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This article presents 582 bone scan images from 291 adult patients who attended the Nuclear Medicine Service at the Instituto de Investigaciones en Ciencias de la Salud (IICS) of the Universidad Nacional de Asunción (UNA), Paraguay, between 2020 and 2024. The images were acquired using trimodal SPECT-CT-PET equipment, model AnyScan SCP, and the MEDISO brand. Approximately 20 mCi of technetium-99m methylene diphosphonate (Tc-MDP) was administered to each patient, producing whole-body planar images in anterior and posterior projections of the axial and appendicular skeleton with a resolution of 256 × 1024 pixels.

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To analyze the clinical characteristics of patients with metastatic calcification undergoing maintenance dialysis. Patients diagnosed with metastatic calcification via 99mTc-MDP bone scintigraphy between June 2019 and March 2023 at our hospital were included in this study. All patients were followed from the time of diagnosis until death, loss to follow-up, or the study endpoint (July 2023).

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Purpose: The aim of this study was to evaluate the effectiveness of single-photon emission computed tomography/computed tomography (SPECT/CT) in detecting and localizing the causative vertebra in cases of suspected fresh osteoporotic vertebral compression fractures (OVCFs) in patients with contraindications to MRI.

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Background: Tc-stannous methylene diphosphonate (Tc-MDP) bone single-photon emission computed tomography/computed tomography (SPECT/CT) imaging plays a crucial role in various clinical applications. Many strategies have been developed to reduce the injection activity and procedure time, improve the patient experience and reduce their anxiety prior to and during SPECT imaging. This study aimed to evaluate the SwiftScan mode and its effect on image quality, and diagnostic performance of malignant skeletal lesions in bone SPECT image.

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AI-Based Noise-Reduction Filter for Whole-Body Planar Bone Scintigraphy Reliably Improves Low-Count Images.

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November 2024

Division of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.

: Artificial intelligence (AI) is a promising tool for the enhancement of physician workflow and serves to further improve the efficiency of their diagnostic evaluations. This study aimed to assess the performance of an AI-based bone scan noise-reduction filter on noisy, low-count images in a routine clinical environment. : The performance of the AI bone-scan filter (BS-AI filter) in question was retrospectively evaluated on 47 different patients' Tc-MDP bone scintigraphy image pairs (anterior- and posterior-view images), which were obtained in such a manner as to represent the diverse characteristics of the general patient population.

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