Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer

Medical Physics
Albert K Hoang DucSebastien Ourselin

Abstract

The aim of this study was to assess whether clinically acceptable segmentations of organs at risk (OARs) in head and neck cancer can be obtained automatically and efficiently using the novel "similarity and truth estimation for propagated segmentations" (STEPS) compared to the traditional "simultaneous truth and performance level estimation" (STAPLE) algorithm. First, 6 OARs were contoured by 2 radiation oncologists in a dataset of 100 patients with head and neck cancer on planning computed tomography images. Each image in the dataset was then automatically segmented with STAPLE and STEPS using those manual contours. Dice similarity coefficient (DSC) was then used to compare the accuracy of these automatic methods. Second, in a blind experiment, three separate and distinct trained physicians graded manual and automatic segmentations into one of the following three grades: clinically acceptable as determined by universal delineation guidelines (grade A), reasonably acceptable for clinical practice upon manual editing (grade B), and not acceptable (grade C). Finally, STEPS segmentations graded B were selected and one of the physicians manually edited them to grade A. Editing time was recorded. Significant improvements in DSC can ...Continue Reading

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Citations

Apr 12, 2019·Frontiers in Oncology·Paul GiraudJean-Emmanuel Bibault
Jan 19, 2018·Technology in Cancer Research & Treatment·Nicolas MeillanPhilippe Giraud
Apr 30, 2017·Radiation Oncology·A FogliataL Cozzi
Mar 23, 2021·Evidence-based Complementary and Alternative Medicine : ECAM·Cong LiuXinye Ni
Oct 12, 2020·Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology·Jan UnkelbachEliana Vasquez Osorio
Jun 3, 2021·Journal of Personalized Medicine·Bingjiang QiuPeter M A van Ooijen

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