FDA Authorizes Software that Can Help Identify Prostate Cancer

FDAToday, the U.S. Food and Drug Administration authorized marketing of software to assist medical professionals who examine body tissues (pathologists) in the detection of areas that are suspicious for cancer as an adjunct (supplement) to the review of digitally-scanned slide images from prostate biopsies (tissue removed from the body). The software, called Paige Prostate, is the first artificial intelligence (AI)-based software designed to identify an area of interest on the prostate biopsy image with the highest likelihood of harboring cancer so it can be reviewed further by the pathologist if the area of concern has not been identified on initial review.

"Pathologists examine biopsies of tissue suspected for diseases, such as prostate cancer, every day. Identifying areas of concern on the biopsy image can help pathologists make a diagnosis that informs the appropriate treatment," said Tim Stenzel, M.D., Ph.D., director of the Office of In Vitro Diagnostics and Radiological Health in the FDA’s Center for Devices and Radiological Health. "The authorization of this AI-based software can help increase the number of identified prostate biopsy samples with cancerous tissue, which can ultimately save lives."

Cancer that starts in the prostate is called prostate cancer. According to the Centers for Disease Control and Prevention, aside from non-melanoma skin cancer, prostate cancer is the most common cancer among men in the United States. It is also one of the leading causes of cancer death among men.

Paige Prostate is compatible for use with slide images that have been digitized using a scanner. The digitized slide image can then be visualized using a slide image viewer.

The FDA evaluated data from a clinical study where 16 pathologists examined 527 slide images of prostate biopsies (171 cancer and 356 benign) that were digitized using a scanner. For each slide image, each pathologist completed two assessments, one without Paige Prostate’s assistance (unassisted read) and one with Paige Prostate’s assistance (assisted read). While the clinical study did not evaluate the impact on final patient diagnosis, which is typically based on multiple biopsies, the study found that Paige Prostate improved detection of cancer on individual slide images by 7.3% on average when compared to pathologists’ unassisted reads for whole slide images of individual biopsies, with no impact on the read of benign slide images.

Potential risks include false negative and false positive results, which is mitigated by the device’s use as an adjunct (e.g., the device assists pathologists reviewing slide images) and by the professional evaluation by a qualified pathologist who takes into account patient history among other relevant clinical information, and who may perform additional laboratory studies on the samples prior to rendering a final diagnosis.

The FDA reviewed the device through the De Novo premarket review pathway, a regulatory pathway for low- to moderate-risk devices of a new type. Along with this authorization, the FDA is establishing special controls for devices of this type, including requirements related to labeling and performance testing. When met, the special controls, along with general controls, provide reasonable assurance of safety and effectiveness for devices of this type. This action creates a new regulatory classification, which means that subsequent devices of the same type with the same intended use may go through FDA's 510(k) premarket process, whereby devices can obtain marketing authorization by demonstrating substantial equivalence to a predicate device.

The FDA granted marketing authorization of the Paige Prostate software to Paige.AI.

Most Popular Now

AI Identifies Anti-Aging Drug Candidates…

A new publication in the May issue of Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, demonstrates the power...

AI could Improve Heart Attack Diagnosis …

An algorithm developed using artificial intelligence (AI) could soon be used by doctors to diagnose heart attacks with better speed and accuracy than ever before, according to new research from...

AI Predicts Future Pancreatic Cancer

An artificial intelligence (AI) tool has successfully identified people at the highest risk for pancreatic cancer up to three years before diagnosis using solely the patients’ medical records, according to...

New Algorithm can Predict Diabetic Kidne…

Researchers from Sanford Burnham Prebys and the Chinese University of Hong Kong have developed a computational approach to predict whether a person with type 2 diabetes will develop kidney disease...

AI Voice Coach Shows Promise in Depressi…

Artificial intelligence (AI) could be a useful tool in mental health treatment, according to the results of a new pilot study led by University of Illinois Chicago researchers. The study...

AI could Run a Million Microbial Experim…

An artificial intelligence (AI) system enables robots to conduct autonomous scientific experiments - as many as 10,000 per day - potentially driving a drastic leap forward in the pace of...

Scientists develop AI tool to predict Pa…

Scientists from UNSW Sydney with collaborators at Boston University have developed a tool that shows early promise in detecting Parkinson’s disease years before the first symptoms start appearing. In research published...

Better than Humans: AI in Intensive Care…

In the future, artificial intelligence (AI) will play an important role in medicine. In diagnostics, successful tests have already been performed: for example, the computer can learn to categorise images...

Could Online Gaming Social Networks Have…

For millions of Americans playing some type of video game is a daily occurrence. Games can be a welcome form of entertainment and relaxation for many, and the internet can...

ChatGPT Passes Radiology Board Exam

The latest version of ChatGPT passed a radiology board-style exam, highlighting the potential of large language models but also revealing limitations that hinder reliability, according to two new research studies...

Siemens Healthineers Opens State-of-the-…

Siemens Healthineers has opened its new Education & Development Center (EDC) in Erlangen. The open-plan building offers space for the currently 240 trainees and integrated degree program participants in Erlangen...

Siemens Healthineers Invests 80 Million …

Siemens Healthineers is building a new factory in Forchheim for the cultivation of crystals for semiconductor production. The total investment amounts to 80 million euros. The new factory is expected...