Comparison of the IPSA and HIPO algorithms for interstitial tongue high-dose-rate brachytherapy

• Published in: PloS one 2018-10, Vol.13 (10), p.e0205229-e0205229
• Main Authors: Choi, Chang Heon, Park, So-Yeon, Park, Jong Min, Wu, Hong-Gyun, Kim, Jin-Ho, Kim, Jung-In
• Format: Article
• Language: English
• Subjects: Algorithms; Biology and Life Sciences; Biomedical research; Brachytherapy; Cancer; Cervical cancer; Comparative analysis; Computer and Information Sciences; Computer simulation; Drug dosages; Dwell time; Engineering and Technology; Medical instruments; Medical research; Medicine; Medicine and Health Sciences; Oncology; Optimization; Optimization techniques; Oral cancer; Parameters; Patients; Physical Sciences; Prostate; Radiation dosage; Radiation therapy; Research and Analysis Methods; Simulated annealing; Stochasticity; Tongue; Transplants & implants
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0205229

This study aimed to compare the inverse planning simulated annealing (IPSA) stochastic algorithm with the hybrid inverse planning and optimization (HIPO) algorithm for interstitial tongue high-dose-rate (HDR) brachytherapy. Twenty patients who received radiotherapy for tongue cancer using interstitial HDR brachytherapy were retrospectively selected for this study. Oncentra Brachy v. 4.3 was used for IPSA and HIPO planning. Four to eight fixed catheter configurations were determined according to the target shape. During the optimization process, predetermined constrain values were used for each IPSA and HIPO plan. The dosimetric parameters and dwell time were analyzed to evaluate the performances of the plans. The total dwell time using IPSA was 4 seconds longer than that of HIPO. The number of active positions per catheter for the IPSA plans were approximately 2.5 fewer than those of the HIPO plans. The dose-volumetric parameters related to the clinical target volume with IPSA were lower than those with HIPO. In terms of the dose-volumetric parameters related to normal tissue, HIPO tended to associate with slightly higher values than IPSA, without statistical significance. After GrO, the target coverages were satisfied to clinical goal for all patients. The total dwell times was approximately increased by 10%. The IPSA and HIPO dose optimization algorithms generate similar dosimetric results. In terms of the dwell time, HIPO appears to be more beneficial.