Delineation of a Cardiac Planning Organ-At-Risk Volume Using Real-Time Magnetic Resonance Imaging for Cardiac Protection in Thoracic and Breast Radiation Therapy.


Journal

Practical radiation oncology
ISSN: 1879-8519
Titre abrégé: Pract Radiat Oncol
Pays: United States
ID NLM: 101558279

Informations de publication

Date de publication:
May 2019
Historique:
received: 30 07 2018
revised: 15 11 2018
accepted: 08 12 2018
pubmed: 24 12 2018
medline: 14 9 2019
entrez: 22 12 2018
Statut: ppublish

Résumé

Cardiac radiation is associated with cardiotoxicity in patients with thoracic and breast malignancies. We conducted a prospective study using cine magnetic resonance imaging (MRI) scans to evaluate heart motion. We hypothesized that cine MRI could be used to define population-based cardiac planning organ-at-risk volumes (PRV). A total of 16 real-time acquisitions were obtained per subject on a 1.5 Tesla MRI (Philips Ingenia). Planar cine MRI was performed in 4 sequential sagittal and coronal planes at free-breathing (FB) and deep-inspiratory breath hold (DIBH). In-plane cardiac motion was assessed using a scale-invariant feature transformation-based algorithm. Subject-specific pixel motion ranges were defined in anteroposterior (AP), left-right (LR), and superoinferior (SI) planes. Averages of the 98% and 67% of the maximum ranges of pixel displacement were defined by subject, then averaged across the cohort to calculate PRV expansions at FB and DIBH. Data from 20 subjects with a total of 3120 image frames collected per subject in coronal and sagittal planes at DIBH and FB, and 62,400 total frames were analyzed. Cohort averages of 98% of the maximum cardiac motion ranges comprised margin expansions of 12.5 ± 1.1 mm SI, 5.8 ± 1.2 mm AP, and 6.6 ± 1.0 mm LR at FB and 6.7 ± 1.5 mm SI, 4.7 ± 1.3 mm AP, and 5.3 ± 1.3 mm LR at DIBH. Margins for 67% of the maximum range comprised 7.7 ± 0.7 mm SI, 3.2 ± 0.6 mm AP, and 3.7 ± 0.6 mm LR at FB and 4.1 ± 0.9 mm SI, 2.7 ± 0.8 mm AP, and 3.2 ± 0.8 mm LR at DIBH. Subsequently, these margins were simplified to form PRVs for treatment planning. We implemented scale-invariant feature transformation-based motion tracking for analysis of the cardiac cine MRI scans to quantify motion and create cohort-based cardiac PRVs to improve cardioprotection in breast and thoracic radiation.

Identifiants

pubmed: 30576844
pii: S1879-8500(18)30354-0
doi: 10.1016/j.prro.2018.12.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e298-e306

Informations de copyright

Copyright © 2018 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.

Auteurs

Lauren E Henke (LE)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

Jessika A Contreras (JA)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

Thomas Mazur (T)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

Olga Green (O)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

Nalini Daniel (N)

Department of Radiology, Washington University School of Medicine, St. Louis, Missouri.

Hilary Lashmett (H)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

Tammy Senter (T)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

H Michael Gach (HM)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri; Department of Radiology, Washington University School of Medicine, St. Louis, Missouri; Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, Missouri.

Laura Ochoa (L)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

Sasa Mutic (S)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

Imran Zoberi (I)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

Jeffrey Bradley (J)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

Clifford Robinson (C)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri.

Maria A Thomas (MA)

Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri. Electronic address: mariathomas@wustl.edu.

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Classifications MeSH