title: Patient performance-based plan parameter optimization for prostate cancer in tomotherapy.
abstract: The purpose of this study is to evaluate the influence of treatment-planning parameters on the quality of treatment plans in tomotherapy and to find the optimized planning parameter combinations when treating patients with prostate cancer under different performances. A total of 3 patients with prostate cancer with Eastern Cooperative Oncology Group (ECOG) performance status of 2 or 3 were included in this study. For each patient, 27 treatment plans were created using a combination of planning parameters (field width of 1, 2.5, and 5cm; pitch of 0.172, 0.287, and 0.43; and modulation factor of 1.8, 3, and 3.5). Then, plans were analyzed using several dosimetrical indices: the prescription isodose to target volume (PITV) ratio, homogeneity index (HI), conformity index (CI), target coverage index (TCI), modified dose HI (MHI), conformity number (CN), and quality factor (QF). Furthermore, dose-volume histogram of critical structures and critical organ scoring index (COSI) were used to analyze organs at risk (OAR) sparing. Interestingly, treatment plans with a field width of 1cm showed more favorable results than others in the planning target volume (PTV) and OAR indices. However, the treatment time of the 1-cm field width was 3 times longer than that of plans with a field width of 5cm. There was no substantial decrease in treatment time when the pitch was increased from 0.172 to 0.43, but the PTV indices were slightly compromised. As expected, field width had the most significant influence on all of the indices including PTV, OAR, and treatment time. For the patients with good performance who can tolerate a longer treatment time, we suggest a field width of 1cm, pitch of 0.172, and modulation factor of 1.8; for the patients with poor performance status, field width of 5cm, pitch of 0.287, and a modulation factor of 3.5 should be considered.
authors: Department of Radiation Oncology, College of Medicine, Korea University, Seoul, Korea.
authors: Yuan Jie
authors: YJ
authors: Cao
authors: Department of Radiation Oncology, College of Medicine, Korea University, Seoul, Korea. Electronic address: sukmp@korea.ac.kr.
authors: Suk
authors: S
authors: Lee
authors: Department of Radiation Oncology, College of Medicine, Korea University, Seoul, Korea.
authors: Kyung Hwan
authors: KH
authors: Chang
authors: Department of Radiation Oncology, College of Medicine, Korea University, Seoul, Korea.
authors: Jang Bo
authors: JB
authors: Shim
authors: Department of Radiation Oncology, College of Medicine, Korea University, Seoul, Korea.
authors: Kwang Hyeon
authors: KH
authors: Kim
authors: Department of Radiation Oncology, College of Medicine, Korea University, Seoul, Korea.
authors: Young Je
authors: YJ
authors: Park
authors: Department of Radiation Oncology, College of Medicine, Korea University, Seoul, Korea.
authors: Chul Yong
authors: CY
authors: Kim
mesh_terms: D000230:Adenocarcinoma / Q000532:radiotherapy*; D000368:Aged; D006801:Humans; D008297:Male; D057285:Precision Medicine; D011471:Prostatic Neoplasms / Q000532:radiotherapy*; D011880:Radiotherapy Planning, Computer-Assisted; D050397:Radiotherapy, Intensity-Modulated
keywords: Dose-volume histogram; Dosimetrical index; Plan optimization; Tomotherapy; Treatment plan parameters