOI:10.1002/mp.17331

Yongjin Deng, Minmin Qiu, Jiajian Zhong, Zhenhua Xiao, Yong Bao, Botian Huang

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引用次数: 0

Abstract

Background

The requirement for precise and effective delivery of the actual dose to the patient grows along with the complexity of breast cancer radiotherapy. Dosimetry during treatment has become a crucial component of guaranteeing the efficacy and security.

Purpose

To propose a dosimetry method during breast cancer radiotherapy based on body surface changes.

Methods

A total of 29 left breast cancer radiotherapy cases were retroactively retrieved from an earlier database for analysis. Non-rigid image registration and dose recalculation of the planning computed tomography (CT) referring to the Cone-beam computed tomography were performed to obtain dose changes. The study used 3D point cloud feature extraction to characterize body surface changes. Based on the correlation proof, a mapping model is developed between body surface changes and dose changes using neural network framework. The MSE metrics, the Euclidean distances of feature points and the 3D gamma pass rate metric were used to assess the prediction accuracy.

Results

A strong correlation exist between body surface changes and dose changes (first canonical correlation coefficient = 0.950). For the dose deformation field and dose amplitude difference in the test set, the MSE of the predicted and actual values were 0.136 pixels and 0.229 cGy, respectively. After deforming the planning dose into a deformed one, the feature points’ Euclidean distance between it and the recalculated dose changes from 9.267 ± 1.879 mm to 0.456 ± 0.374 mm. The 3D gamma pass rate of 90% or higher for the 2 mm/2% criteria were achieved by 80.8% of all cases, with a minimum pass rate of 75.9% and a maximum pass rate of 99.6%. Pass rate for the 3 mm/2% criteria ranged from 87.8% to 99.8%, with 92.3% of the cases having a pass rate of 90% or higher.

Conclusions

This study provides a dosimetry method that is non-invasive, real-time, and requires no additional dose for breast cancer radiotherapy.

查看原文本刊更多论文

基于体表变化的乳腺癌放射治疗剂量测定可行性研究。

背景：随着乳腺癌放射治疗的复杂化，对患者实际剂量的精确和有效传递的要求也越来越高。目的：提出一种基于体表变化的乳腺癌放疗剂量测量方法：方法：从早期的数据库中追溯分析了29例左侧乳腺癌放疗病例。方法：研究人员从早期数据库中检索了 29 例左乳腺癌放疗病例进行分析，并参照锥形束计算机断层扫描（Cone-beam computed tomography）对计划计算机断层扫描（CT）进行了非刚性图像注册和剂量重新计算，以获得剂量变化。研究使用三维点云特征提取来描述体表变化。根据相关性证明，利用神经网络框架建立了体表变化与剂量变化之间的映射模型。采用 MSE 指标、特征点的欧氏距离和三维伽马通过率指标来评估预测的准确性：结果：体表变化与剂量变化之间存在很强的相关性（第一卡农相关系数=0.950）。对于测试集中的剂量变形场和剂量幅差，预测值和实际值的 MSE 分别为 0.136 像素和 0.229 cGy。规划剂量变形后，特征点与重新计算剂量的欧氏距离从 9.267 ± 1.879 毫米变为 0.456 ± 0.374 毫米。80.8%的病例在 2 毫米/2%标准下的三维伽马通过率达到 90% 或以上，最低通过率为 75.9%，最高通过率为 99.6%。3毫米/2%标准的通过率在87.8%到99.8%之间，其中92.3%的病例通过率在90%或以上：这项研究为乳腺癌放射治疗提供了一种无创、实时、无需额外剂量的剂量测定方法。

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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来源期刊

Medical physics 医学-核医学

CiteScore

6.80

自引率

15.80%

发文量

660

审稿时长

1.7 months

期刊介绍： Medical Physics publishes original, high impact physics, imaging science, and engineering research that advances patient diagnosis and therapy through contributions in 1) Basic science developments with high potential for clinical translation 2) Clinical applications of cutting edge engineering and physics innovations 3) Broadly applicable and innovative clinical physics developments Medical Physics is a journal of global scope and reach. By publishing in Medical Physics your research will reach an international, multidisciplinary audience including practicing medical physicists as well as physics- and engineering based translational scientists. We work closely with authors of promising articles to improve their quality.