Literature DB >> 25216572

Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer.

Gary V Walker1, Musaddiq Awan2, Randa Tao2, Eugene J Koay2, Nicholas S Boehling2, Jonathan D Grant2, Dean F Sittig3, Gary Brandon Gunn2, Adam S Garden2, Jack Phan2, William H Morrison2, David I Rosenthal2, Abdallah Sherif Radwan Mohamed2, Clifton David Fuller4.   

Abstract

BACKGROUND AND
PURPOSE: Target volumes and organs-at-risk (OARs) for radiotherapy (RT) planning are manually defined, which is a tedious and inaccurate process. We sought to assess the feasibility, time reduction, and acceptability of an atlas-based autosegmentation (AS) compared to manual segmentation (MS) of OARs.
MATERIALS AND METHODS: A commercial platform generated 16 OARs. Resident physicians were randomly assigned to modify AS OAR (AS+R) or to draw MS OAR followed by attending physician correction. Dice similarity coefficient (DSC) was used to measure overlap between groups compared with attending approved OARs (DSC=1 means perfect overlap). 40 cases were segmented.
RESULTS: Mean ± SD segmentation time in the AS+R group was 19.7 ± 8.0 min, compared to 28.5 ± 8.0 min in the MS cohort, amounting to a 30.9% time reduction (Wilcoxon p<0.01). For each OAR, AS DSC was statistically different from both AS+R and MS ROIs (all Steel-Dwass p<0.01) except the spinal cord and the mandible, suggesting oversight of AS/MS processes is required; AS+R and MS DSCs were non-different. AS compared to attending approved OAR DSCs varied considerably, with a chiasm mean ± SD DSC of 0.37 ± 0.32 and brainstem of 0.97 ± 0.03.
CONCLUSIONS: Autosegmentation provides a time savings in head and neck regions of interest generation. However, attending physician approval remains vital.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Atlas-based autosegmentation; Autocontouring; Automatic segmentation; Head and neck; Normal tissue; Organs-at-risk

Mesh:

Year:  2014        PMID: 25216572      PMCID: PMC4252740          DOI: 10.1016/j.radonc.2014.08.028

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  25 in total

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