Sebastia Sabater1, Maria Del Rosario Pastor-Juan2, Roberto Berenguer3, Ignacio Andres3, Marimar Sevillano3, Elena Lozano-Setien2, Esther Jimenez-Jimenez4, Angeles Rovirosa5, Ricardo Sanchez-Prieto6, Meritxell Arenas7. 1. Dpt of Radiation Oncology, Complejo Hospitalario Universitario de Albacete (CHUA), Spain. Electronic address: ssabaterm@gmail.com. 2. Dpt of Radiology, Complejo Hospitalario Universitario de Albacete (CHUA), Spain. 3. Dpt of Radiation Oncology, Complejo Hospitalario Universitario de Albacete (CHUA), Spain. 4. Dpt of Radiation Oncology, Hospital Son Espases, Palma de Mallorca, Spain. 5. Radiation Oncology Department, ICMHO, Hospital Clinic, University of Barcelona, IDIBAPS, Spain. 6. Unidad de Medicina Molecular, Centro Regional de Investigaciones Biomédicas, Universidad de Castilla-La Mancha, Albacete, Spain; Unidad asociada de Biomedicina, UCLM-CSIC, Albacete, Spain. 7. Dpt of Radiation Oncology, Hospital Universitari Sant Joan, Reus, Spain.
Abstract
AIM: Our aim was to analyse the feasibility of integrating an MRI acquired in a non-radiotherapy set-up into the prostate cancer radiotherapy workflow. MATERIAL AND METHODS: The MRIs of 15 prostate cancer patients, acquired with a flat table-top (MRI-flat), and with a curved tabletop (MRI-curve) were analysed. MRIs were rigidly (RIR) and non-rigidly registered (DIR) with CT images. The prostate and rectum were contoured in each image set and translated to the CT, and IMRT plans were computed taking into account structural changes after RIR and DIR (P-flatRIR, P-curveRIR and P-curveDIR). In addition the P-curveDIR was overlaid with RIR structures. Spatial overlap parameters and dose-volume histogram metrics were generated. RESULTS: No significant differences were observed among P-flatRIR and P-curveRIR or P-flatRIR and P-curveDIR. Median gamma-values: P-curveRIR, 95.3%; P-curveDIR, 96%, translated-P-curveDIR, 95%. DVH metrics for translated-P-curveDIR were: Dmin, 64.5Gy; Dmean, 70.06Gy; V95%, 100%. No statistically significant differences were found in the dosimetric MRI-flatDIR values. CONCLUSIONS: The dosimetric reproduction of treatment position image following image registration of non-radiotherapy set-up images suggests that it is feasible to integrate these images into the radiotherapy workflow.
AIM: Our aim was to analyse the feasibility of integrating an MRI acquired in a non-radiotherapy set-up into the prostate cancer radiotherapy workflow. MATERIAL AND METHODS: The MRIs of 15 prostate cancerpatients, acquired with a flat table-top (MRI-flat), and with a curved tabletop (MRI-curve) were analysed. MRIs were rigidly (RIR) and non-rigidly registered (DIR) with CT images. The prostate and rectum were contoured in each image set and translated to the CT, and IMRT plans were computed taking into account structural changes after RIR and DIR (P-flatRIR, P-curveRIR and P-curveDIR). In addition the P-curveDIR was overlaid with RIR structures. Spatial overlap parameters and dose-volume histogram metrics were generated. RESULTS: No significant differences were observed among P-flatRIR and P-curveRIR or P-flatRIR and P-curveDIR. Median gamma-values: P-curveRIR, 95.3%; P-curveDIR, 96%, translated-P-curveDIR, 95%. DVH metrics for translated-P-curveDIR were: Dmin, 64.5Gy; Dmean, 70.06Gy; V95%, 100%. No statistically significant differences were found in the dosimetric MRI-flatDIR values. CONCLUSIONS: The dosimetric reproduction of treatment position image following image registration of non-radiotherapy set-up images suggests that it is feasible to integrate these images into the radiotherapy workflow.
Authors: E Jimenez-Jimenez; P Mateos; N Aymar; R Roncero; I Ortiz; M Gimenez; J Pardo; J Salinas; S Sabater Journal: Clin Transl Oncol Date: 2018-05-02 Impact factor: 3.405
Authors: Laura M O'Connor; Kate Skehan; Jae H Choi; John Simpson; Jarad Martin; Helen Warren-Forward; Jason Dowling; Peter Greer Journal: Phys Imaging Radiat Oncol Date: 2021-10-16