Radiobiological treatment planning evaluation of inverse planning simulated annealing for cervical cancer high-dose-rate brachytherapy.

Tomas Palmqvist, Lucílio Dos S Matias, Anne B L Marthinsen, Marit Sundset, Anne D Wanderås, Signe Danielsen, Iuliana Toma-Dasu
Author Information
  1. Tomas Palmqvist: Department of Medical Physics, Karolinska University Hospital, Stockholm, Sweden.
  2. Lucílio Dos S Matias: Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden Department of Physics, Eduardo Mondlane University, Maputo, Mozambique Lucilio.Matias@ki.se.
  3. Anne B L Marthinsen: Clinic of Oncology, St. Olav's Hospital, Trondheim, Norway.
  4. Marit Sundset: Women's Clinic, St. Olav's Hospital, Trondheim, Norway.
  5. Anne D Wanderås: Clinic of Oncology, St. Olav's Hospital, Trondheim, Norway.
  6. Signe Danielsen: Clinic of Oncology, St. Olav's Hospital, Trondheim, Norway.
  7. Iuliana Toma-Dasu: Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden.

Abstract

AIM: To compare five inverse treatment plans with one conventional manually-optimized plan for cervical cancer brachytherapy (BT) using radiobiological parameters combined with dosimetric and volumetric parameters.
MATERIALS AND METHODS: Five inverse treatment plans were calculated using an inverse planning simulated annealing (IPSA) algorithm for each of four fractions for 12 cervical cancer patients treated with high-dose-rate (HDR) brachytherapy. The inverse treatment plans were compared to a manually-optimized plan used for the actual treatment of the patients. The comparison of the plans was performed with respect to the probability of cure without complication (P+).
RESULTS: Overall, the manually optimized plan scored the best results; however, the probability of cure without complication is within an acceptable clinical range for all the plans.
CONCLUSION: Although there are still considerable uncertainties in the radiobiological parameters, the radiobiological plan evaluation method presents itself as a potential complement to physical dosimetric methods.

Keywords

MeSH Term

Algorithms
Brachytherapy
Female
Humans
Radiotherapy Dosage
Radiotherapy Planning, Computer-Assisted
Uterine Cervical Neoplasms

Word Cloud

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