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Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments.
Eur J Nucl Med Mol Imaging
January 2025
Department of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Spitalgasse 23, Vienna, 1090, Austria.
Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.
Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.
Effectiveness and safety of radionuclide synovectomy with Yttrium-90 hydroxyapatite in patients with inflammatory arthritis: a longitudinal study.
Nucl Med Commun
January 2025
Department of Pharmacology.
Background And Objective: Yttrium-90 plays a significant role in managing drug-resistant inflammatory arthritis through radionuclide synovectomy, where the radioisotope is injected into the affected joint to alleviate pain and inflammation by targeting the synovial tissue. This study aims to evaluate the effectiveness and safety of Yttrium-90 hydroxyapatite radionuclide synovectomy in improving joint functionality, as judged by physicians, in patients with inflammatory arthritis who had not responded to conventional treatments.
Methods: Patients with inflammatory arthritis were recruited from the orthopedics department and referred to the nuclear medicine department for evaluation.
The Role of Serum HMGB-1 Level in Differentiating the Soft-Tissue Infection From Diabetic Foot Osteomyelitis.
J Am Podiatr Med Assoc
January 2025
†Medical Point Gaziantep Hospital, Gaziantep, Turkey.
Background: The incidence of diabetic foot infections is increasing due to the rising number of persons with diabetes and the prolonged life expectancy. It is vital to differentiate soft-tissue infection (STI) from diabetic foot osteomyelitis (DFO), as treatment modalities and durations vary widely, but this can be challenging. We aimed to assess the blood concentration levels of the high mobility group box 1 protein (HMGB-1) in STI and DFO compared to healthy subjects, and to investigate whether this protein could contribute to differentiating STI from DFO.
View Article and Find Full Text PDFDetermination of adequate bony resection margins in inflammatory jaw pathologies using SPECT-CT in primary mandibular reconstruction with virtually planned vascularized bone flaps.
Clin Oral Investig
January 2025
Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, D-52074, Aachen, Germany.
Objectives: In advanced stages of osteoradionecrosis, medication-related osteonecrosis of the jaw, and osteomyelitis, a resection of sections of the mandible may be unavoidable. The determination of adequate bony resection margins is a fundamental problem because bony resection margins cannot be secured intraoperatively. Single-photon emission computed tomography (SPECT-CT) is more accurate than conventional imaging techniques in detecting inflammatory jaw pathologies.
View Article and Find Full Text PDFInteractive segmentation for accurately isolating metastatic lesions from low-resolution, large-size bone scintigrams.
Phys Med Biol
January 2025
Charles Sturt University, Albury-Wodonga, NSW, Albury, New South Wales, 2640, AUSTRALIA.
Bone is a common site for the metastasis of malignant tumors, and Single Photon Emission Computed Tomography (SPECT) is widely used to detect these metastases. Accurate delineation of metastatic bone lesions in SPECT images is essential for developing treatment plans. However, current clinical practices rely on manual delineation by physicians, which is prone to variability and subjective interpretation.
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