Machine Learning Model Accurately Predicts Which Patients
Are Most Likely to Benefit from Prostate Multiparametric MRI
Results to be presented at ARRS 2018 Annual Meeting
Leesburg, VA, March 21, 2018—A newly developed machine learning model can accurately predict which patients are most likely to benefit from prostate multiparametric MRI (mpMRI), according to a study to be presented at the ARRS 2018 Annual Meeting, set for April 22-27 in Washington, DC.
With mpMRI increasingly used for prostate cancer detection, this machine learning model can aid in patient selection to optimize resource utilization and reduce unnecessary costs, according to Zachary Nuffer of the University of Rochester Medical Center, who will present his findings at the ARRS 2018 Annual Meeting.
A total of 811 prostate mpMRI examinations from four tertiary care centers with mpMRI expertise were used to develop a support vector machine model for predicting PI-RADS category 4 or 5 lesions on the basis of patient age, prostate specific antigen, and prostate volume. Patients either had no prior prostate biopsy or had a negative prior prostate biopsy. The model was developed on the Microsoft Azure Machine Learning platform and can be accessed at birch.azurewebsites.net. The model was then tested prospectively on 42 patients.
The model showed 73% accuracy for predicting PI-RADS category 4 or 5 lesions on the basis of 10-fold cross validation. Prospective validation of the model demonstrates a sensitivity of 75% and specificity of 82% for a cutoff threshold of 43% for predicting PI-RADS category 4 or 5 lesions.
With educational activities representing the entire spectrum of radiology, ARRS will host leading radiologists from around the world at the ARRS 2018 Annual Meeting, April 22–27, at the Marriott Wardman Park Hotel in Washington, DC. For more information, visit: http://www.arrs.org/am18.
Founded in 1900, ARRS is the first and oldest radiology society in the United States, and is an international forum for progress in radiology. The Society's mission is to improve health through a community committed to advancing knowledge and skills in radiology. ARRS achieves its mission through an annual scientific and educational meeting, publication of the American Journal of Roentgenology (AJR) and InPractice magazine, topical symposia and webinars, and print and online educational materials. ARRS is located in Leesburg, VA.