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Clinical trial Recruiting at 1 site Observational Ages 18 and up

Using artificial intelligence to improve parathyroid adenoma detection

Official title: Contribution to Disease Diagnosis and Prognosis Based on the Fusion of Expert Knowledge, Nuclear Medicine Imaging and Artificial Intelligence (AI) Tools

Run by Centre Hospitalier Universitaire de Besancon · NCT05963841 · Data updated 2026-11-12

This study is testing whether using artificial intelligence can help doctors find parathyroid adenomas more accurately in patients who have had specific imaging tests.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment1 (estimated)
SponsorCentre Hospitalier Universitaire de Besancon
Academic / other
Locations1 site (Besançon)
StatusRecruiting
StartedAugust 1, 2023
Main results expectedAugust 2026
Study endsAugust 2027
Registry record updatedFebruary 7, 2024
Trial IDNCT05963841 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are men and women over 18 years old who have undergone dual-isotope parathyroid scintigraphy as per the standard protocol.

Probably not a fit

Patients who refuse to allow their data to be used for research purposes or who did not follow the standard acquisition protocol will not benefit from this study.

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

What this trial studies

This observational study aims to develop artificial intelligence algorithms to enhance the detection of parathyroid adenomas in patients who have undergone dual-isotope parathyroid scintigraphy. The study will utilize existing imaging data from standard diagnostic procedures to create a program that automatically subtracts planar and tomographic images, thereby improving the localization of adenomas. The research will also evaluate the concordance between diagnoses made using traditional methods and the new AI-assisted approach. The goal is to streamline the diagnostic process and improve accuracy in identifying parathyroid conditions.

Why it matters

Potential benefit: If successful, this study could lead to more accurate and efficient diagnosis of hyperparathyroidism, potentially improving patient outcomes.

How similar studies have gone: While there are existing software solutions for parathyroid imaging, this study's focus on AI-driven automatic image processing represents a novel approach that has not been extensively tested.

Who can join: the full rules

Show full inclusion / exclusion criteria 
Inclusion Criteria:

* Men and women over 18 years of age who underwent dual-isotope parathyroid scintigraphy.
* No refusal to use data for research purposes
* Retrospective data (after 13/04/2022: Date of posting of patient information in the department) and prospective data

Exclusion Criteria:

* Patient refusal to use data for research purposes
* Patients who did not benefit from the standard acquisition protocol (123I injection followed by 99mTc 3 hours after LEHR, PINHOLE and SPECT/CT acquisitions)

Where it's running

  • CHU Besancon
    Besançon, France     Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

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.
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Hyperparathyroidism 8Centre Hospitalier Universitaire de Besancon 30
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.