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斯卡恩试验1中基于图谱的早期乳腺癌局部区域放射治疗自动分割的剂量学评估：一项多机构研究。

Dosimetric assessment of an Atlas based automated segmentation for loco-regional radiation therapy of early breast cancer in the Skagen Trial 1: A multi-institutional study.

作者信息

Eldesoky Ahmed R, Francolini Giulio, Thomsen Mette S, Yates Esben S, Nyeng Tine B, Kirkove Carine, Kamby Claus, Blix Egil S, Nielsen Mette H, Taheri-Kadkhoda Zahra, Berg Martin, Offersen Birgitte V

机构信息

Department of Oncology, Aarhus University Hospital, Norrebrogade 44, DK-8000 Aarhus C, Denmark.

Department of Clinical Oncology and Nuclear Medicine, Mansoura University, 60 Elgomhoria st, Mansoura, Egypt.

出版信息

Clin Transl Radiat Oncol. 2017 Feb 6;2:36-40. doi: 10.1016/j.ctro.2017.01.004. eCollection 2017 Feb.

DOI:10.1016/j.ctro.2017.01.004
PMID:29657998
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5893527/
Abstract

The effect of Atlas-based automated segmentation (ABAS) on dose volume histogram (DVH) parameters compared to manual segmentation (MS) in loco-regional radiotherapy (RT) of early breast cancer was investigated in patients included in the Skagen Trial 1. This analysis supports implementation of ABAS in clinical practice and multi-institutional trials.

摘要

在斯卡恩试验1纳入的患者中，研究了基于图谱的自动分割（ABAS）与手动分割（MS）相比，对早期乳腺癌局部区域放疗（RT）中剂量体积直方图（DVH）参数的影响。该分析支持在临床实践和多机构试验中采用ABAS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115c/5893527/01d053d6347c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115c/5893527/01d053d6347c/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/115c/5893527/01d053d6347c/gr1.jpg

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