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. (February 2017)

• Record Type: Journal Article
• Authors: 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.
• Is Part Of: Clinical and translational radiation oncology. Volume 2(2017)
• Page Start: 36
• Page End: 40
• Publication Date: 2017-02
• Subjects: Automated segmentation -- Early breast cancer -- Skagen Trial 1; Cancer -- Radiotherapy -- Periodicals; Oncology -- Periodicals; Cancer -- Radiotherapy; Oncology; Radiation Oncology; Neoplasms -- radiotherapy; Translational Medical Research; Periodicals; Electronic journals; Periodicals; 616.9940642
• DOI: 10.1016/j.ctro.2017.01.004
• Languages: English
• ISSNs: 2405-6308

Abstract

Highlights: 40 dose plans from the Skagen Trial 1 collected from Denmark, Belgium and Norway. Atlas-based automated segmentation of each CT scan was obtained using MIM Maestro™. DSC and difference in volume with manual segmentation were collected. HI, V95 and V90% measured on the two different segmentations were compared. Inter-observer variability was low and dose parameters were comparable. 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.