Calidar has initiated a first-in-human clinical study of its investigational 4D mammography system, which uses X-ray diffraction to detect breast cancer by identifying molecular-level tissue signatures.

The Research Triangle Park, North Carolina-based startup said the trial marks the first known instance of in-human X-ray diffraction spectral imaging. The system, which integrates patented hardware licensed from Duke University, aims to provide structural insights into breast tissue composition that are not available through conventional imaging.

In traditional mammography, radiologists rely on tissue shape and density to identify suspicious areas. Calidar’s system instead measures how X-rays scatter at the molecular level, creating a distinct fingerprint for different tissue types. According to the company, earlier ex vivo research demonstrated that these fingerprints enabled four times the diagnostic precision compared to standard imaging methods.
"This is more than a study milestone — this is the start of a new era of medical imaging," said Dr. Stefan Stryker, CEO of Calidar. “X-ray diffraction has unlocked some of the most iconic achievements in science ... and now we are bringing its power into the clinic to look inside the human body in a completely new way.”

The initial study, being conducted in partnership with Baptist Health Hardin in Elizabethtown, Kentucky, is evaluating the system’s ability to distinguish between healthy and cancerous tissue in patients already flagged for further diagnostic evaluation. Dr. Craig Kamen is serving as principal investigator.

The system remains investigational and is not currently approved for commercial use. It is being studied under FDA abbreviated Investigational Device Exemption (IDE) requirements. Calidar plans to explore screening applications in future research.

Roughly 1.5 million breast biopsies are performed each year in the U.S., with up to 80% yielding benign results, contributing to billions in healthcare costs and added burden for providers. Calidar’s technology seeks to reduce unnecessary procedures and improve diagnostic confidence in early-stage breast cancer detection.

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