Home Health Ultrasound-based AI classifier of thyroid nodules can assist rule out most cancers, keep away from pointless biopsies

Ultrasound-based AI classifier of thyroid nodules can assist rule out most cancers, keep away from pointless biopsies

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Ultrasound-based AI classifier of thyroid nodules can assist rule out most cancers, keep away from pointless biopsies

Artificial intelligence (AI) can be utilized to determine thyroid nodules seen on thyroid ultrasound which can be most unlikely to be cancerous, decreasing numerous pointless biopsies, in line with a brand new research being offered Saturday at ENDO 2022, the Endocrine Society’s annual assembly in Atlanta, Ga.

Thyroid nodules are quite common. Fine needle aspiration biopsy is used to diagnose thyroid most cancers. However most biopsies produce benign (noncancerous) outcomes and are doubtlessly avoidable, in line with research lead researcher Nikita Pozdeyev, M.D., Ph.D., of the University of Colorado Anschutz Medical Campus in Aurora, Colo.

In the brand new research, researchers used machine studying, a kind of AI, to investigate ultrasound pictures of thyroid nodules. Machine studying is the method of utilizing mathematical fashions of information to assist a pc study with out direct instruction.

More than 30,000 pictures from 621 thyroid nodules had been used to coach the machine-learning mannequin that classifies thyroid nodules as “most cancers” or “no most cancers.” The mannequin was examined on a special set of 145 nodules collected at one other healthcare system.

The AI-based mannequin achieved a sensitivity (skill to not miss most cancers) of 97%, and a specificity (skill to appropriately determine a most cancers) of 61%.

This research demonstrates that the ultrasound-based AI classifier of thyroid nodules achieves sensitivity corresponding to that of thyroid biopsy with nice needle aspiration.”

Nikita Pozdeyev, M.D., Ph.D., University of Colorado Anschutz Medical Campus in Aurora, Colo.

“We imagine this can be a good subsequent step to bettering affected person care and avoiding pointless procedures,” he mentioned. He famous that potential scientific trials are wanted earlier than this instrument could be accepted as a normal of care.

Nikita Pozdeyev, M.D., Ph.D., University of Colorado Anschutz Medical Campus in Aurora, Colo.

“We demonstrated that utilizing AI evaluation of ultrasound pictures to rule out thyroid most cancers and keep away from biopsy is certainly attainable,” he mentioned. “This expertise may help radiologists and endocrinologists in selecting which thyroid nodules ought to bear biopsy, particularly these locally who could not assessment numerous thyroid ultrasound pictures.”

Pozdeyev will current on the Society’s ENDO 2022 thyroid health information convention at 11:30 AM Eastern on Monday, June 13. Register to attend the information convention at www.endowebcasting.com.

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