Radiotherapy treatment planning of prostate cancer using magnetic resonance imaging

被引:4
作者
Vanquin, L. [1 ]
Boydev, C. [1 ,2 ]
Korhonen, J. [3 ]
Rault, E. [1 ]
Crop, F. [1 ]
Lacornerie, T. [1 ]
Wagner, A. [1 ]
Laffarguette, J. [1 ]
Pasquier, D. [4 ,5 ]
Reynaert, N. [1 ,6 ]
机构
[1] Ctr Oscar Lambret, Unite Phys Med, 3 Rue Combemale, F-59020 Lille, France
[2] Inst Curie, Unite Phys Med, 35 Rue Dailly, F-92210 St Cloud, France
[3] Univ Helsinki, Cent Hosp, Comprehens Canc Ctr, Dept Radiat Oncol, Helsinki 00029, Finland
[4] Ctr Oscar Lambret, Dept Univ Radiotherapie, 3 Rue Combemale, F-59020 Lille, France
[5] Univ Lille 1, CNRS, UMR 9189, CRIStAL, M3,Ave Carl Gauss, F-59650 Villeneuve Dascq, France
[6] Inst Jules Bordet, 121 Blvd Waterloo, B-1000 Brussels, Belgium
来源
CANCER RADIOTHERAPIE | 2019年 / 23卷 / 04期
关键词
Elastic registration; Radiotherapy; MRI; Pseudo-CT (Pseudo-Computerized Tomography); MRI-ONLY RADIOTHERAPY; PSEUDO-CT; GENERATION; SEQUENCES; VERIFICATION;
D O I
10.1016/j.canrad.2018.09.005
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose.-Magnetic resonance imaging (MRI) plays an increasing role in radiotherapy dose planning. Indeed, MRI offers superior soft tissue contrast compared to computerized tomography (CT) and therefore could provide a better delineation of target volumes and organs at risk than CT for radiotherapy. Furthermore, an MRI-only radiotherapy workflow would suppress registration errors inherent to the registration of MRI with CT. However, the estimation of the electronic density of tissues using MRI images is still a challenging issue. The purpose of this work was to design and evaluate a pseudo-CT generation method for prostate cancer treatments. Materials and methods.-A pseudo-CT was generated for ten prostate cancer patients using an elastic deformation based method. For each patient, dose delivered to the patient was calculated using both the planning CT and the pseudo-CT. Dose differences between CT and pseudo-CT were investigated. Results.-Mean dose relative difference in the planning target volume is 0.9% on average and ranges from 0.1% to 1.7%. In organs at risks, this value is 1.8%, 0.8%, 0.8% and 1% on average in the rectum, the right and left femoral heads, and the bladder respectively. Conclusio.-The dose calculated using the pseudo-CT is very close to the dose calculated using the CT for both organs at risk and PTV. These results confirm that pseudo-CT images generated using the proposed method could be used to calculate radiotherapy treatment doses on MRI images. (C) 2019 Societe francaise de radiotherapie oncologique (SFRO). Published by Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:281 / 289
页数:9
相关论文
共 28 条
[1]   A patch-based pseudo-CT approach for MRI-only radiotherapy in the pelvis [J].
Andreasen, Daniel ;
Van Leemput, Koen ;
Edmund, Jens M. .
MEDICAL PHYSICS, 2016, 43 (08) :4742-4752
[2]   Patch-based generation of a pseudo CT from conventional MRI sequences for MRI-only radiotherapy of the brain [J].
Andreasen, Daniel ;
Van Leemput, Koen ;
Hansen, Rasmus H. ;
Andersen, Jon A. L. ;
Edmund, Jens M. .
MEDICAL PHYSICS, 2015, 42 (04) :1596-1605
[3]  
[Anonymous], 2010, J ICRU, DOI [DOI 10.1093/JICRU/NDQ002, 10.1093/jicru/ndq002]
[4]   Dosimetric evaluation of MRI-based treatment planning for prostate cancer [J].
Chen, L ;
Price, RA ;
Nguyen, TB ;
Wang, L ;
Li, JS ;
Qin, L ;
Ding, M ;
Palacio, E ;
Ma, CM ;
Pollack, A .
PHYSICS IN MEDICINE AND BIOLOGY, 2004, 49 (22) :5157-5170
[5]   MRI-based treatment planning for radiotherapy: Dosimetric verification for prostate IMRT [J].
Chen, LL ;
Price, RA ;
Wang, L ;
Li, JS ;
Qin, LH ;
McNeeley, S ;
Ma, CMC ;
Freedman, GM ;
Pollack, A .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2004, 60 (02) :636-647
[6]   Dosimetric characterization of MRI-only treatment planning for brain tumors in atlas-based pseudo-CT images generated from standard T1-weighted MR images [J].
Demol, Benjamin ;
Boydev, Christine ;
Korhonen, Juha ;
Reynaert, Nick .
MEDICAL PHYSICS, 2016, 43 (12) :6557-6568
[7]   MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network [J].
Dinkla, Anna M. ;
Wolterink, Jelmer M. ;
Maspero, Matteo ;
Savenije, Mark H. F. ;
Verhoeff, Joost J. C. ;
Seravalli, Enrica ;
Isgum, Ivana ;
Seevinck, Peter R. ;
van den Berg, Cornelis A. T. .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2018, 102 (04) :801-812
[8]   An Atlas-Based Electron Density Mapping Method for Magnetic Resonance Imaging (MRI)-Alone Treatment Planning and Adaptive MRI-Based Prostate Radiation Therapy [J].
Dowling, Jason A. ;
Lambert, Jonathan ;
Parker, Joel ;
Salvado, Olivier ;
Fripp, Jurgen ;
Capp, Anne ;
Wratten, Chris ;
Denham, James W. ;
Greer, Peter B. .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2012, 83 (01) :E5-E11
[9]   Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning [J].
Guerreiro, F. ;
Burgos, N. ;
Dunlop, A. ;
Wong, K. ;
Petkar, I. ;
Nutting, C. ;
Harrington, K. ;
Bhide, S. ;
Newbold, K. ;
Dearnaley, D. ;
deSouza, N. M. ;
Morgan, V. A. ;
McClelland, J. ;
Nill, S. ;
Cardoso, M. J. ;
Ourselin, S. ;
Oelfke, U. ;
Knopf, A. C. .
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2017, 35 :7-17
[10]   MR-based synthetic CT generation using a deep convolutional neural network method [J].
Han, Xiao .
MEDICAL PHYSICS, 2017, 44 (04) :1408-1419