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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.

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Cardiac amyloidosis (CA) is an infiltrative disease that results from the deposition of amyloid fibrils in the myocardium, resulting in restrictive cardiomyopathy. The amyloid fibrils are predominantly derived from two parent proteins, immunoglobulin light chain (AL) and transthyretin (ATTR), and ATTR is further classified into hereditary (ATTRv) and wild-type (ATTRwt) based on the presence or absence, respectively, of a mutation in the transthyretin gene. Once thought to be a rare entity, CA is increasingly recognized as a significant cause of heart failure due to improved clinical awareness and better diagnostic imaging.

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Diagnostic Feasibility of Cardiac PET CT in the Evaluation of Inflammatory, Infectious, and Malignant Heart Disease.

R I Med J (2013)

February 2025

Alpert Medical School of Brown University, Department of Medicine, Division of Cardiology, Rhode Island Hospital.

Cardiac Positron Emission Tomography (PET) is a power- ful imaging tool with diverse applications in the detection and diagnosis of various cardiac conditions, including inflammatory, infectious, and neoplastic processes. Using the radiotracer 18F-fluorodeoxyglucose (18F-FDG), cardiac PET enables the identification of cardiac involvement in diseases such as sarcoidosis and severe infections affecting the heart tissue. Additionally, 18F-FDG PET is valuable in the evaluation of cardiac masses, helping to assess their metabolic activity and potential malignancy.

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Cardiac Positron Emission Tomography (PET) can be used for the assessment of myocardial perfusion. Compared to other cardiac imaging techniques, notably Single Photon Emission Computer Tomography (SPECT), cardiac PET offers superior image resolution, higher accuracy, quantitative measures of myocardial perfusion, lower radiation exposure, and shorter image acquisition time. However, PET tends to be costlier and less widely available than SPECT due to the specialized equipment needed for generating the necessary radiotracers.

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Background: Hereditary transthyretin (ATTRv) amyloidosis is a rare, adult-onset autosomal-dominant disorder caused by pathogenic variants in the transthyretin (TTR) gene. Data about relevant variants in specific populations and typical initial manifestations may facilitate early diagnosis and treatment. We here describe the genetic landscape of ATTRv amyloidosis in Israel.

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