Justin Gagnon, Carleton University
Texture-Analysis Classification of Intraductal Carcinoma of the Prostate Using Label-Free Multimodal Nonlinear Optical Imaging
Intraductal carcinoma of the prostate (IDC-P) is a very aggressive histopathological subtype of prostate cancer (PCa) for which no accurate biomarkers exist. In our work, we apply a multimodal nonlinear optical imaging approach that uses second-harmonic generation (SHG) and stimulated Raman scattering (SRS) imaging to distinguish IDC-P from regular PCa and benign prostate glands. Images from each tissue type were classified using support vector machine (SVM). The technique classified the images from each region based on first-order statistics and texture-based second-order statistics derived from the gray-level co-occurrence matrix of the images. Our results demonstrate that SVM models trained on either SHG or SRS images accurately classify IDC-P as well as high-grade PCa, low-grade PCa, and benign tissue with a mean classification accuracy of over 89%. Furthermore, a classification model combining both SHG and SRS imaging modalities can accurately classify all tissue types with a mean classification accuracy of 98%.
Gerd Melkus, The Ottawa Hospital
Advancing Neuro-Muscular Disease Diagnosis: Development and Implementation of Quantitative MRI Biomarkers
Neuro-muscular diseases (NMDs) encompass a broad spectrum of conditions that affect both the nervous system and muscles, often leading to progressive disability. Early and accurate diagnosis is essential for improving patient outcomes, yet traditional diagnostic methods frequently fall short in providing precise, quantitative insights into disease progression.
Our team at the Ottawa Hospital developed and implemented quantitative magnetic resonance imaging (MRI) techniques as tools to advance the diagnosis of NMDs. By leveraging advanced imaging techniques, such as fat infiltration quantification and tissue characterization, quantitative MRI has the potential to serve as a non-invasive, reproducible biomarker to track disease evolution and potential interventions.
Different MRI-based approaches, techniques and concepts to quantify muscle fat infiltration, edema and quality will be discussed. The potential of using quantitative fat fraction measurements will be examined on oculopharyngeal muscular dystrophy (OPMD), one of the most common muscular dystrophies in Canada due to a founder effect in French-Canadians.