About this trial
Artificial intelligence algorithms for parathyroid adenoma detection in parathyroid scans The aim of the study is to develop programs for the automatic subtraction of planar and tomographic parathyroid images and for the localization of parathyroid adenomas using artificial intelligence tools.
Inclusion criteria Patients having undergone a double isotope parathyroid diagnostic examination using the standard Besançon University Hospital protocol (double injection of 123I and 99mTc, pinhole image, low energy high resolution (LEHR) and (single-photon emission tomography / Computed tomography) SPECT/CT +/- (positron emission tomography (PET) Choline).
Secondary endpoints Concordance between diagnoses made by nuclear physicians using both methods (current method and new treatment method).
Eligibility criteria
Qualifiers
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
Disqualifiers
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)
Trial design
Treatments tested in this trial
- treatment program
Treatment groups
Sponsors and collaborators
Centre Hospitalier Universitaire de Besancon
Lead sponsor
Franche-Comté Electronique Mécanique Thermique et Optique - Sciences et Technologies, UMR 6174
Collaborator