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Klaar, Rabea ORCID logoORCID: https://orcid.org/0009-0006-9739-2865; Rabe, Moritz ORCID logoORCID: https://orcid.org/0000-0002-7085-4066; Stüber, Anna Theresa ORCID logoORCID: https://orcid.org/0000-0001-5236-4373; Hering, Svenja ORCID logoORCID: https://orcid.org/0000-0002-5725-9959; Corradini, Stefanie ORCID logoORCID: https://orcid.org/0000-0001-8709-7252; Eze, Chukwuka ORCID logoORCID: https://orcid.org/0000-0003-3779-1398; Marschner, Sebastian ORCID logoORCID: https://orcid.org/0000-0002-8121-358X; Belka, Claus ORCID logoORCID: https://orcid.org/0000-0002-1287-7825; Landry, Guillaume ORCID logoORCID: https://orcid.org/0000-0003-1707-4068; Dinkel, Julien und Kurz, Christopher (2024): MRI-based ventilation and perfusion imaging to predict radiation-induced pneumonitis in lung tumor patients at a 0.35 T MR-Linac. In: Radiotherapy and Oncology, Bd. 199, 110468 [PDF, 1MB]

Abstract

Background and purpose: Radiation-induced pneumonitis (RP), diagnosed 6–12 weeks after treatment, is a complication of lung tumor radiotherapy. So far, clinical and dosimetric parameters have not been reliable in predicting RP. We propose using non-contrast enhanced magnetic resonance imaging (MRI) based functional parameters acquired over the treatment course for patient stratification for improved follow-up.

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