Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments. [PDF]
Haberl D +21 more
europepmc +1 more source
AI-Based Noise-Reduction Filter for Whole-Body Planar Bone Scintigraphy Reliably Improves Low-Count Images. [PDF]
Csikos C +9 more
europepmc +1 more source
High Uptake Detection for Spinal Degenerative Changes: A Comparison Between Bone Scintigraphy and Single Photon Emission Computed Tomography Combined With High-Resolution Computed Tomography. [PDF]
Dimitriu MI +5 more
europepmc +1 more source
An evaluation of the diagnostic performance of the triphasic bone scintigraphy in patients suspected of aseptic total knee arthroplasty loosening. [PDF]
Buijs GS +3 more
europepmc +1 more source
Diagnostic Performance of Infrared Thermography, Quantitative Sudomotor Axonal Reflex Testing, and 3-Phase Bone Scintigraphy for Complex Regional Pain Syndrome Diagnosis: A Retrospective Observational Study. [PDF]
Noh C +8 more
europepmc +1 more source
Deep learning model using planar whole-body bone scintigraphy for diagnosis of skull base invasion in patients with nasopharyngeal carcinoma. [PDF]
Mu X +8 more
europepmc +1 more source
Recommendations for good clinical practice for DPD bone scintigraphy for cardiac amyloidosis. [PDF]
Wechalekar K +9 more
europepmc +1 more source
[Diagnostic value of <sup>99m</sup>Tc-MDP three-phase bone scintigraphy combined with C-reaction protein for periprosthetic joint infection]. [PDF]
Liu G +9 more
europepmc +1 more source
Evaluation of sarcoidosis with multiple bone lesions using both bone scintigraphy and FDG-PET/CT: A case report. [PDF]
Kadoma N +7 more
europepmc +1 more source

