Pseudo-CT Generation for MRI-Only Radiation Therapy Treatment Planning: Comparison Among Patch-Based, Atlas-Based, and Bulk Density Methods.


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 02 2019
Historique:
received: 20 04 2018
revised: 15 08 2018
accepted: 01 10 2018
pubmed: 20 10 2018
medline: 6 8 2019
entrez: 19 10 2018
Statut: ppublish

Résumé

Methods have been recently developed to generate pseudo-computed tomography (pCT) for dose calculation in magnetic resonance imaging (MRI)-only radiation therapy. This study aimed to propose an original nonlocal mean patch-based method (PBM) and to compare this PBM to an atlas-based method (ABM) and to a bulk density method (BDM) for prostate MRI-only radiation therapy. Thirty-nine patients received a volumetric modulated arc therapy for prostate cancer. In addition to the planning computed tomography (CT) scans, T2-weighted MRI scans were acquired. pCTs were generated from MRIs using 3 methods: an original nonlocal mean PBM, ABM, and BDM. The PBM was performed using feature extraction and approximate nearest neighbor search in a training cohort. The PBM accuracy was evaluated in a validation cohort by using imaging and dosimetric endpoints. Imaging endpoints included mean absolute error and mean error between Hounsfield units of the pCT and the reference CT (CT The mean absolute error and mean error obtained from the PBM were 41.1 and -1.1 Hounsfield units. The PBM dose-volume histogram differences were 0.7% for prostate planning target volume V The proposed PBM provides low uncertainties with dose planned on CT

Identifiants

pubmed: 30336265
pii: S0360-3016(18)33839-2
doi: 10.1016/j.ijrobp.2018.10.002
pii:
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Pagination

479-490

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Axel Largent (A)

Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France. Electronic address: axel.largent@hotmail.fr.

Anaïs Barateau (A)

Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.

Jean-Claude Nunes (JC)

Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.

Caroline Lafond (C)

Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.

Peter B Greer (PB)

School of Mathematical and Physical Sciences, University of Newcastle, Newcastle, Australia.

Jason A Dowling (JA)

CSIRO Australian e-Health Research Centre, Herston, Queensland, Australia.

Hervé Saint-Jalmes (H)

Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.

Oscar Acosta (O)

Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.

Renaud de Crevoisier (R)

Univ Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, F-35000 Rennes, France.

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Classifications MeSH