Evaluation of complexity and deliverability of IMRT treatment plans for breast cancer.

ABSTRACT: This study aimed to predict the outcome of patient specific quality assurance (PSQA) in IMRT for breast cancer using complexity metrics, such as MU factor, MAD, CAS, MCS. Several breast cancer plans were considered, including LBCS, RBCS, LBCM, RBCM, left breast, right breast and the whole breast for both Edge and TrueBeam LINACS. Dose verification was completed by Portal Dosimetry (PD). The receiver operating characteristic (ROC) curve was employed to determine whether the treatment plans pass or failed. The area under the curve (AUC) was used to assess the classification performance. The correlation of PSQA and complexity metrics was examined using Spearman's rank correlation coefficient (R_s). For LINACS, the most suitable complexity metric was found to be the MU factor (Edge R

SUBMITTER: Duan L 

PROVIDER: S-EPMC10698170 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature