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Clinical acceptability of fully automated external beam radiotherapy for cervical cancer with three different beam delivery techniques.
Rhee, Dong Joo; Jhingran, Anuja; Huang, Kai; Netherton, Tucker J; Fakie, Nazia; White, Ingrid; Sherriff, Alicia; Cardenas, Carlos E; Zhang, Lifei; Prajapati, Surendra; Kry, Stephen F; Beadle, Beth M; Shaw, William; O'Reilly, Frederika; Parkes, Jeannette; Burger, Hester; Trauernicht, Chris; Simonds, Hannah; Court, Laurence E.
Afiliación
  • Rhee DJ; Medical Physics, The University of Texas Graduate School of Biomedical Sciences, at Houston, Houston, Texas, USA.
  • Jhingran A; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Huang K; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Netherton TJ; Medical Physics, The University of Texas Graduate School of Biomedical Sciences, at Houston, Houston, Texas, USA.
  • Fakie N; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • White I; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Sherriff A; Division of Radiation Oncology and Medical Physics, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa.
  • Cardenas CE; Radiotherapy Department, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Zhang L; Department of Oncology, University of the Free State, Bloemfontein, South Africa.
  • Prajapati S; Department of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Kry SF; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Beadle BM; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Shaw W; Department of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • O'Reilly F; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA.
  • Parkes J; Department of Medical Physics (G68), University of the Free State, Bloemfontein, South Africa.
  • Burger H; Department of Medical Physics (G68), University of the Free State, Bloemfontein, South Africa.
  • Trauernicht C; Division of Radiation Oncology and Medical Physics, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa.
  • Simonds H; Division of Radiation Oncology and Medical Physics, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa.
  • Court LE; Division of Medical Physics, Tygerberg Academic Hospital, Stellenbosch University, Cape Town, South Africa.
Med Phys ; 49(9): 5742-5751, 2022 Sep.
Article en En | MEDLINE | ID: mdl-35866442
ABSTRACT

PURPOSE:

To fully automate CT-based cervical cancer radiotherapy by automating contouring and planning for three different treatment techniques.

METHODS:

We automated three different radiotherapy planning techniques for locally advanced cervical cancer 2D 4-field-box (4-field-box), 3D conformal radiotherapy (3D-CRT), and volumetric modulated arc therapy (VMAT). These auto-planning algorithms were combined with a previously developed auto-contouring system. To improve the quality of the 4-field-box and 3D-CRT plans, we used an in-house, field-in-field (FIF) automation program. Thirty-five plans were generated for each technique on CT scans from multiple institutions and evaluated by five experienced radiation oncologists from three different countries. Every plan was reviewed by two of the five radiation oncologists and scored using a 5-point Likert scale.

RESULTS:

Overall, 87%, 99%, and 94% of the automatically generated plans were found to be clinically acceptable without modification for the 4-field-box, 3D-CRT, and VMAT plans, respectively. Some customizations of the FIF configuration were necessary on the basis of radiation oncologist preference. Additionally, in some cases, it was necessary to renormalize the plan after it was generated to satisfy radiation oncologist preference.

CONCLUSION:

Approximately, 90% of the automatically generated plans were clinically acceptable for all three planning techniques. This fully automated planning system has been implemented into the radiation planning assistant for further testing in resource-constrained radiotherapy departments in low- and middle-income countries.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias del Cuello Uterino / Radioterapia Conformacional / Radioterapia de Intensidad Modulada Tipo de estudio: Etiology_studies Límite: Female / Humans Idioma: En Revista: Med Phys Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias del Cuello Uterino / Radioterapia Conformacional / Radioterapia de Intensidad Modulada Tipo de estudio: Etiology_studies Límite: Female / Humans Idioma: En Revista: Med Phys Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos