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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?
Ng, Sweet Ping; Dyer, Brandon A; Kalpathy-Cramer, Jayashree; Mohamed, Abdallah Sherif Radwan; Awan, Musaddiq J; Gunn, G Brandon; Phan, Jack; Zafereo, Mark; Debnam, J Matthew; Lewis, Carol M; Colen, Rivka R; Kupferman, Michael E; Guha-Thakurta, Nandita; Canahuate, Guadalupe; Marai, G Elisabeta; Vock, David; Hamilton, Bronwyn; Holland, John; Cardenas, Carlos E; Lai, Stephen; Rosenthal, David; Fuller, Clifton David.
Affiliation
  • Ng SP; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Dyer BA; Department of Radiation Oncology, UC Davis Comprehensive Cancer Center, Sacramento, California, USA.
  • Kalpathy-Cramer J; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
  • Mohamed ASR; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Awan MJ; Department of Radiation Oncology, Case Western Reserve University, Cleveland, Ohio, USA.
  • Gunn GB; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Phan J; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Zafereo M; Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Debnam JM; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Lewis CM; Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Colen RR; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Kupferman ME; Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Guha-Thakurta N; Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Canahuate G; Department of Electrical & Computer Engineering, University of Iowa, Iowa City, Iowa, USA.
  • Marai GE; Department of Computer Science, University of Illinois at Chicago, Chicago, Illinois, USA.
  • Vock D; Department of Biostatistics, University of Minnesota of Public Health, Minneapolis, Minnesota, USA.
  • Hamilton B; Department of Radiology, Oregon Health & Science University, Portland, Oregon, USA.
  • Holland J; Department of Radiation Oncology, Oregon Health & Science University, Portland, Oregon, USA.
  • Cardenas CE; Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Lai S; Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Rosenthal D; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Fuller CD; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Clin Transl Radiat Oncol ; 12: 40-46, 2018 Aug.
Article in En | MEDLINE | ID: mdl-30148217
BACKGROUND: The aim of this study was to determine the interdisciplinary agreement in identifying the post-operative tumor bed. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Clin Transl Radiat Oncol Year: 2018 Document type: Article Affiliation country: United States Country of publication: Ireland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Clin Transl Radiat Oncol Year: 2018 Document type: Article Affiliation country: United States Country of publication: Ireland