MRI-based ventilation and perfusion imaging to predict radiation-induced pneumonitis in lung tumor patients at a 0.35 T MR-Linac

MRI-based functional parameters extracted from 2D-cine MRI-scans were found to be predictive of RP development in lung tumor patients.

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Publication Details

Journal
Radiotherapy and Oncology
Published
2024-08-05
DOI
https://doi.org/10.1016/j.radonc.2024.110468
Citations
10
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
4.19

Funders

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article

MRI-based ventilation and perfusion imaging to predict radiation-induced pneumonitis in lung tumor patients at a 0.35 T MR-Linac

Stefanie Corradini, Sebastian Marschner, Chukwuka Eze, Anna Theresa Stüber et al.
10 citations
Radiotherapy and Oncology
Lung Cancer Diagnosis and Treatment
4.19
article

MRI-based ventilation and perfusion imaging to predict radiation-induced pneumonitis in lung tumor patients at a 0.35 T MR-Linac

Stefanie Corradini, Sebastian Marschner, Chukwuka Eze, Anna Theresa Stüber, Rabea Klaar, Claus Belka, Svenja Hering, Julien Dinkel, Christopher Kurz, Moritz Rabe, Guillaume Landry
article en
10 citations

Abstract

MRI-based functional parameters extracted from 2D-cine MRI-scans were found to be predictive of RP development in lung tumor patients.

Radiotherapy and OncologyVol. 199
LMU Klinikum (DE), German Center for Lung Research (DE), Ludwig-Maximilians-Universität München (DE)
Deutsches Zentrum für Lungenforschung
Good health and well-being
Openalex Percentile: Top 5%
Lung Cancer Diagnosis and Treatment
4.19
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MRI-based ventilation and perfusion imaging to predict radiation-induced pneumonitis in lung tumor patients at a 0.35 T MR-Linac — Stefanie Corradini, Sebastian Marschner, et al. · Radiotherapy and Oncology (2024) | TGRS Research Map | TGRS