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  • Jiang, YF, et al. (författare)
  • Low Bone Mineral Density Is Not Associated with Subclinical Atherosclerosis: A Population-Based Study in Rural China
  • 2018
  • Ingår i: Cardiology. - : S. Karger AG. - 1421-9751 .- 0008-6312. ; 141:2, s. 78-87
  • Tidskriftsartikel (refereegranskat)abstract
    • <b><i>Objectives:</i></b> Loss of bone mass may affect the progression of atherosclerosis. We investigated the relationship between low bone mineral density (BMD) and subclinical atherosclerosis in rural China. <b><i>Methods:</i></b> In total, 333 men and 421 postmenopausal women aged 55–65 years were enrolled. BMD was measured in the lumbar spine, femoral neck, and total hip using dual-energy X-ray absorptiometry. Subclinical atherosclerosis was defined as increased carotid artery intima-media thickness (CIMT ≥0.9 mm), the presence of carotid plaques, high brachial-ankle pulse wave velocity (baPWV ≥1,400 cm/s), and low ankle-brachial index (ABI ≤1). Binary logistic regression analyses were used to estimate the association between low BMD and subclinical atherosclerosis. <b><i>Results:</i></b> There was no significant difference in BMD between the normal group and the subclinical atherosclerosis group. After full adjustment for the relevant covariates, a boundary significant association was found between low BMD in the femoral neck and baPWV in postmenopausal women (odds ratio = 1.77, <i>p =</i> 0.049). After full adjustment, neither BMD nor low BMD were significantly associated with subclinical atherosclerosis in men or postmenopausal women. <b><i>Conclusions:</i></b> Low BMD is not associated with subclinical atherosclerosis in Chinese individuals aged 55–65 years resident in rural China.
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  • Chen, XD, et al. (författare)
  • Non-invasive early detection of cancer four years before conventional diagnosis using a blood test
  • 2020
  • Ingår i: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 11:1, s. 3475-
  • Tidskriftsartikel (refereegranskat)abstract
    • Early detection has the potential to reduce cancer mortality, but an effective screening test must demonstrate asymptomatic cancer detection years before conventional diagnosis in a longitudinal study. In the Taizhou Longitudinal Study (TZL), 123,115 healthy subjects provided plasma samples for long-term storage and were then monitored for cancer occurrence. Here we report the preliminary results of PanSeer, a noninvasive blood test based on circulating tumor DNA methylation, on TZL plasma samples from 605 asymptomatic individuals, 191 of whom were later diagnosed with stomach, esophageal, colorectal, lung or liver cancer within four years of blood draw. We also assay plasma samples from an additional 223 cancer patients, plus 200 primary tumor and normal tissues. We show that PanSeer detects five common types of cancer in 88% (95% CI: 80–93%) of post-diagnosis patients with a specificity of 96% (95% CI: 93–98%), We also demonstrate that PanSeer detects cancer in 95% (95% CI: 89–98%) of asymptomatic individuals who were later diagnosed, though future longitudinal studies are required to confirm this result. These results demonstrate that cancer can be non-invasively detected up to four years before current standard of care.
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  • He, YQ, et al. (författare)
  • A polygenic risk score for nasopharyngeal carcinoma shows potential for risk stratification and personalized screening
  • 2022
  • Ingår i: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 13:1, s. 1966-
  • Tidskriftsartikel (refereegranskat)abstract
    • Polygenic risk scores (PRS) have the potential to identify individuals at risk of diseases, optimizing treatment, and predicting survival outcomes. Here, we construct and validate a genome-wide association study (GWAS) derived PRS for nasopharyngeal carcinoma (NPC), using a multi-center study of six populations (6 059 NPC cases and 7 582 controls), and evaluate its utility in a nested case-control study. We show that the PRS enables effective identification of NPC high-risk individuals (AUC = 0.65) and improves the risk prediction with the PRS incremental deciles in each population (Ptrend ranging from 2.79 × 10−7 to 4.79 × 10−44). By incorporating the PRS into EBV-serology-based NPC screening, the test’s positive predictive value (PPV) is increased from an average of 4.84% to 8.38% and 11.91% in the top 10% and 5% PRS, respectively. In summary, the GWAS-derived PRS, together with the EBV test, significantly improves NPC risk stratification and informs personalized screening.
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  • Hu, XJ, et al. (författare)
  • Development and External Validation of a Radiomics Model Derived from Preoperative Gadoxetic Acid-Enhanced MRI for Predicting Histopathologic Grade of Hepatocellular Carcinoma
  • 2023
  • Ingår i: Diagnostics (Basel, Switzerland). - : MDPI AG. - 2075-4418. ; 13:3
  • Tidskriftsartikel (refereegranskat)abstract
    • Histopathologic grade of hepatocellular carcinoma (HCC) is an important predictor of early recurrence and poor prognosis after curative treatments. This study aims to develop a radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting HCC histopathologic grade and to validate its predictive performance in an independent external cohort. Clinical and imaging data of 403 consecutive HCC patients were retrospectively collected from two hospitals (265 and 138, respectively). Patients were categorized into poorly differentiated HCC and non-poorly differentiated HCC groups. A total of 851 radiomics features were extracted from the segmented tumor at the hepatobiliary phase images. Three classifiers, logistic regression (LR), support vector machine, and Adaboost were adopted for modeling. The areas under the curve of the three models were 0.70, 0.67, and 0.61, respectively, in the external test cohort. Alpha-fetoprotein (AFP) was the only significant clinicopathological variable associated with HCC grading (odds ratio: 2.75). When combining AFP, the LR+AFP model showed the best performance, with an AUC of 0.71 (95%CI: 0.59–0.82) in the external test cohort. A radiomics model based on gadoxetic acid-enhanced MRI was constructed in this study to discriminate HCC with different histopathologic grades. Its good performance indicates a promise in the preoperative prediction of HCC differentiation levels.
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