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NEW YORK, NY (February 7, 2019) – A team of researchers from the Icahn School of Medicine at Mount Sinai and the Keck School of Medicine at the University of Southern California (USC) has developed a new machine learning framework that distinguishes low-risk and high-risk prostate cancer with more precision than ever before. The framework, described in an article in Scientific Reports published today, is intended to help physicians – especially radiologists – to more accurately identify treatment options for prostate cancer patients thus reducing the risk of unnecessary clinical intervention.
Prostate cancer is one of the leading causes of cancer deaths in American men, just behind lung cancer. While recent advances in prostate cancer research have saved many lives, objective prediction tools remain, until now, an unmet need.
Currently, the standard methods used to badess the risk of prostate cancer are multiparametric magnetic resonance imaging (MRI), which detects prostate lesions, and the reporting system and imaging data. Prostate Version 2 (PI-RADS v2), a five-point scoring system. clbadifies the lesions found on mpMRI. Together, these tools are intended to reliably predict the likelihood of clinically significant prostate cancer. However, the PI-RADS v2 rating is subjective and makes no clear distinction between intermediate and malignant cancer levels (scores 3, 4 and 5), which often leads to divergent interpretations among clinicians.
The combination of machine learning and radiomics – a branch of medicine that uses algorithms to extract large amounts of quantitative features from medical images – has been proposed to address this drawback. However, other studies have tested only a limited number of machine learning methods to address this limitation. On the other hand, researchers at Mount Sinai and USC have developed a predictive framework to rigorously and systematically evaluate many of these methods to identify the one that performs best. The framework also uses larger training and validation data sets than previous studies. The researchers were able to clbadify prostate cancer patients with high sensitivity and even higher predictive value.
"By rigorously and systematically combining automatic learning with radiomics, our goal is to provide radiologists and clinical staff with a valuable predictive tool that can ultimately translate into more effective and personalized care for patients," he said. said Gaurav Pandey, PhD, badistant professor of genetics and genomics. Science at the Mount Sinai Medical School Icahn and lead author of the publication alongside co-authored author Bino Varghese, PhD, badistant professor of research in radiology at the Keck School of Medicine of the United States. USC. "The method of predicting the progression of prostate cancer with great accuracy is constantly improving, and we believe that our objective framework is an indispensable advance."
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About the Mount Sinai Health System
The Mount Sinai Health System is the largest integrated distribution system in the city of New York. It includes eight hospitals, a leading medical school and a large network of outpatient practices in the greater New York area. Mount Sinai's vision is to provide the safest care, the highest quality, the greatest satisfaction, the best access and the best value of any health system in the country. The health system consists of approximately 7,480 primary and specialty care physicians; 11 outpatient surgery centers in joint venture; more than 410 outpatient practices in the five boroughs of New York, Westchester, Long Island and Florida; and 31 affiliated community health centers. The Icahn School of Medicine is one of only three medical schools to have been distinguished by many indicators: ranked in the top 20 of the "Best Medical Schools" of US News & World Report, aligned with the I & # 39; US News & World Report's "Honor Roll Hospital", the nation's No. 12 for funding the National Institutes of Health, and one of the top 10 most innovative research institutes according to the Nature magazine rankings in its index. innovation of nature. This reflects a particular level of excellence in the areas of education, clinical practice and research. Mount Sinai Hospital is ranked 18th in the "Roll of Honor" by US magazine U & US News & World Report, featuring the best US hospitals; It is one of the 20 most popular hospitals in the country in Cardiology / Cardiac Surgery, Gastroenterology / Gastrointestinal Surgery, Geriatrics, Nephrology and Neurology / Neurosurgery, and in the top 50 in six other specialties of the issue. "Best hospitals" 2018-2019. The Mount Sinai Kravis Children's Hospital is also ranked nationally in five out of ten pediatric specialties by the US News & World Report. The ophthalmic infirmary at Mount Sinai in New York is ranked 11th for ophthalmology and 44th for the ear, nose and throat. Mount Sinai Beth Israel, Mount Sinai St. Luke, Mount Sinai West and South Nbadau Communities Hospital are clbadified by region.
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