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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer
Radiotherapy and Oncology, Volume 112, No. 3, Year 2014
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Description
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. © 2014 Elsevier Ireland Ltd. All rights reserved.
Authors & Co-Authors
Walker, Gary V.
United States, Houston
The University of Texas Md Anderson Cancer Center
United States, Austin
University of Texas System
Awan, Musaddiq J.
United States, Houston
The University of Texas Md Anderson Cancer Center
Tao, Randa
United States, Houston
The University of Texas Md Anderson Cancer Center
Koay, Eugene Jon
United States, Houston
The University of Texas Md Anderson Cancer Center
Gunn, G. Brandon
United States, Houston
The University of Texas Md Anderson Cancer Center
Garden, Adam Seth
United States, Houston
The University of Texas Md Anderson Cancer Center
Phan, Jack
United States, Houston
The University of Texas Md Anderson Cancer Center
Morrison, William H.
United States, Houston
The University of Texas Md Anderson Cancer Center
Rosenthal, David I.
United States, Houston
The University of Texas Md Anderson Cancer Center
Mohamed, Abdallah Sherif Radwan
United States, Houston
The University of Texas Md Anderson Cancer Center
Fuller, Clifton David
United States, Houston
The University of Texas Md Anderson Cancer Center
United States, Houston
University of Texas Health Science Center at Houston
Statistics
Citations: 94
Authors: 11
Affiliations: 3
Identifiers
Doi:
10.1016/j.radonc.2014.08.028
ISSN:
01678140
Research Areas
Cancer
Disability
Study Design
Cohort Study