Knowledge-based model building for treatment planning for prostate cancer using commercial treatment planning quality assurance software tools

• Published in: Radiological physics and technology Vol. 17; no. 1; pp. 337 - 345
• Main Authors: Masumoto, Nagi, Sasaki, Motoharu, Nakaguchi, Yuji, Kamomae, Takeshi, Kanazawa, Yuki, Ikushima, Hitoshi
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.03.2024; Springer Nature B.V
• Subjects: Clinical Technique; Humans; Imaging; Male; Medical and Radiation Physics; Medicine; Medicine & Public Health; Nuclear Medicine; Organs at Risk; Prostatic Neoplasms - diagnostic imaging; Prostatic Neoplasms - radiotherapy; Quality assurance; Radiology; Radiotherapy; Radiotherapy Dosage; Radiotherapy Planning, Computer-Assisted - methods; Radiotherapy, Intensity-Modulated - methods; Software; Treatment planning quality; PlanIQ; RapidPlan
• ISSN: 1865-0333; 1865-0341
• DOI: 10.1007/s12194-023-00759-6

This study devised a method to efficiently launch the RapidPlan model for volumetric-modulated arc therapy for prostate cancer in small- and medium-sized facilities using high-quality treatment plans with the PlanIQ software as a reference. Treatment plans were generated for 30 patients with prostate cancer to construct the RapidPlan model using PlanIQ as a reference. In the context of PlanIQ-referenced treatment planning, treatment plans were developed, such that the feasibility dose–volume histogram of each organ-at-risk fell within F  ≤ 0.1. For validation of the RapidPlan model, treatment plans were formulated for 20 patients using both RapidPlan and PlanIQ, and the differences were evaluated. The results of RapidPlan model validity assessment revealed that the RapidPlan-produced treatment plans exhibited higher quality in 11 of 20 patients. No significant differences were found between the treatment plans. In conclusion, high-quality treatment plans formulated using PlanIQ as reference facilitated efficient implementation of RapidPlan modeling.