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Multisequence Multiparametric MRI-based Radiomics and Pathomics in Prostate Cancer: Towards improved treatment outcomes

Principal Investigator
Name
Sneha Singh
Degrees
Ph.D.
Institution
Indian Institute of Technology, Mandi
Position Title
Assistant Professor
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-1588
Initial CDAS Request Approval
Jun 7, 2024
Title
Multisequence Multiparametric MRI-based Radiomics and Pathomics in Prostate Cancer: Towards improved treatment outcomes
Summary
This research proposes optimizing prostate cancer therapy response by integrating MRI, biomarkers, and prognostic modeling. Its success could markedly enhance patient outcomes in the treatment and occurrence process. This research promises a transformative impact on prostate cancer management by advancing detection, characterization, and personalized treatment planning. Utilizing data from the various resources, alongside segmented masks, enhances analysis depth, providing detailed insights into prostate lesion distribution and extent, and improving diagnostic and treatment precision.
Aims

Prostate cancer (or Prostate Adenocarcinoma) is the second most common cancer among Indian males. It accounts for about 7% of all cancer cases in men in India. Globally, prostate cancer is the fourth most common cancer overall. In the United States, prostate cancer is the second most common cancer in men after skin cancer. About 1 in 9 men will be diagnosed with prostate cancer during their lifetime. Prostate cancer is more common in older men, with the average age of diagnosis being around 66. African-American men have a higher risk of developing prostate cancer compared to men of other racial or ethnic groups. This research proposal outlines a comprehensive approach combining multimodality MRI, biomarker discovery, and prognostic modeling to optimize treatment planning and outcomes in prostate cancer patients.

Collaborators

We are collaborating with the various health Institution in India and also with technical entities for our problem statement.