TY - JOUR
T1 - Adapting temperature predictions to MR imaging in treatment position to improve simulation-guided hyperthermia for cervical cancer
AU - VilasBoas-Ribeiro, Iva
AU - Sumser, Kemal
AU - Nouwens, Sven
AU - Feddersen, Theresa
AU - Heemels, W. P.M.H.
AU - van Rhoon, Gerard C.
AU - Paulides, Margarethus M.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2024
Y1 - 2024
N2 - Hyperthermia treatment consists of elevating the temperature of the tumor to increase the effectiveness of radiotherapy and chemotherapy. Hyperthermia treatment planning (HTP) is an important tool to optimize treatment quality using pre-treatment temperature predictions. The accuracy of these predictions depends on modeling uncertainties such as tissue properties and positioning. In this study, we evaluated if HTP accuracy improves when the patient is imaged inside the applicator at the start of treatment. Because perfusion is a major uncertainty source, the importance of accurate treatment position and anatomy was evaluated using different perfusion values. Volunteers were scanned using MR imaging without ('planning setup') and with the MR-compatible hyperthermia device ('treatment setup'). Temperature-based quality indicators were used to assess the differences between the standard, apparent and the optimized hyperthermia dose. We conclude that pre-treatment imaging can improve HTP predictions accuracy but also, that tissue perfusion modelling is crucial if temperature-based optimization is applied.
AB - Hyperthermia treatment consists of elevating the temperature of the tumor to increase the effectiveness of radiotherapy and chemotherapy. Hyperthermia treatment planning (HTP) is an important tool to optimize treatment quality using pre-treatment temperature predictions. The accuracy of these predictions depends on modeling uncertainties such as tissue properties and positioning. In this study, we evaluated if HTP accuracy improves when the patient is imaged inside the applicator at the start of treatment. Because perfusion is a major uncertainty source, the importance of accurate treatment position and anatomy was evaluated using different perfusion values. Volunteers were scanned using MR imaging without ('planning setup') and with the MR-compatible hyperthermia device ('treatment setup'). Temperature-based quality indicators were used to assess the differences between the standard, apparent and the optimized hyperthermia dose. We conclude that pre-treatment imaging can improve HTP predictions accuracy but also, that tissue perfusion modelling is crucial if temperature-based optimization is applied.
UR - http://www.scopus.com/inward/record.url?scp=85174835410&partnerID=8YFLogxK
U2 - 10.1109/OJEMB.2023.3321990
DO - 10.1109/OJEMB.2023.3321990
M3 - Article
C2 - 38445240
AN - SCOPUS:85174835410
SN - 2644-1276
VL - 5
SP - 99
EP - 106
JO - IEEE Open Journal of Engineering in Medicine and Biology
JF - IEEE Open Journal of Engineering in Medicine and Biology
ER -