ORCID: https://orcid.org/0009-0006-9739-2865; Rabe, Moritz ORCID: https://orcid.org/0000-0002-7085-4066; Stüber, Anna Theresa ORCID: https://orcid.org/0000-0001-5236-4373; Hering, Svenja ORCID: https://orcid.org/0000-0002-5725-9959; Corradini, Stefanie ORCID: https://orcid.org/0000-0001-8709-7252; Eze, Chukwuka ORCID: https://orcid.org/0000-0003-3779-1398; Marschner, Sebastian ORCID: https://orcid.org/0000-0002-8121-358X; Belka, Claus ORCID: https://orcid.org/0000-0002-1287-7825; Landry, Guillaume ORCID: 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, Vol. 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.
| Item Type: | Journal article |
|---|---|
| Faculties: | Medicine > Medical Center of the University of Munich > Clinic and Polyclinic for Radiology |
| Subjects: | 600 Technology > 610 Medicine and health |
| URN: | urn:nbn:de:bvb:19-epub-125290-3 |
| ISSN: | 01678140 |
| Language: | English |
| Item ID: | 125290 |
| Date Deposited: | 11. May 2025 16:58 |
| Last Modified: | 11. May 2025 16:58 |
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