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Prediction of microvascular invasion in hepatocellular carcinoma patients with MRI radiomics based on susceptibility weighted imaging and T2-weighted imaging
BackgroundThe accurate identification of microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) is of great clinical importance.
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Impact and effect of imaging referral guidelines on patients and radiology services: a systematic review
ObjectivesThe objective of this systematic review was to offer a comprehensive overview and explore the associated outcomes from imaging referral...
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The use of artificial intelligence in musculoskeletal ultrasound: a systematic review of the literature
PurposeTo systematically review the use of artificial intelligence (AI) in musculoskeletal (MSK) ultrasound (US) with an emphasis on AI algorithm...
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The association between cardiac T2*BOLD and quantitative flow ratio (QFR) in the diagnosis of stenotic coronary arteries in patients with multi-vessel coronary artery disease
BackgroundT2*BOLD is based on myocardial deoxyhemoglobin content to reflect the state of myocardial oxygenation. Quantitative flow ratio is a tool...
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Feasibility and diagnostic accuracy of fast whole-body MRI in slightly to moderately injured trauma patients
ObjectivesTo determine the feasibility and diagnostic accuracy of fast whole-body magnetic resonance imaging (WB-MRI) compared to whole-body computed...
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The role of upper airway ultrasonography in tracheal necrosis diagnosis: a case report
BackgroundTracheal necrosis post endotracheal intubation is a rare life-threatening disease that can compromise airway patency. We demonstrated a...
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Automated classification of brain MRI reports using fine-tuned large language models
PurposeThis study aimed to investigate the efficacy of fine-tuned large language models (LLM) in classifying brain MRI reports into pretreatment,...
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Development and validation of AI-derived segmentation of four-chamber cine cardiac magnetic resonance
BackgroundCardiac magnetic resonance (CMR) in the four-chamber plane offers comprehensive insight into the volumetrics of the heart. We aimed to...
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Medical imaging in cancer cachexia
Cancer cachexia, often referred to as “wasting syndrome,” is characterized by fatigue, weakness, and involuntary weight loss. This syndrome is...
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The impact of lipoprotein(a) level on cardiac pathologies in diabetes: a cardiac CT study
ObjectivesWe aimed to explore the imaging profile of coronary atherosclerosis, perivascular inflammation, myocardial perfusion, and interstitial...
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ChatGPT’s diagnostic performance based on textual vs. visual information compared to radiologists’ diagnostic performance in musculoskeletal radiology
ObjectivesTo compare the diagnostic accuracy of Generative Pre-trained Transformer (GPT)-4-based ChatGPT, GPT-4 with vision (GPT-4V) based ChatGPT,...
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Primary splenic angiosarcoma: a rare case of embolization as a bridge to splenectomy
Primary splenic angiosarcoma is the primary malignant vascular neoplasm of the spleen. This tumor is highly aggressive and extremely rare with a...
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High resolution imaging of human development: shedding light on contrast agents
BackgroundVisualizing (micro)vascular structures remains challenging for researchers and clinicians due to limitations in traditional radiological...
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The value of deep learning-based X-ray techniques in detecting and classifying K-L grades of knee osteoarthritis: a systematic review and meta-analysis
ObjectivesKnee osteoarthritis (KOA), a prevalent degenerative joint disease, is primarily diagnosed through X-ray imaging. The Kellgren-Lawrence...
