Assessment of MRI-Based Attenuation Correction for MRI-Only Radiotherapy Treatment Planning of the Brain.

MRAC MRI-only PET–MRI RTP brain radiotherapy

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
14 May 2020
Historique:
received: 14 04 2020
revised: 27 04 2020
accepted: 11 05 2020
entrez: 20 5 2020
pubmed: 20 5 2020
medline: 20 5 2020
Statut: epublish

Résumé

Magnetic resonance imaging-only radiotherapy treatment planning (MRI-only RTP) and positron emission tomography (PET)-MRI imaging require generation of synthetic computed tomography (sCT) images from MRI images. In this study, initial dosimetric evaluation was performed for a previously developed MRI-based attenuation correction (MRAC) method for use in MRI-only RTP of the brain. MRAC-based sCT images were retrospectively generated from Dixon MR images of 20 patients who had previously received external beam radiation therapy (EBRT). Bone segmentation performance and Dice similarity coefficient of the sCT conversion method were evaluated for bone volumes on CT images. Dose calculation accuracy was assessed by recalculating the CT-based EBRT plans using the sCT images as the base attenuation data. Dose comparison was done for the sCT- and CT-based EBRT plans in planning target volume (PTV) and organs at risk (OAR). Parametric dose comparison showed mean relative differences of <0.4% for PTV and <1.0% for OARs. Mean gamma index pass rates of 95.7% with the 2%/2 mm agreement criterion and 96.5% with the 1%/1 mm agreement criterion were determined for glioma and metastasis patients, respectively. Based on the results, MRI-only RTP using sCT images generated from MRAC images can be a feasible alternative for radiotherapy of the brain.

Identifiants

pubmed: 32422950
pii: diagnostics10050299
doi: 10.3390/diagnostics10050299
pmc: PMC7278007
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Alfred Kordelinin Säätiö
ID : n/a
Organisme : Finland Proper Regional fund
ID : n/a
Organisme : State Research Funding (the expert responsibility area of TYKS, Turku University Hospital)
ID : 13236 and 13317

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Auteurs

Iiro Ranta (I)

Department of Physics and Astronomy, University of Turku, Vesilinnantie 5, FI-20014 Turku, Finland.
Department of Medical Physics, Turku University Hospital, Hämeentie 11, FI-20521 Turku, Finland.
Department of Oncology and Radiotherapy, Turku University Hospital, Hämeentie 11, FI-20521 Turku, Finland.

Jarmo Teuho (J)

Department of Medical Physics, Turku University Hospital, Hämeentie 11, FI-20521 Turku, Finland.
Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, FI-20521 Turku, Finland.

Jani Linden (J)

Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, FI-20521 Turku, Finland.
Department of Mathematics and Statistics, University of Turku, Vesilinnantie 5, FI-20014 Turku, Finland.

Riku Klén (R)

Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, FI-20521 Turku, Finland.

Mika Teräs (M)

Department of Medical Physics, Turku University Hospital, Hämeentie 11, FI-20521 Turku, Finland.
Institute of Biomedicine, University of Turku, Kiinamyllynkatu 10, FI-20014 Turku, Finland.

Mika Kapanen (M)

Department of Medical Physics, Medical Imaging Center, Tampere University Hospital, Teiskontie 35, FI-33521 Tampere, Finland.
Department of Oncology, Unit of Radiotherapy, Tampere University Hospital, Teiskontie 35, FI-33521 Tampere, Finland.

Jani Keyriläinen (J)

Department of Physics and Astronomy, University of Turku, Vesilinnantie 5, FI-20014 Turku, Finland.
Department of Medical Physics, Turku University Hospital, Hämeentie 11, FI-20521 Turku, Finland.
Department of Oncology and Radiotherapy, Turku University Hospital, Hämeentie 11, FI-20521 Turku, Finland.

Classifications MeSH