FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380742020> ?p ?o ?g. }

• W4380742020 abstract "To evaluate amide proton transfer weighted (APTw) signal differences between multiple sclerosis (MS) lesions and contralateral normal-appearing white matter (cNAWM). Cellular changes during the demyelination process were also assessed by comparing APTw signal intensity in T1weighted isointense (ISO) and hypointense (black hole -BH) MS lesions in relation to cNAWM. Twenty-four people with relapsing-remitting MS (pw-RRMS) on stable therapy were recruited. MRI/APTw acquisitions were undertaken on a 3 T MRI scanner. The pre and post-processing, analysis, co-registration with structural MRI maps, and identification of regions of interest (ROIs) were all performed with Olea Sphere 3.0 software. Generalized linear model (GLM) univariate ANOVA was undertaken to test the hypotheses that differences in mean APTw were entered as dependent variables. ROIs were entered as random effect variables, which allowed all data to be included. Regions (lesions and cNAWM) and/or structure (ISO and BH) were the main factor variables. The models also included age, sex, disease duration, EDSS, and ROI volumes as covariates. Receiver operating characteristic (ROC) curve analyses were performed to evaluate the diagnostic performance of these comparisons. A total of 502 MS lesions manually identified on T2-FLAIR from twenty-four pw-RRMS were subcategorized as 359 ISO and 143 BH with reference to the T1-MPRAGE cerebral cortex signal. Also, 490 ROIs of cNAWM were manually delineated to match the MS lesion positions. A two-tailed t-test showed that mean APTw values were higher in females than in males (t = 3.52, p < 0.001). Additionally, the mean APTw values of MS lesions were higher than those of cNAWM after accounting for covariates (mean lesion = 0.44, mean cNAWM = 0.13, F = 44.12, p < 0.001).The mean APTw values of ISO lesions were higher than those of cNAWM after accounting for covariates (mean ISO lesions = 0.42, mean cNAWM = 0.21, F = 12.12, p < 0.001). The mean APTw values of BH were also higher than those of cNAWM (mean BH lesions = 0.47, mean cNAWM = 0.033, F = 40.3, p < 0.001). The effect size (i.e., difference between lesion and cNAWM) for BH was found to be higher than for ISO (14 vs. 2). Diagnostic performance showed that APT was able to discriminate between all lesions and cNAWM with an accuracy of >75% (AUC = 0.79, SE = 0.014). Discrimination between ISO lesions and cNAWM was accomplished with an accuracy of >69% (AUC = 0.74, SE = 0.018), while discrimination between BH lesions and cNAWM was achieved at an accuracy of >80% (AUC = 0.87, SE = 0.021). Our results highlight the potential of APTw imaging for use as a non-invasive technique that is able to provide essential molecular information to clinicians and researchers so that the stages of inflammation and degeneration in MS lesions can be better characterized." @default.
• W4380742020 created "2023-06-16" @default.
• W4380742020 creator A5014375641 @default.
• W4380742020 creator A5017852596 @default.
• W4380742020 creator A5019284468 @default.
• W4380742020 creator A5026964632 @default.
• W4380742020 creator A5033530865 @default.
• W4380742020 creator A5036224966 @default.
• W4380742020 creator A5042117311 @default.
• W4380742020 creator A5068646710 @default.
• W4380742020 creator A5075032683 @default.
• W4380742020 date "2023-06-01" @default.
• W4380742020 modified "2023-09-27" @default.
• W4380742020 title "CEST 2022 - Differences in APT-weighted signal in T1 weighted isointense lesions, black holes and normal-appearing white matter in people with relapsing-remitting multiple sclerosis" @default.
• W4380742020 cites W1778954217 @default.
• W4380742020 cites W1934231655 @default.
• W4380742020 cites W1947637899 @default.
• W4380742020 cites W1992219232 @default.
• W4380742020 cites W2009412483 @default.
• W4380742020 cites W2011106869 @default.
• W4380742020 cites W2037151367 @default.
• W4380742020 cites W2044439746 @default.
• W4380742020 cites W2046748764 @default.
• W4380742020 cites W2074131247 @default.
• W4380742020 cites W2087422472 @default.
