Category: radiology

CT attenuation as a biomarker of mild-to-moderate anemia: development of a non-contrast chest CT prediction model

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Purpose: Non-contrast thoracic computed tomography (CT) may incidentally demonstrate imaging features associated with anemia and could complement laboratory testing, particularly in mild-to-moderate cases that are often clinically unrecognized. This study aimed to evaluate the relationship between visual signs and attenuation-based measurements on non-contrast chest CT and mild-to-moderate anemia, and to develop a combined prediction model… Continue reading CT attenuation as a biomarker of mild-to-moderate anemia: development of a non-contrast chest CT prediction model

Multimodality imaging in #hypertrophic #cardiomyopathy

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Hypertrophic cardiomyopathy (HCM) is a myocardial disorder characterized by unexplained myocardial hypertrophy. Although the diagnosis of HCM is traditionally based on increased left ventricular (LV) wall thickness, contemporary management requires a comprehensive multimodality imaging approach to accurately define disease phenotype, assess functional consequences, and guide risk stratification. Transthoracic echocardiography remains the first-line imaging modality, providing… Continue reading Multimodality imaging in #hypertrophic #cardiomyopathy

Efficiency and Quality of Generative #AI–Assisted #Radiograph Reporting

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Question  Is clinical use of artificial intelligence (AI)–generated draft radiograph reports associated with documentation efficiency, clinical accuracy, textual quality, and ability to promptly detect pneumothorax requiring intervention?Findings  In this cohort study, in 11 980 model-assisted radiograph interpretations in live clinical care, model use was associated with a 15.5% documentation efficiency improvement, with no change in radiologist-evaluated… Continue reading Efficiency and Quality of Generative #AI–Assisted #Radiograph Reporting

AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults

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BackgroundBody composition data have been limited to adults with disease or older age. The prognostic impact in otherwise asymptomatic adults is unclear.PurposeTo use artificial intelligence–based body composition metrics from routine abdominal CT scans in asymptomatic adults to clarify the association between obesity, liver steatosis, myopenia, and myosteatosis and the risk of mortality. Materials and MethodsIn… Continue reading AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults