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Automated gross tumor volume contour generation for large‐scale analysis of early‐stage lung cancer patients planned with 4D‐CT
Medical Physics ( IF 3.2 ) Pub Date : 2020-12-08 , DOI: 10.1002/mp.14644
Angela Davey 1 , Marcel Herk 1, 2 , Corinne Faivre‐Finn 1, 3 , Sean Brown 1, 3 , Alan McWilliam 1, 2
Affiliation  

Patients with early‐stage lung cancer undergoing stereotactic ablative radiotherapy receive four‐dimensional computed tomography (4D‐CT) for treatment planning. Often, an internal gross target volume (iGTV), which approximates the motion envelope of a tumor over the breathing cycle, is delineated without defining a gross tumor volume (GTV). However, the GTV volume and shape are important parameters for prognostic and dose modelling, and there is interest in radiomic features extracted from the GTV and surrounding tissue. We demonstrate and validate a method to generate the GTV from an iGTV contour to aid retrospective analysis on routine data.

中文翻译:

自动化的总肿瘤体积轮廓线生成可用于4D-CT计划的早期肺癌患者的大规模分析

接受立体定向消融放疗的早期肺癌患者接受了二维计算机断层扫描(4D-CT)进行治疗计划。通常,在不定义总肿瘤体积(GTV)的情况下,描绘了内部总目标体积(iGTV),其近似于呼吸周期中肿瘤的运动范围。然而,GTV的体积和形状是进行预后和剂量建模的重要参数,因此人们对从GTV和周围组织中提取的放射学特征感兴趣。我们演示并验证了一种从iGTV轮廓生成GTV的方法,以帮助对常规数据进行回顾性分析。
更新日期:2020-12-08
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