• W4380742020 cites W2090719688 @default.
• W4380742020 cites W2093864226 @default.
• W4380742020 cites W2113012066 @default.
• W4380742020 cites W2122303264 @default.
• W4380742020 cites W2124652922 @default.
• W4380742020 cites W2133287637 @default.
• W4380742020 cites W2169459006 @default.
• W4380742020 cites W2194780065 @default.
• W4380742020 cites W2253210936 @default.
• W4380742020 cites W2363367799 @default.
• W4380742020 cites W2404056086 @default.
• W4380742020 cites W2426030842 @default.
• W4380742020 cites W2542350582 @default.
• W4380742020 cites W2562977489 @default.
• W4380742020 cites W2611885390 @default.
• W4380742020 cites W2744553073 @default.
• W4380742020 cites W2744561951 @default.
• W4380742020 cites W2803318098 @default.
• W4380742020 cites W2890913412 @default.
• W4380742020 cites W2898553481 @default.
• W4380742020 cites W2900485171 @default.
• W4380742020 cites W2913528204 @default.
• W4380742020 cites W2926018884 @default.
• W4380742020 cites W2945152182 @default.
• W4380742020 cites W2963834324 @default.
• W4380742020 cites W2963838046 @default.
• W4380742020 cites W2981589863 @default.
• W4380742020 cites W2990500086 @default.
• W4380742020 cites W3006512435 @default.
• W4380742020 cites W3010158397 @default.
• W4380742020 cites W3084018220 @default.
• W4380742020 cites W3090120661 @default.
• W4380742020 cites W3135641902 @default.
• W4380742020 cites W3175348303 @default.
• W4380742020 cites W3203690876 @default.
• W4380742020 cites W3209489061 @default.
• W4380742020 cites W4224231482 @default.
• W4380742020 doi "https://doi.org/10.1016/j.mri.2023.06.002" @default.
• W4380742020 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37321380" @default.
• W4380742020 hasPublicationYear "2023" @default.
• W4380742020 type Work @default.
• W4380742020 citedByCount "0" @default.
• W4380742020 crossrefType "journal-article" @default.
• W4380742020 hasAuthorship W4380742020A5014375641 @default.
• W4380742020 hasAuthorship W4380742020A5017852596 @default.
• W4380742020 hasAuthorship W4380742020A5019284468 @default.
• W4380742020 hasAuthorship W4380742020A5026964632 @default.
• W4380742020 hasAuthorship W4380742020A5033530865 @default.
• W4380742020 hasAuthorship W4380742020A5036224966 @default.
• W4380742020 hasAuthorship W4380742020A5042117311 @default.
• W4380742020 hasAuthorship W4380742020A5068646710 @default.
• W4380742020 hasAuthorship W4380742020A5075032683 @default.
• W4380742020 hasConcept C101070640 @default.
• W4380742020 hasConcept C118552586 @default.
• W4380742020 hasConcept C126322002 @default.
• W4380742020 hasConcept C126838900 @default.
• W4380742020 hasConcept C143409427 @default.
• W4380742020 hasConcept C2780640218 @default.
• W4380742020 hasConcept C2781192897 @default.
• W4380742020 hasConcept C2989005 @default.
• W4380742020 hasConcept C54170458 @default.
• W4380742020 hasConcept C58471807 @default.
• W4380742020 hasConcept C71924100 @default.
• W4380742020 hasConceptScore W4380742020C101070640 @default.
• W4380742020 hasConceptScore W4380742020C118552586 @default.
• W4380742020 hasConceptScore W4380742020C126322002 @default.
• W4380742020 hasConceptScore W4380742020C126838900 @default.
• W4380742020 hasConceptScore W4380742020C143409427 @default.
• W4380742020 hasConceptScore W4380742020C2780640218 @default.
• W4380742020 hasConceptScore W4380742020C2781192897 @default.
• W4380742020 hasConceptScore W4380742020C2989005 @default.
• W4380742020 hasConceptScore W4380742020C54170458 @default.
• W4380742020 hasConceptScore W4380742020C58471807 @default.
• W4380742020 hasConceptScore W4380742020C71924100 @default.
• W4380742020 hasLocation W43807420201 @default.

• next