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Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis.
Neurosurg Rev
January 2025
Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA.
Currently, the World Health Organization (WHO) grade of meningiomas is determined based on the biopsy results. Therefore, accurate non-invasive preoperative grading could significantly improve treatment planning and patient outcomes. Considering recent advances in machine learning (ML) and deep learning (DL), this meta-analysis aimed to evaluate the performance of these models in predicting the WHO meningioma grade using imaging data.
View Article and Find Full Text PDFAssociation between symptom characteristics and disease severity in patients suspected of coronary artery disease.
J Cardiovasc Comput Tomogr
January 2025
Department of Cardiology, Gødstrup Hospital, Herning, Denmark.
Background: Discrepancies often exist between patient-reported symptoms and diagnostic test findings in patients with suspected obstructive coronary artery disease (CAD).
Objectives: To quantify the association between patient-reported symptoms and the diagnosis of severe stenosis in patients with suspected obstructive CAD.
Methods: Two large-scale cohorts of patients with new-onset symptoms suggestive of obstructive CAD were evaluated.
Metabolic dysfunction-associated steatotic liver disease in children.
Gut
January 2025
Division of Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, University of California San Diego School of Medicine, La Jolla, California, USA
Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as non-alcoholic fatty liver disease, is the most common cause of chronic liver disease in children. MASLD encompasses a spectrum of liver disease and can be severe, with 10% of affected children presenting with advanced fibrosis. While biopsy remains the most accurate method for diagnosing and staging the disease, MRI proton density fat fraction and magnetic resonance elastography are the most reliable non-invasive measures for assessing steatosis and fibrosis, respectively.
View Article and Find Full Text PDFUtility of the combination of high fluorescence cells and tumor markers for the diagnosis of malignant pleural effusions.
Clin Biochem
January 2025
Laboratory Department, CLILAB, Sant Joan Despí-Moisès Broggi Hospital, Sant Joan Despí, Spain.
Background: New diagnostic tools have emerged to assist the traditional diagnosis of malignant pleural effusion (MPE), such as high fluorescence cells (HFc) and tumor markers (TMs), determined by clinical laboratory automated pleural fluid workup. This study aimed to evaluate the diagnostic ability of the combination of HFc and TMs for diagnosing MPE.
Methods: We recruited hospitalized patients with pleural effusion at Parc Taulí University Hospital.
Investigating the Relative Importance of Tear Homeostatic Signs for the Diagnosis of Dry Eye Disease.
Ocul Surf
January 2025
Department of Ophthalmology, New Zealand National Eye Centre, The University of Auckland, Auckland, New Zealand; College of Health & Life Sciences, School of Optometry, Aston University, Birmingham, UK.
Aim: Disease misdiagnosis is more likely if standardised diagnostic criteria are not used. This study systematically examined the effect on diagnosing dry eye disease (DED), when tests for evaluating tear film homeostasis were included/excluded from a multi-test protocol.
Method: For 1427 participants across five sites, data for the full suite of diagnostic tests defined in the Tear Film and Ocular Surface Society Dry Eye Workshop II (TFOS DEWS II) Diagnostic Methodology report algorithm were evaluated; diagnostic sensitivity was calculated when individual signs were removed, and when different combinations of signs were required.
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