AI model for prostate tumor size and outcomes prediction
October 2024
Dana-Farber Cancer Institute, Boston, USA
Although MRI has improved the diagnosis of prostate cancer, estimates of tumour size by human clinicians can vary from person-to-person. Therefore, in this study, the researchers trained an AI model based on MRI images of prostate cancer tumours from 732 patients undergoing treatment at a single centre. Following this, the AI model’s size estimates were linked to treatment success in the five to 10 years after diagnosis. The researchers demonstrated that the AI model could locate and measure around 85 percent of prostate tumours that had a Prostate Imaging Reporting and Data System (PI-RADS) score of 5 within the patient cohort. This score indicates a very high risk of clinically significant prostate cancer. Also, the model’s size estimates showed potential as a prognostic marker. For patients treated surgically or with radiation therapy, larger tumours were associated with higher risk that prostate cancer would come back, as measured by blood levels of prostate-specific antigen (PSA).
AI-derived tumor volume from multiparametric MRI and outcomes in localized prostate cancer
Martin T. King
Added on: 12-03-2024
[1] https://pubs.rsna.org/doi/10.1148/radiol.240041[2] https://www.drugtargetreview.com/news/154052/new-ai-model-may-enable-more-targeted-prostate-cancer-treatment
