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Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.

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This is a case of a young, 20-year-old, male Navy recruit who was admitted to our healthcare facility with intermittent atypical chest pain and limiting exertional symptoms and was diagnosed with myocardial bridging (MB) as the most likely etiology of his chest after the complete cardiac workup, leading to his career limitations due to potential risks. Our patient presented with atypical chest pain and limiting exertional symptoms. Chest pain was non-radiating.

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Introduction: Knee alignment significantly impacts the outcome of total knee arthroplasty (TKA). Understanding patient perceptions of their knee alignment in relation to objective measurements is essential to ensure optimal surgical outcomes and to meet patients' expectations. This study reports patients' perception of pre- and postoperative knee alignment in relation to radiographic alignment measurements.

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Eclampsia is a multisystem disorder of pregnancy and the puerperium. Posterior reversible encephalopathy syndrome (PRES), a neurotoxic condition characterized by various neurological symptoms, can arise from multiple causes including eclampsia. Although hemorrhage is a possible complication of PRES, subarachnoid hemorrhage (SAH) is a rare occurrence in eclamptic patients with this condition.

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Clinical application of third-generation dual-source CT-based dynamic imaging reconstruction for pulmonary embolism imaging.

J Cardiothorac Surg

January 2025

Department of Thyroid Breast Cardiothoracic & Vascular Surgery, Beibei District Hospital of Traditional Chinese Medicine, No. 380 Jiangjun Road, Beibei District, Chongqing, 400700, China.

Background: To evaluate the clinical diagnostic value of third-generation dual-source CT for pulmonary embolism, focusing on the optimization of dual-source CT scanning with dynamic reconstruction in acute pulmonary embolism (PE) and various imaging manifestations.

Methods: Eighty-two patients with pulmonary embolism were enrolled and randomly divided into standard CT angiography (SCTA) and dynamic CT angiography (DCTA). DCTA patients were divided into dynamic CT angiography arterial phase (DCTAa), time phase Angiography reconstruction (TMIP-CTA), and 4D noise reduction TMIP-CTA according to the image reconstruction.

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