Abstract #5184

Towards Automated Detection and Localization of Radiation-Induced Pneumonitis based on T2-Maps of Lung Cancer Patients

Rabea Klaar^1,2, Moritz Rabe³, Kaltra Begaj¹, Stefanie Corradini³, Chukwuka Eze³, Claus Belka^3,4,5, Guillaume Landry³, Christopher Kurz³, and Julien Dinkel^1,2

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, ⁴German Cancer Consortium (DKTK), partner site Munich, a partnership between DKFZ and LMU University Hospital Munich, Munich, Germany, ⁵Bavarian Cancer Research Center (BZKF), Munich, Germany

Synopsis

Keywords: Lung, Diagnosis/Prediction, Biomarkers, Radiotherapy, Radiation-Induced Pneumonitis, T2-Mapping

Motivation: Repeated follow-up CT-scans, assessed by a radiologist, are still necessary to infer and monitor potential radiation-induced pneumonitis (RP) in patients after lung radiotherapy.

Goal(s): We aimed at developing a workflow based on MRI that would allow the automated identification of RP patients and the detection of the affected lung area.

Approach: T2-maps were acquired 2-3 months after the end of MRI-guided radiotherapy for 22 patients and T2 values investigated in high-dose lung regions.

Results: T2-values in the high-dose regions showed significant differences between RP and non-RP patients and T2-maps might allow an automatic segmentation of the RP region.

Impact: The acquisition of T2-maps for lung tumor patients 2-3 months after the end of radiotherapy could replace the repeated follow-up CT-scans for these patients and could also allow to automatically identify radiation-induced pneumonitis patients and the affected lung area.

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