使用两种不同类型的输入轮廓对基于深度学习的头颈癌患者剂量预测进行评估

IF 2 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Masahide Saito, Noriyuki Kadoya, Yuto Kimura, Hikaru Nemoto, Ryota Tozuka, Keiichi Jingu, Hiroshi Onishi
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引用次数: 0

摘要

本研究评估了基于深度学习(DL)的头颈癌(HNC)患者剂量预测方法,该方法使用了两种输入轮廓。剂量预测使用 AIVOT 原型(AiRato.Inc,日本仙台)进行,这是一款基于 HD U 网的剂量分布预测系统的商业软件。为初始计划(46 Gy/23Fr)和增强计划(24 Gy/12Fr)开发了模型,用 65 个病例进行了训练,并用 10 个病例进行了测试。8 通道模型使用一个目标(PTV)和七个危险器官(OAR),而 10 通道模型增加了两个假轮廓(PTV 环和脊髓 PRV)。结果在初始计划中,两个模型对靶区剂量的预测准确率都达到了约 2%,对 OAR 的预测准确率都保持在 3.2 Gy 以内。在某些剂量指数上,10 通道模型优于 8 通道模型。在增强计划中,两种模型对目标剂量的预测准确率均为约 2%,对 OAR 的预测准确率均为 1 Gy。10 通道模型对 D50% 和 Dmean 的预测明显更接近地面实况。基于预测剂量的可交付计划与地面实况相比差异不大,尤其是在提升计划方面。虽然附加轮廓可提高预测准确性,但其对剂量模拟的影响相对较小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours

Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours

Purpose

This study evaluates deep learning (DL) based dose prediction methods in head and neck cancer (HNC) patients using two types of input contours.

Materials and methods

Seventy-five HNC patients undergoing two-step volumetric-modulated arc therapy were included. Dose prediction was performed using the AIVOT prototype (AiRato.Inc, Sendai, Japan), a commercial software with an HD U-net-based dose distribution prediction system. Models were developed for the initial plan (46 Gy/23Fr) and boost plan (24 Gy/12Fr), trained with 65 cases and tested with 10 cases. The 8-channel model used one target (PTV) and seven organs at risk (OARs), while the 10-channel model added two dummy contours (PTV ring and spinal cord PRV). Predicted and deliverable doses, obtained through dose mimicking on another radiation treatment planning system, were evaluated using dose-volume indices for PTV and OARs.

Results

For the initial plan, both models achieved approximately 2% prediction accuracy for the target dose and maintained accuracy within 3.2 Gy for OARs. The 10-channel model outperformed the 8-channel model for certain dose indices. For the boost plan, both models exhibited prediction accuracies of approximately 2% for the target dose and 1 Gy for OARs. The 10-channel model showed significantly closer predictions to the ground truth for D50% and Dmean. Deliverable plans based on prediction doses showed little significant difference compared to the ground truth, especially for the boost plan.

Conclusion

DL-based dose prediction using the AIVOT prototype software in HNC patients yielded promising results. While additional contours may enhance prediction accuracy, their impact on dose mimicking is relatively small.

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来源期刊
CiteScore
3.60
自引率
19.00%
发文量
331
审稿时长
3 months
期刊介绍: Journal of Applied Clinical Medical Physics is an international Open Access publication dedicated to clinical medical physics. JACMP welcomes original contributions dealing with all aspects of medical physics from scientists working in the clinical medical physics around the world. JACMP accepts only online submission. JACMP will publish: -Original Contributions: Peer-reviewed, investigations that represent new and significant contributions to the field. Recommended word count: up to 7500. -Review Articles: Reviews of major areas or sub-areas in the field of clinical medical physics. These articles may be of any length and are peer reviewed. -Technical Notes: These should be no longer than 3000 words, including key references. -Letters to the Editor: Comments on papers published in JACMP or on any other matters of interest to clinical medical physics. These should not be more than 1250 (including the literature) and their publication is only based on the decision of the editor, who occasionally asks experts on the merit of the contents. -Book Reviews: The editorial office solicits Book Reviews. -Announcements of Forthcoming Meetings: The Editor may provide notice of forthcoming meetings, course offerings, and other events relevant to clinical medical physics. -Parallel Opposed Editorial: We welcome topics relevant to clinical practice and medical physics profession. The contents can be controversial debate or opposed aspects of an issue. One author argues for the position and the other against. Each side of the debate contains an opening statement up to 800 words, followed by a rebuttal up to 500 words. Readers interested in participating in this series should contact the moderator with a proposed title and a short description of the topic
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