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Abstract #0453

Using Ventilation and Perfusion MRI at a 0.35 T MR-Linac to Predict Radiation-Induced Pneumonitis in Lung Cancer Patients

Rabea Klaar1,2, Moritz Rabe3, Anna Theresa Stüber1,4,5, Stefanie Corradini3, Chukwuka Eze3, Claus Belka3,6,7, Guillaume Landry3, Christopher Kurz3, and Julien Dinkel1,2
1Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany, 2Comprehensive Pneumology Center (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany, 3Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany, 4Munich Center for Machine Learning (MCML), Munich, Germany, 5Department of Statistics, LMU Munich, Munich, Germany, 6German Cancer Consortium (DKTK), partner site Munich, a partnership between DKFZ and LMU University Hospital Munich, Munich, Germany, 7Bavarian Cancer Research Center (BZKF), Munich, Germany

Synopsis

Keywords: MR-Guided Radiotherapy, Data Analysis, low-field, MR-Linac, ventilation, perfusion, functional imaging

Motivation: Early predictors of radiation-induced pneumonitis in patients receiving MR-guided radiotherapy allowing a closer follow up and taking early countermeasures to avoid a severe disease progression have not yet been identified.

Goal(s): We aimed at finding functional MR-based biomarkers acquired during treatment that allows the prediction of radiation-induced pneumonitis (RP) for lung cancer patients directly after MR-guided radiotherapy.

Approach: For 19 patients, ventilation- and perfusion-maps were acquired using a non-contrast enhanced free-breathing technique and investigated in different regions of the irradiated lung.

Results: Changes over treatment in the ventilation around the tumor significantly separate between RP and non-RP group.

Impact: The acquisition of additional functional lung imaging during MR-guided radiotherapy requires little effort while offering the opportunity to identify lung cancer patients at risk of developing radiation-induced pneumonitis right after treatment and to take early countermeasures to avoid severe complications.

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Keywords