Newswire (Published: Tuesday, April 30, 2019, Received: Tuesday, April 30, 2019, 6:00:41 PM CDT)

Word Count: 285

2019 APR 30 (NewsRx) -- By a News Reporter-Staff News Editor at Cancer Daily -- FINDINGS

UCLA researchers have developed a new artificial intelligence system to help radiologists improve their ability to diagnose prostate cancer. The system, called FocalNet, helps identify and predict the aggressiveness of the disease evaluating magnetic resonance imaging, or MRI, scans, and it does so with nearly the same level of accuracy as experienced radiologists. In tests, FocalNet was 80.5 percent accurate in reading MRIs, while radiologists with at least 10 years of experience were 83.9 percent accurate.

BACKGROUND

Radiologists use MRI to detect and assess the aggressiveness of malignant prostate tumors. However, it typically takes practicing on thousands of scans to learn how to accurately determine whether a tumor is cancerous or benign and to accurately estimate the grade of the cancer. In addition, many hospitals do not have the resources to implement the highly specialized training required for detecting cancer from MRIs.

METHOD

FocalNet is an artificial neural network that uses an algorithm that comprises more than a million trainable variables; it was developed by the UCLA researchers. The team trained the system by having it analyze MRI scans of 417 men with prostate cancer; scans were fed into the system so that it could learn to assess and classify tumors in a consistent way and have it compare the results to the actual pathology specimen. Researchers compared the artificial intelligence system’s results with readings by UCLA radiologists who had more than 10 years of experience.

IMPACT

The research suggests that an artificial intelligence system could save time and potentially provide diagnostic guidance to less-experienced radiologists.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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University of California Los Angeles

Subjects

Science and Technology
      Scientific Research
      Technology
            Artificial Intelligence
Health and Wellness
      Medical Conditions and Diseases
            Cancer
                  Prostate Cancer
            Men's Health Issues
                  Prostate Cancer
      Medical Specialties and Practices
            Radiology