At the international conference of the International Society of Magnetic Resonance in Medicine, chapter Benelux, in Maastricht 25 April 2022, Elina (Angeliki) Stamatelatou from the Department of Medical Imaging has won the first price for oral presentations with her presentation “Multivariate Curve Resolution (MCR) application for prostate cancer localization”.
The imaging of metabolites in the prostate by MR spectroscopic imaging (MRSI) can identify and characterize tumor lesions. A data-driven analytical method was applied to multi-center 3D MRSI data of the prostate for rapid automated localization and classification of cancer and healthy tissue. The method identified a spectroscopic component with abnormal metabolite levels for tumor lesions. Mapping this component identifies the tumor lesion (see Figure). This approach is a step towards the development of an automated tool for classification of prostate MRSI data, avoiding subjective human interpretation. The results indicate that the method also can assess tumor aggressiveness.
This project is funded by the EU: Marie-Curie project INSPIRE-MED
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