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Precision in Liver Diagnosis: Varied Accuracy Across Subgroups and the Need for Variable Thresholds in Diagnosis of MASLD.
Liver Int
February 2025
Department of Epidemiology and Data Science, Amsterdam University Medical Centres, Amsterdam, The Netherlands.
Background And Aims: The performance of non-invasive liver tests (NITs) is known to vary across settings and subgroups. We systematically evaluated whether the performance of three NITs in detecting advanced fibrosis in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) varies with age, sex, body mass index (BMI), type 2 diabetes mellitus (T2DM) status or liver enzymes.
Methods: Data from 586 adult LITMUS Metacohort participants with histologically characterised MASLD were included.
PSMA PET/CT based multimodal deep learning model for accurate prediction of pelvic lymph-node metastases in prostate cancer patients identified as candidates for extended pelvic lymph node dissection by preoperative nomograms.
Eur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan, 410008, P.R. China.
Purpose: To develop and validate a prostate-specific membrane antigen (PSMA) PET/CT based multimodal deep learning model for predicting pathological lymph node invasion (LNI) in prostate cancer (PCa) patients identified as candidates for extended pelvic lymph node dissection (ePLND) by preoperative nomograms.
Methods: [Ga]Ga-PSMA-617 PET/CT scan of 116 eligible PCa patients (82 in the training cohort and 34 in the test cohort) who underwent radical prostatectomy with ePLND were analyzed in our study. The Med3D deep learning network was utilized to extract discriminative features from the entire prostate volume of interest on the PET/CT images.
Research on noise-induced hearing loss based on functional and structural MRI using machine learning methods.
Sci Rep
January 2025
Imaging Department, Yantaishan Hospital, Yantai, China.
Noise-induced hearing loss (NIHL) is a common occupational condition. The aim of this study was to develop a classification model for NIHL on the basis of both functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (sMRI) by applying machine learning methods. fMRI indices such as the amplitude of low-frequency fluctuation (ALFF), fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), degree of centrality (DC), and sMRI indices such as gray matter volume (GMV), white matter volume (WMV), and cortical thickness were extracted from each brain region.
View Article and Find Full Text PDFSymptomatic Cervical Carotid Artery Stenosis: Evolving Paradigms in Risk Stratification and Intervention.
Ann Indian Acad Neurol
January 2025
Departments of Clinical Neurosciences and Community Health Sciences, The Hotchkiss Brain Institute, The Mathison Centre for Mental Health Research and Education, and The O'Brien Institute for Public Health, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada.
Symptomatic carotid disease, characterized by atherosclerotic or non-atherosclerotic internal carotid artery disease with ipsilateral stroke symptoms, represents a critical condition in stroke neurology. This "hot carotid" state carries a high risk of stroke recurrence, with almost one-fourth of the patients experiencing recurrent ischemic events within 2 weeks of initial presentation. The global prevalence of significant carotid stenosis (conventionally defined as ≥50% narrowing) is estimated at around 1.
View Article and Find Full Text PDFDynamic structural characteristics and vibration susceptibility of Tongren loess under the influence of water content and confining pressure.
Sci Rep
January 2025
Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing, 100081, China.
Loess is extensively developed on both sides of the Longwu River, a tributary of the Yellow River, Tongren County, Qinghai Province. The engineering geological characteristics are complex, and landslide disasters are highly developed. Based on field geological surveys and physical property analysis of the loess in this area, this study analyzes the influence of water content, consolidation pressure, and soil disturbance on the dynamic characteristics of loess using GDS dynamic triaxial tests.
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