Postimplant Dosimetry of Permanent Prostate Brachytherapy: Comparison of MRI-Only and CT-MRI Fusion-Based Workflows.
Algorithms
Brachytherapy
/ instrumentation
Feasibility Studies
Gases
Humans
Iodine Radioisotopes
/ administration & dosage
Magnetic Resonance Imaging
Male
Multimodal Imaging
/ methods
Prostatic Neoplasms
/ diagnostic imaging
Radiometry
/ methods
Rectum
/ diagnostic imaging
Time Factors
Tomography, X-Ray Computed
Workflow
Journal
International journal of radiation oncology, biology, physics
ISSN: 1879-355X
Titre abrégé: Int J Radiat Oncol Biol Phys
Pays: United States
ID NLM: 7603616
Informations de publication
Date de publication:
01 01 2020
01 01 2020
Historique:
received:
24
07
2019
revised:
11
09
2019
accepted:
07
10
2019
pubmed:
19
10
2019
medline:
14
2
2020
entrez:
19
10
2019
Statut:
ppublish
Résumé
The current magnetic resonance imaging-computed tomography (MRI-CT) fusion-based workflow for postimplant dosimetry of low-dose-rate (LDR) prostate brachytherapy takes advantage of the superior soft tissue contrast of MRI, but still relies on CT for seed visualization and detection. Recently an MR-only workflow has been proposed that employs standard MR sequences and visualizes conventional implanted seed with positive contrast solely through MR postprocessing. In this work, the novel MR-only based workflow is compared with the clinical CT-MRI fusion approach. Twenty-four prostate patients with a total of 1775 implanted LDR seeds were scanned using a 3-dimensional multiecho gradient echo sequence on a 3 Tesla MR scanner within 30 days after implantation. Quantitative susceptibility mapping was used for seed visualization. Seeds were automatically segmented and localized on the quantitative susceptibility mapping using convolutional neural network and k-means clustering, respectively. To assess the MR-only seed localization error, CT and MR-derived seed positions were coregistered, and ultimately, the resulting dose-volume histograms were compared. The MR-based seed visualization, segmentation, and localization generated comparable results to the CT-MR registration approach. The accuracy of the MRI-only based seed identification was 99.1%. After a rigid registration between the MR and CT-derived seed centroids, the average localization error was 0.8 ± 0.8 mm. The average prostate D The MRI-only LDR postimplant dosimetry is feasible and has very good potential to eliminate the need for CT-based seed identification.
Identifiants
pubmed: 31627178
pii: S0360-3016(19)33882-9
doi: 10.1016/j.ijrobp.2019.10.009
pii:
doi:
Substances chimiques
Gases
0
Iodine Radioisotopes
0
Types de publication
Comparative Study
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
206-215Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.