Journal article
A prospective in silico analysis of interdisciplinary and interobserver spatial variability in post-operative target delineation of high-risk oral cavity cancers: Does physician specialty matter?
Clinical and translational radiation oncology, Vol.12, pp.40-46
08/2018
DOI: 10.1016/j.ctro.2018.07.006
PMCID: PMC6105928
PMID: 30148217
Abstract
The aim of this study was to determine the interdisciplinary agreement in identifying the post-operative tumor bed.
Three radiation oncologists (ROs), four surgeons, and three radiologists segmented post-operative tumor and nodal beds for three patients with oral cavity cancer. Specialty cohort composite contours were created by STAPLE algorithm implementation results for interspecialty comparison. Dice similarity coefficient and Hausdorff distance were utilized to compare spatial differentials between specialties.
There were significant differences between disciplines in target delineation. There was unacceptable variation in Dice similarity coefficient for each observer and discipline when compared to the STAPLE contours. Within surgery and radiology disciplines, there was good consistency in volumes. ROs and radiologists have similar Dice similarity coefficient scores compared to surgeons.
There were significant interdisciplinary differences in perceptions of tissue-at-risk. Better communication and explicit description of at-risk areas between disciplines is required to ensure high-risk areas are adequately targeted.
Details
- Title: Subtitle
- A prospective in silico analysis of interdisciplinary and interobserver spatial variability in post-operative target delineation of high-risk oral cavity cancers: Does physician specialty matter?
- Creators
- Sweet Ping Ng - The University of Texas MD Anderson Cancer CenterBrandon A Dyer - University of California, DavisJayashree Kalpathy-Cramer - Massachusetts General HospitalAbdallah Sherif Radwan Mohamed - The University of Texas MD Anderson Cancer CenterMusaddiq J Awan - Case Western Reserve UniversityG. Brandon Gunn - The University of Texas MD Anderson Cancer CenterJack Phan - The University of Texas MD Anderson Cancer CenterMark Zafereo - The University of Texas MD Anderson Cancer CenterJ. Matthew Debnam - The University of Texas MD Anderson Cancer CenterCarol M Lewis - The University of Texas MD Anderson Cancer CenterRivka R Colen - The University of Texas MD Anderson Cancer CenterMichael E Kupferman - The University of Texas MD Anderson Cancer CenterNandita Guha-Thakurta - The University of Texas MD Anderson Cancer CenterGuadalupe Canahuate - University of IowaG. Elisabeta Marai - University of Illinois ChicagoDavid Vock - University of MinnesotaBronwyn Hamilton - Oregon Health & Science UniversityJohn Holland - Oregon Health & Science UniversityCarlos E Cardenas - The University of Texas MD Anderson Cancer CenterStephen Lai - The University of Texas MD Anderson Cancer CenterDavid Rosenthal - The University of Texas MD Anderson Cancer CenterClifton David Fuller - The University of Texas MD Anderson Cancer Center
- Resource Type
- Journal article
- Publication Details
- Clinical and translational radiation oncology, Vol.12, pp.40-46
- DOI
- 10.1016/j.ctro.2018.07.006
- PMID
- 30148217
- PMCID
- PMC6105928
- NLM abbreviation
- Clin Transl Radiat Oncol
- ISSN
- 2405-6308
- eISSN
- 2405-6308
- Publisher
- Elsevier B.V
- Language
- English
- Date published
- 08/2018
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197346302771
Metrics
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