FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2339626860> ?p ?o ?g. }

• W2339626860 endingPage "e3239" @default.
• W2339626860 startingPage "e3239" @default.
• W2339626860 abstract "The aim of the study was to investigate diagnosis efficacy of dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DW-MRI) in Crohn's disease (CD). To find out the correlations between functional MRI parameters including Ktrans, Kep, Ve, Vp, and apparent diffusion coefficient (ADC) with a serologic biomarker. The relationships between pharmacokinetic parameters and ADC were also studied. Thirty-two patients with CD (22 men, 10 women; mean age: 30.5 years) and 18 healthy volunteers without any inflammatory disease (10 men, 8 women; mean age, 34.11 years) were enrolled into this approved prospective study. Pearson analysis was used to evaluate the correlation between Ktrans, Kep, Ve, Vp, and C-reactive protein (CRP), ADC, and CRP respectively. The diagnostic efficacy of the functional MRI parameters in terms of sensitivity and specificity were analyzed by receiver operating characteristic (ROC) curve analyses. Optimal cut-off values of each functional MRI parameters for differentiation of inflammatory from normal bowel were determined according to the Youden criterion. Mean value of Ktrans in the CD group was significantly higher than that of normal control group. Similar results were observed for Kep and Ve. On the contrary, the ADC value was lower in the CD group than that in the control group. Ktrans and Ve were shown to be correlated with CRP (r = 0.725, P < 0.001; r = 0.533, P = 0.002), meanwhile ADC showed negative correlation with CRP (r = −0.630, P < 0.001). There were negative correlations between the pharmacokinetic parameters and ADC, such as Ktrans to ADC (r = −0.856, P < 0.001), and Ve to ADC (r = −0.451, P = 0.01). The area under the curve (AUC) was 0.994 for Ktrans (P < 0.001), 0.905 for ADC (P < 0.001), 0.806 for Ve (P < 0.001), and 0.764 for Kep (P = 0.002). The cut-off point of the Ktrans was found to be 0.931 min–1. This value provided the best trade-off between sensitivity (93.8%) and specificity (100%). The best cut-off point of ADC was 1.11 × 10–3 mm2/s. At this level, sensitivity was 100% and specificity was 68.8%. DCE-MRI and DW-MRI were helpful in the diagnosis of CD. Quantitative MRI parameters could be used to assess the severity of inflammation. The relationships between pharmacokinetic parameters (Ktrans and Ve) and ADC reflected microstructure and microcirculation of CD to some extent." @default.
• W2339626860 created "2016-06-24" @default.
• W2339626860 creator A5048279362 @default.
• W2339626860 creator A5064264675 @default.
• W2339626860 creator A5074641200 @default.
• W2339626860 creator A5076521009 @default.
• W2339626860 creator A5085993176 @default.
• W2339626860 creator A5088394087 @default.
• W2339626860 creator A5090647755 @default.
• W2339626860 date "2016-04-01" @default.
• W2339626860 modified "2023-09-30" @default.
• W2339626860 title "Can Dynamic Contrast-Enhanced MRI (DCE-MRI) and Diffusion-Weighted MRI (DW-MRI) Evaluate Inflammation Disease" @default.
• W2339626860 cites W1567084204 @default.
• W2339626860 cites W1823247470 @default.
• W2339626860 cites W1963556858 @default.
• W2339626860 cites W1963966837 @default.
• W2339626860 cites W1963985039 @default.
• W2339626860 cites W1966713611 @default.
• W2339626860 cites W1969142706 @default.
• W2339626860 cites W1973320691 @default.
• W2339626860 cites W1975068889 @default.
• W2339626860 cites W1979942124 @default.
• W2339626860 cites W1985653091 @default.
• W2339626860 cites W1992243836 @default.
• W2339626860 cites W1998678282 @default.
• W2339626860 cites W2000345009 @default.
• W2339626860 cites W2018045918 @default.
• W2339626860 cites W2020138367 @default.
