Clinical trial Recruiting at 1 site Observational Ages 50 and up Men only

AI detection of vertebral fractures on routine chest‑abdomen CT for men over 50

Official title: A Prospective Observational Study of Artificial Intelligence Morphometric Evaluation of Vertebral Fractures

Run by IRCCS San Raffaele · NCT06449742 · Data updated 2026-11-12

This project will try AI software to find vertebral fractures on chest‑abdomen CT scans in men aged 50 and older who have CTs for reasons other than bone disease.

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Quick facts

Study typeObservational
Ages50 Years and up
SexMen only
Enrollment250 (estimated)
SponsorIRCCS San Raffaele
Academic / other
Locations1 site (Milan, Italy)
StatusRecruiting
StartedMarch 1, 2025
Main results expectedMarch 30, 2026
Study endsMarch 1, 2027
Registry record updatedApril 8, 2026
Trial IDNCT06449742 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Men aged 50 years or older who are outpatients undergoing a chest‑abdomen CT at IRCCS Ospedale San Raffaele for reasons other than known osteometabolic disease and who can give informed consent.

Probably not a fit

Hospitalized patients, those with known osteometabolic disease or severe comorbidities, women, or anyone unable to provide informed consent are not eligible and are unlikely to benefit from this screening approach.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This monocentric prospective observational project will apply automatic 3D reconstruction and the NanoxAIHealthVCF (NANO‑X IMAGING LTD) software to chest‑abdomen CT scans to identify vertebral fractures. About 250 male patients aged 50 and over undergoing CT for indications unrelated to osteometabolic disease will be enrolled retrospectively and prospectively between March 1, 2025 and February 28, 2026. Radiological assessment with 3D reconstructions will be compared with the AI outputs while clinical, anthropometric, and anamnestic data are collected on the day of the CT. There is a single study evaluation at the time of the CT, and patients with detected fractures will be referred to the Endocrinology Unit per standard of care.

Why it matters

Potential benefit: If successful, this approach could uncover previously unrecognized vertebral fractures on routine CTs and prompt earlier osteoporosis evaluation and treatment.

How similar studies have gone: Prior research using AI to detect vertebral fractures on CT scans has shown promising sensitivity and specificity, though results vary and routine clinical adoption is still limited.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

1. Male subjects
2. Age ≥ 50 years
3. Clinical and medical history data available at abdomen-chest CT evaluation
4. Signature of informed consent to the study

Exclusion Criteria:

1. Hospitalized patients
2. Patients known to have osteo-metabolic diseases.
3. with primary and/or acquired immunodeficiency states, and/or severe impairment of general clinical condition (e.g. metastatic neoplasms; immunosuppressive therapies; worsening/reacute/compensated chronic diseases; moderate-severe renal failure)
4. Patients unable to understand and sign the Informed Consent.

Where it's running

  • IRCCS Ospedale San Raffaele
    Milan, Italy, Italy
    Recruiting

Study contacts

  • Principal investigator: Andrea Giustina, MD — IRCCS Ospedale San Raffaele and Vita-Salute San Raffaele University
  • Study coordinator: Luigi Di Filippo, MD
  • Email: difilippo.luigi@hsr.it
  • Phone: 0226435062

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.