基于深度学习的宫颈癌术后近距离放疗CT图像间质针自动重建。

IF 1.1 4区 医学 Q4 ONCOLOGY Journal of Contemporary Brachytherapy Pub Date : 2023-04-01 DOI:10.5114/jcb.2023.126514
Hongling Xie, Jiahao Wang, Yuanyuan Chen, Yeqiang Tu, Yukai Chen, Yadong Zhao, Pengfei Zhou, Shichun Wang, Zhixin Bai, Qiu Tang
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引用次数: 0

摘要

目的:本研究的目的是探讨基于深度学习(DL)的自重建在宫颈癌术后近距离放射治疗(BT)中使用三维(3D)计算机断层扫描(CT)图像定位间质针的准确性。材料与方法:提出了一种卷积神经网络(CNN)用于间质针的自动重建。采用70例宫颈癌术后行ct - BT的患者数据对DL模型进行训练和检验。所有患者均用三根金属针治疗。采用骰子相似系数(DSC)、95% Hausdorff距离(95% HD)和Jaccard系数(JC)评价各针自动重建的几何精度。采用手动法和自动法的剂量-体积指数(Dose-volume index, DVI)分析剂量学差异。使用Spearman相关分析评估几何指标与剂量学差异之间的相关性。结果:三种金属针的dl模型DSC平均值分别为0.88、0.89和0.90。Wilcoxon sign -rank检验显示,人工和自动重建方法在所有BT规划结构上的剂量学差异无统计学意义(p > 0.05)。Spearman相关分析表明几何计量学与剂量学差异之间存在微弱联系。结论:基于dl的重建方法可用于3D-CT图像间质针的精确定位。该方法可提高宫颈癌术后近距离放疗方案的一致性。
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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Automatic reconstruction of interstitial needles using CT images in post-operative cervical cancer brachytherapy based on deep learning.

Purpose: The purpose of this study was to investigate the precision of deep learning (DL)-based auto-reconstruction in localizing interstitial needles in post-operative cervical cancer brachytherapy (BT) using three-dimensional (3D) computed tomography (CT) images.

Material and methods: A convolutional neural network (CNN) was developed and presented for automatic reconstruction of interstitial needles. Data of 70 post-operative cervical cancer patients who received CT-based BT were used to train and test this DL model. All patients were treated with three metallic needles. Dice similarity coefficient (DSC), 95% Hausdorff distance (95% HD), and Jaccard coefficient (JC) were applied to evaluate the geometric accuracy of auto-reconstruction for each needle. Dose-volume indexes (DVI) between manual and automatic methods were used to analyze the dosimetric difference. Correlation between geometric metrics and dosimetric difference was evaluated using Spearman correlation analysis.

Results: The mean DSC values of DL-based model were 0.88, 0.89, and 0.90 for three metallic needles. Wilcoxon signed-rank test indicated no significant dosimetric differences in all BT planning structures between manual and automatic reconstruction methods (p > 0.05). Spearman correlation analysis demonstrated weak link between geometric metrics and dosimetry differences.

Conclusions: DL-based reconstruction method can be used to precisely localize the interstitial needles in 3D-CT images. The proposed automatic approach could improve the consistency of treatment planning for post-operative cervical cancer brachytherapy.

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来源期刊
Journal of Contemporary Brachytherapy
Journal of Contemporary Brachytherapy ONCOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
2.40
自引率
14.30%
发文量
54
审稿时长
16 weeks
期刊介绍: The “Journal of Contemporary Brachytherapy” is an international and multidisciplinary journal that will publish papers of original research as well as reviews of articles. Main subjects of the journal include: clinical brachytherapy, combined modality treatment, advances in radiobiology, hyperthermia and tumour biology, as well as physical aspects relevant to brachytherapy, particularly in the field of imaging, dosimetry and radiation therapy planning. Original contributions will include experimental studies of combined modality treatment, tumor sensitization and normal tissue protection, molecular radiation biology, and clinical investigations of cancer treatment in brachytherapy. Another field of interest will be the educational part of the journal.
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