• W2339626860 cites W2022365036 @default.
• W2339626860 cites W2023550986 @default.
• W2339626860 cites W2033661078 @default.
• W2339626860 cites W2067776675 @default.
• W2339626860 cites W2069485958 @default.
• W2339626860 cites W2080351244 @default.
• W2339626860 cites W2091077173 @default.
• W2339626860 cites W2093778404 @default.
• W2339626860 cites W2095361365 @default.
• W2339626860 cites W2103975715 @default.
• W2339626860 cites W2105430286 @default.
• W2339626860 cites W2109164788 @default.
• W2339626860 cites W2111328955 @default.
• W2339626860 cites W2116476707 @default.
• W2339626860 cites W2131770690 @default.
• W2339626860 cites W2134024155 @default.
• W2339626860 cites W2138500109 @default.
• W2339626860 cites W2166109474 @default.
• W2339626860 cites W2166626624 @default.
• W2339626860 cites W2319899393 @default.
• W2339626860 doi "https://doi.org/10.1097/md.0000000000003239" @default.
• W2339626860 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4998776" @default.
• W2339626860 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27057860" @default.
• W2339626860 hasPublicationYear "2016" @default.
• W2339626860 type Work @default.
• W2339626860 sameAs 2339626860 @default.
• W2339626860 citedByCount "18" @default.
• W2339626860 countsByYear W23396268602017 @default.
• W2339626860 countsByYear W23396268602018 @default.
• W2339626860 countsByYear W23396268602019 @default.
• W2339626860 countsByYear W23396268602020 @default.
• W2339626860 countsByYear W23396268602021 @default.
• W2339626860 countsByYear W23396268602022 @default.
• W2339626860 countsByYear W23396268602023 @default.
• W2339626860 crossrefType "journal-article" @default.
• W2339626860 hasAuthorship W2339626860A5048279362 @default.
• W2339626860 hasAuthorship W2339626860A5064264675 @default.
• W2339626860 hasAuthorship W2339626860A5074641200 @default.
• W2339626860 hasAuthorship W2339626860A5076521009 @default.
• W2339626860 hasAuthorship W2339626860A5085993176 @default.
• W2339626860 hasAuthorship W2339626860A5088394087 @default.
• W2339626860 hasAuthorship W2339626860A5090647755 @default.
• W2339626860 hasBestOaLocation W23396268601 @default.
• W2339626860 hasConcept C112705442 @default.
• W2339626860 hasConcept C117220453 @default.
• W2339626860 hasConcept C126322002 @default.
• W2339626860 hasConcept C126838900 @default.
• W2339626860 hasConcept C143409427 @default.
• W2339626860 hasConcept C149550507 @default.
• W2339626860 hasConcept C185592680 @default.
• W2339626860 hasConcept C2524010 @default.
• W2339626860 hasConcept C2781197716 @default.
• W2339626860 hasConcept C2989005 @default.
• W2339626860 hasConcept C2994142346 @default.
• W2339626860 hasConcept C3020225094 @default.
• W2339626860 hasConcept C33923547 @default.
• W2339626860 hasConcept C41727105 @default.
• W2339626860 hasConcept C43346845 @default.
• W2339626860 hasConcept C55493867 @default.
• W2339626860 hasConcept C58471807 @default.
• W2339626860 hasConcept C70816921 @default.
• W2339626860 hasConcept C71924100 @default.
• W2339626860 hasConcept C76318530 @default.
• W2339626860 hasConcept C90924648 @default.
• W2339626860 hasConceptScore W2339626860C112705442 @default.
• W2339626860 hasConceptScore W2339626860C117220453 @default.
• W2339626860 hasConceptScore W2339626860C126322002 @default.
• W2339626860 hasConceptScore W2339626860C126838900 @default.
• W2339626860 hasConceptScore W2339626860C143409427 @default.
• W2339626860 hasConceptScore W2339626860C149550507 @default.

• next