Code for quantitative CT tissue characterization goes into effect on July 1.
The American Medical Association (AMA) has reportedly issued a new Category III Current Procedural Terminology (CPT) code that radiologists and other clinicians may employ for quantitative CT tissue characterization, according to Nanox and Nanox.AI.
The companies said this code (going into effect on July 1) may provide a pathway for broader use of their artificial intelligence (AI)-enabled HealthCCSng, a cardiac imaging modality which radiologists may use adjunctively with chest computed tomography (CT) to help quantify coronary artery calcium (CAC), a key biomarker of cardiovascular disease.
While assessing CAC with chest CT alone can be a time-consuming endeavor, Nanox noted the FDA-cleared HealthCCSng facilitates efficient analysis of non-gated CT scans, quantifies the amount of CAC and subsequently provides risk stratification for patients into three categories based on the CAC detected.
“AI-enabled technologies that are built into existing radiologist workflows can help them identify at-risk patients and provide enhanced clinical insights,” said Erez Meltzer, the chief executive officer for Nanox. “We believe this (CPT code) is an important milestone that will enable radiologists and physicians in the United States to provide their patients with better care and a promising step toward realizing … the growing importance of AI-based imaging technologies in value-based care.”
Considering Breast- and Lesion-Level Assessments with Mammography AI: What New Research Reveals
June 27th 2025While there was a decline of AUC for mammography AI software from breast-level assessments to lesion-level evaluation, the authors of a new study, involving 1,200 women, found that AI offered over a seven percent higher AUC for lesion-level interpretation in comparison to unassisted expert readers.