Skip to main content
Clinical Trials/NCT06449742
NCT06449742
Not yet recruiting
Not Applicable

A Prospective Observational Study of Artificial Intelligence Morphometric Evaluation of Vertebral Fractures

IRCCS San Raffaele0 sites250 target enrollmentMarch 1, 2025

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Not specified
Sponsor
IRCCS San Raffaele
Enrollment
250
Primary Endpoint
Number of fractures detected with CT scans trough AI software and 3D reconstruction
Status
Not yet recruiting
Last Updated
last year

Overview

Brief Summary

The study will be conducted as a monocentric observational prospective study design wants to evaluate the prevalence of vertebral fractures in the cohort of patients that perform a chest-abdomen CT for medical indication other than osteometabolic pathologies.

Detailed Description

This study aimed to evaluate the prevalence of vertebral fractures in a cohort of patients that perform a chest-abdomen CT for medical indication other than osteometabolic pathologies.It is estimated that 250 patients will be enrolled (Patients will be enrolled in retrospective and prospective way between 01/03/2025 and 28/02/2026. The presence of one or more vertebral fractures will be evaluated through the radiological medical assessment with automatic 3D reconstruction of the thoracic and lumbar spine and by application of the AI software NanoxAIHealthVCF NANO-X IMAGING LTD on abdomen-chest CT studies. Clinical, anthropometric, and anamnestic data will be collected from patients undergoing CT assessments. These data will be collected on the day of the radiological examination. There will be only one evaluation at the time of the CT scan. Only in case of fracture detection, via radiological medical assessment and/or via AI software, the patient will be subsequently evaluated in the Endocrinology Unit as for standard of care.

Registry
clinicaltrials.gov
Start Date
March 1, 2025
End Date
March 1, 2027
Last Updated
last year
Study Type
Observational
Sex
Male

Investigators

Responsible Party
Principal Investigator
Principal Investigator

Luigi Di Filippo

Medical Physician Specialist in Endocrinology

IRCCS San Raffaele

Eligibility Criteria

Inclusion Criteria

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

Exclusion Criteria

  • Hospitalized patients
  • Patients known to have osteo-metabolic diseases.
  • 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)
  • Patients unable to understand and sign the Informed Consent.

Outcomes

Primary Outcomes

Number of fractures detected with CT scans trough AI software and 3D reconstruction

Time Frame: from 01/03/2025 to 28/02/2026

The UO of Endocrinology, in collaboration with the UO of Radiology of the IRCCS San Raffaele Hospital, proposes to assess the prevalence of vertebral fractures prospectively in the population afferent to our hospital to perform abdomen-chest CT studies through the radiological medical evaluation with automatic 3D reconstruction of the thoracic and lumbar spine and the application of the AI software cNanoxAIHealthVCF, NANO-X IMAGING LTD.

Similar Trials