Abstract #0969

Cluster analysis of VERDICT MRI for identification of tumor subregions with distinct histological features

Lukas Lundholm¹, Mikael Montelius¹, Oscar Jalnefjord^1,2, Eva Forssell-Aronsson^1,2, and Maria Ljungberg^1,2

¹Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden, ²Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden

Synopsis

Keywords: Diffusion/other diffusion imaging techniques, Cancer, VERDICT, preclinical, histologyCharacterization of tumor tissue may aid in grading and assessment of cancer treatment. Time-dependent diffusion MRI can provide non-invasive estimates of parameters relating to tissue microstructure in vivo. In this study, a cluster analysis was performed to group parameters estimated by the time-dependent diffusion MRI model VERDICT. Parameter cluster maps were compared with maps derived from classification of histological images. The results showed good agreement between VERDICT cluster maps and histology maps, indicating that the method shows potential in identifying tumor subregions of distinct morphological features.

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