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Clinical Acceptability of Automated Radiation Treatment Planning for Head and Neck Cancer Using the Radiation Planning Assistant.
Olanrewaju, Adenike; Court, Laurence E; Zhang, Lifei; Naidoo, Komeela; Burger, Hester; Dalvie, Sameera; Wetter, Julie; Parkes, Jeannette; Trauernicht, Christoph J; McCarroll, Rachel E; Cardenas, Carlos; Peterson, Christine B; Benson, Kathryn R K; du Toit, Monique; van Reenen, Ricus; Beadle, Beth M.
Affiliation
  • Olanrewaju A; Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Court LE; Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Zhang L; Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Naidoo K; Department of Radiation Oncology, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
  • Burger H; Department of Radiation Oncology, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
  • Dalvie S; Department of Radiation Oncology, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
  • Wetter J; Department of Radiation Oncology, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
  • Parkes J; Department of Radiation Oncology, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
  • Trauernicht CJ; Department of Radiation Oncology, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
  • McCarroll RE; Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Cardenas C; Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Peterson CB; Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Benson KRK; Department of Radiation Oncology, Stanford University, Stanford, California.
  • du Toit M; Department of Radiation Oncology, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
  • van Reenen R; Department of Radiation Oncology, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
  • Beadle BM; Department of Radiation Oncology, Stanford University, Stanford, California. Electronic address: bbeadle@stanford.edu.
Pract Radiat Oncol ; 11(3): 177-184, 2021.
Article in En | MEDLINE | ID: mdl-33640315
ABSTRACT

PURPOSE:

Radiation treatment planning for head and neck cancer is a complex process with much variability; automated treatment planning is a promising option to improve plan quality and efficiency. This study compared radiation plans generated from a fully automated radiation treatment planning system to plans generated manually that had been clinically approved and delivered. METHODS AND MATERIALS The study cohort consisted of 50 patients treated by a specialized head and neck cancer team at a tertiary care center. An automated radiation treatment planning system, the Radiation Planning Assistant, was used to create autoplans for all patients using their original, approved contours. Common dose-volume histogram (DVH) criteria were used to compare the quality of autoplans to the clinical plans. Fourteen radiation oncologists, each from a different institution, then reviewed and compared the autoplans and clinical plans in a blinded fashion.

RESULTS:

Autoplans and clinical plans were very similar with regard to DVH metrics for coverage and critical structure constraints. Physician reviewers found both the clinical plans and autoplans acceptable for use; overall, 78% of the clinical plans and 88% of the autoplans were found to be usable as is (without any edits). When asked to choose which plan would be preferred for approval, 27% of physician reviewers selected the clinical plan, 47% selected the autoplan, 25% said both were equivalent, and 0% said neither. Hence, overall, 72% of physician reviewers believed the autoplan or either the clinical or autoplan was preferable.

CONCLUSIONS:

Automated radiation treatment planning creates consistent, clinically acceptable treatment plans that meet DVH criteria and are found to be appropriate on physician review.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy Planning, Computer-Assisted / Radiotherapy, Intensity-Modulated / Head and Neck Neoplasms Type of study: Etiology_studies Limits: Humans Language: En Journal: Pract Radiat Oncol Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy Planning, Computer-Assisted / Radiotherapy, Intensity-Modulated / Head and Neck Neoplasms Type of study: Etiology_studies Limits: Humans Language: En Journal: Pract Radiat Oncol Year: 2021 Document type: Article