News | Artificial Intelligence | April 18, 2019

Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer

FocalNet artificial neural network achieves 80.5 percent accuracy in reading MRI scans for prostate cancer, compared to 83.9 percent for experienced radiologists

Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer

April 18, 2019 — University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to help radiologists improve their ability to diagnose prostate cancer. The system, called FocalNet, helps identify and predict the aggressiveness of the disease by evaluating magnetic resonance imaging (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.

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.

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.

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

The study’s senior authors are Kyung Sung, assistant professor of radiology at the David Geffen School of Medicine at UCLA; Steven Raman, M.D., a UCLA clinical professor of radiology and a member of the UCLA Jonsson Comprehensive Cancer Center; and Dieter Enzmann, M.D., chair of radiology at UCLA. The lead author is Ruiming Cao, a UCLA graduate student. Other authors are Amirhossein Bajgiran, Sohrab Mirak, Sepideh Shakeri and Xinran Zhong, all from UCLA.

The research is published in IEEE Transactions on Medical Imaging,1 and was presented at the IEEE International Symposium on Biomedical Imaging (ISBI), April 8-11 in Venice, Italy, where it was selected as the runner up-for best paper.

For more information: www.ieeexplore.ieee.org

 

Reference

1. Cao R., Bajgiran A.M., Mirak S.A., et al. Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet. IEEE Transactions on Medical Imaging, published online Feb. 27, 2019. DOI: 10.1109/TMI.2019.2901928

Related Content

GE Healthcare and Premier Inc. Developing One-stop Breast Clinic Model for U.S.
News | Mammography | October 21, 2019
GE Healthcare and Premier Inc. have announced a collaboration to develop a model to bring a same-day breast cancer...
Densitas Breast Density Assessment Software Joins Nuance AI Marketplace
News | Breast Density | October 21, 2019
Densitas Inc. announced that its U.S. Food and Drug Administration (FDA)-cleared densitas densityai breast density...
FDA Clears AiCE Image Reconstruction on Canon's Aquilion Precision CT

Image courtesy of Canon Medical Systems

Technology | Computed Tomography (CT) | October 21, 2019
Canon Medical Systems USA Inc. has received U.S. Food and Drug Administration (FDA) 510(k) clearance on its Advanced...
The Revolution Apex intelligent computed tomography (CT) scanner

The Revolution Apex intelligent computed tomography (CT) scanner. Image courtesy of GE Healthcare.

News | RSNA | October 18, 2019
At the 2019 annual meeting of the Radiological Society of North America (RSNA 2019), Dec. 1-6 in Chicago, GE Healthcare...
Selecting an AI Marketplace for Radiology: Key Considerations for Healthcare Providers
Feature | Artificial Intelligence | October 18, 2019 | Sanjay Parekh, Ph.D.
October 18, 2019 — As the nascent market for...
MaxQ AI's Intracranial Hemorrhage Software to be Integrated on Philips CT Systems
News | Artificial Intelligence | October 18, 2019
Medical diagnostic artificial intelligence (AI) company MaxQ AI announced that its Accipio intracranial hemorrhage (ICH...
While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology IT vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with internet connection and pull images from radiology and surgery.

While electronic medical record systems have helped consolidate most patient data into one location, medical imaging IT systems has proved to be more difficult to replicate by large EMR vendors. This has made room in the market for third-party radiology information system vendors that allow easy integration with the larger EMRs like Epic and Cerner. This image shows Agfa's enterprise imaging system, leveraging its ability to be accessed anywhere with an internet connection and able to pull in images from both radiology and surgery. 

Feature | Enterprise Imaging | October 17, 2019 | Steve Holloway
October 17, 2019 — The growing influence and uptake of electronic medical records (EMRs) in healthcare has driven deb
GE Healthcare and Theragnostics Partnering on PSMA PET/CT Imaging Agent
News | Prostate Cancer | October 16, 2019
GE Healthcare and Theragnostics have entered into a global commercial partnership for a new prostate-specific membrane...
Guerbet Signs Agreement With Icometrix for Exclusive Distribution of Icobrain
News | Neuro Imaging | October 16, 2019
Guerbet announced it has signed an exclusive agreement with Icometrix for the distribution in France, Italy and Brazil...