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Association between cardiovascular health and metabolic dysfunction-associated steatotic liver disease: a nationwide cross-sectional study.
J Health Popul Nutr
January 2025
Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, No. 55 Zhenhai Road, Xiamen, 361003, China.
Purpose: Evidence concerning the effect of cardiovascular health (CVH) on the risk of metabolic dysfunctional-associated steatotic liver disease (MASLD) is scarce. This study aimed to investigate the association between CVH and MASLD.
Methods: 5680 adults aged ≥ 20 years from the National Health and Nutrition Examination Survey 2017-March 2020 were included.
Mfsd2a suppresses colorectal cancer progression and liver metastasis via the S100A14/STAT3 axis.
J Transl Med
January 2025
Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Background: Colorectal cancer (CRC) exhibits a high incidence globally, with the liver being the most common site of distant metastasis. At the time of diagnosis, 20-30% of CRC patients already present with liver metastases. Colorectal liver metastasis (CRLM) is a major cause of mortality among CRC patients.
View Article and Find Full Text PDFF-FAPI-42 PET/CT and F-FDG PET/CT in Patients with Malignant Digestive System Neoplasms: A Head-to-Head Comparative Study.
Mol Imaging Biol
January 2025
Department of Nuclear Medicine, the Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China.
Purpose: Radionuclide-labeled fibroblast activation protein inhibitor (FAPI) is an emerging tumor tracer. We sought to assess the uptake and diagnostic performance of F-FAPI-42 PET/CT compared with simultaneous 2-deoxy-2[F]fluoro-D-glucose (F-FDG) PET/CT in primary and metastatic lesions in patients with malignant digestive system neoplasms and to determine the potential clinical benefit.
Procedures: Forty-two patients (men = 30, women = 12, mean age = 56.
Toward efficient slide-level grading of liver biopsy via explainable deep learning framework.
Med Biol Eng Comput
January 2025
Pathology Department, Beijing Youan Hospital, Capital Medical University, Beijing, 100000, China.
In the context of chronic liver diseases, where variability in progression necessitates early and precise diagnosis, this study addresses the limitations of traditional histological analysis and the shortcomings of existing deep learning approaches. A novel patch-level classification model employing multi-scale feature extraction and fusion was developed to enhance the grading accuracy and interpretability of liver biopsies, analyzing 1322 cases across various staining methods. The study also introduces a slide-level aggregation framework, comparing different diagnostic models, to efficiently integrate local histological information.
View Article and Find Full Text PDFCharacterization of SARS-CoV-2 Diagnostic Tests and Liver Function Tests Among Patients With COVID-19 Diagnosed in Outpatient Settings Using Administrative Healthcare Data and Data From Commercial Laboratories.
Pharmacoepidemiol Drug Saf
January 2025
Aetion Inc., New York, New York, USA.
Purpose: To characterize select laboratory tests ordered versus reported for patients diagnosed with COVID-19 in administrative healthcare and commercial laboratory data.
Methods: Among patients with an outpatient COVID-19 diagnosis claim in HealthVerity data (01/01/2021-12/31/2022), this study described baseline characteristics and descriptively compared SARS-CoV-2 diagnostic tests and liver function tests from administrative healthcare (insurance claims and hospital billing data) and commercial laboratories, overall and by code type (e.g.
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