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Evaluation of knowledge-based planning models for male pelvic CBCT-based online adaptive radiotherapy on conventional linear accelerators.
Tegtmeier, Riley C; Clouser, Edward L; Laughlin, Brady S; Santos Toesca, Diego A; Flakus, Mattison J; Bashir, Sara; Kutyreff, Christopher J; Hobbis, Dean; Harrington, Daniel P; Smetanick, Jennifer L; Yu, Nathan Y; Vargas, Carlos E; James, Sarah E; Rwigema, Jean-Claude M; Rong, Yi.
Afiliación
  • Tegtmeier RC; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Clouser EL; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Laughlin BS; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Santos Toesca DA; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Flakus MJ; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Bashir S; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Kutyreff CJ; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Hobbis D; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Harrington DP; Department of Radiation Oncology, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
  • Smetanick JL; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Yu NY; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Vargas CE; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • James SE; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Rwigema JM; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
  • Rong Y; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona, USA.
J Appl Clin Med Phys ; : e14464, 2024 Jul 19.
Article en En | MEDLINE | ID: mdl-39031902
ABSTRACT

PURPOSE:

To assess the practicality of employing a commercial knowledge-based planning tool (RapidPlan) to generate adapted intact prostate and prostate bed volumetric modulated arc therapy (VMAT) plans on iterative cone-beam computed tomography (iCBCT) datasets. METHODS AND MATERIALS Intact prostate and prostate bed RapidPlan models were trained utilizing planning data from 50 and 44 clinical cases, respectively. To ensure that refined models were capable of producing adequate clinical plans with a single optimization, models were tested with 50 clinical planning CT datasets by comparing dose-volume histogram (DVH) and plan quality metric (PQM) values between clinical and RapidPlan-generated plans. The RapidPlan tool was then used to retrospectively generate adapted VMAT plans on daily iCBCT images for 20 intact prostate and 15 prostate bed cases. As before, DVH and PQM metrics were utilized to dosimetrically compare scheduled (iCBCT Verify) and adapted (iCBCT RapidPlan) plans. Timing data was collected to further evaluate the feasibility of integrating this approach within an online adaptive radiotherapy workflow.

RESULTS:

Model testing results confirmed the models were capable of producing VMAT plans within a single optimization that were overall improved upon or dosimetrically comparable to original clinical plans. Direct application of RapidPlan on iCBCT datasets produced satisfactory intact prostate and prostate bed plans with generally improved target volume coverage/conformality and rectal sparing relative to iCBCT Verify plans as indicated by DVH values, though bladder metrics were marginally increased on average. Average PQM values for iCBCT RapidPlans were significantly improved compared to iCBCT Verify plans. The average time required [in mmss] to generate adapted plans was 0609 ± 0206 (intact) and 0712 ± 0104 (bed).

CONCLUSION:

This study demonstrated the feasibility of leveraging RapidPlan to expeditiously generate adapted VMAT intact prostate and prostate bed plans on iCBCT datasets. In general, adapted plans were dosimetrically improved relative to scheduled plans, emphasizing the practicality of the proposed approach.
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: J Appl Clin Med Phys Asunto de la revista: BIOFISICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: J Appl Clin Med Phys Asunto de la revista: BIOFISICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos