FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2085459712> ?p ?o ?g. }

• W2085459712 endingPage "e0124922" @default.
• W2085459712 startingPage "e0124922" @default.
• W2085459712 abstract "Background MRI plays a major role in follow-up of patients with malignant bone tumors. However, after limb salvage surgery, orthopaedic tumor endoprostheses might cause significant metal-induced susceptibility artifacts. Purposes To evaluate the benefit of view-angle tilting (VAT) and slice-encoding metal artifact correction (SEMAC) for MRI of large-sized orthopaedic tumor endoprostheses in an experimental model and to demonstrate clinical benefits for assessment of periprosthetic soft tissue abnormalities. Methods In an experimental setting, tumor endoprostheses (n=4) were scanned at 1.5T with three versions of optimized high-bandwidth turbo-spin-echo pulse sequences: (i) standard, (ii) VAT and (iii) combined VAT and SEMAC (VAT&SEMAC). Pulse sequences included coronal short-tau-inversion-recovery (STIR), coronal T1-weighted (w), transverse T1-w and T2-w TSE sequences. For clinical evaluation, VAT&SEMAC was compared to conventional metal artifact-reducing MR sequences (conventional MR) in n=25 patients with metal implants and clinical suspicion of tumor recurrence or infection. Diameters of artifacts were measured quantitatively. Qualitative parameters were assessed on a five-point scale (1=best, 5=worst): “image distortion”, “artificial signal changes at the edges” and “diagnostic confidence”. Imaging findings were correlated with pathology. T-tests and Wilcoxon-signed rank tests were used for statistical analyses. Results The true size of the prostheses was overestimated on MRI (P<0.05). A significant reduction of artifacts was achieved by VAT (P<0.001) and VAT&SEMAC (P=0.003) compared to the standard group. Quantitative scores improved in the VAT and VAT&SEMAC group (P<0.05). On clinical MR images, artifact diameters were significantly reduced in the VAT&SEMAC-group as compared with the conventional-group (P<0.001). Distortion and artificial signal changes were reduced and diagnostic confidence improved (P<0.05). In two cases, tumor-recurrence, in ten cases infection and in thirteen cases other pathologies were diagnosed. Conclusions Significant reduction of metallic artifacts was achieved by VAT and SEMAC. Clinical results suggest, that these new techniques will be beneficial for detecting periprosthetic pathologies during postoperative follow-up." @default.
• W2085459712 created "2016-06-24" @default.
• W2085459712 creator A5019347764 @default.
• W2085459712 creator A5023149101 @default.
• W2085459712 creator A5031389462 @default.
• W2085459712 creator A5041388896 @default.
• W2085459712 creator A5054784230 @default.
• W2085459712 creator A5064850439 @default.
• W2085459712 creator A5070725191 @default.
• W2085459712 creator A5075228593 @default.
• W2085459712 creator A5075827775 @default.
• W2085459712 creator A5082629648 @default.
• W2085459712 creator A5083768671 @default.
• W2085459712 creator A5083880835 @default.
• W2085459712 date "2015-04-24" @default.
• W2085459712 modified "2023-10-16" @default.
• W2085459712 title "View-Angle Tilting and Slice-Encoding Metal Artifact Correction for Artifact Reduction in MRI: Experimental Sequence Optimization for Orthopaedic Tumor Endoprostheses and Clinical Application" @default.
• W2085459712 cites W113349722 @default.
• W2085459712 cites W1964318214 @default.
• W2085459712 cites W1973148314 @default.
• W2085459712 cites W1990480159 @default.
• W2085459712 cites W1991886365 @default.
• W2085459712 cites W2018189647 @default.
• W2085459712 cites W2018441425 @default.
• W2085459712 cites W2031363667 @default.
• W2085459712 cites W2035118303 @default.
• W2085459712 cites W2040942100 @default.
• W2085459712 cites W2042438696 @default.
• W2085459712 cites W2045525695 @default.
• W2085459712 cites W2046527525 @default.
• W2085459712 cites W2062859603 @default.
• W2085459712 cites W2072274183 @default.
• W2085459712 cites W2074644522 @default.
• W2085459712 cites W2081830027 @default.
• W2085459712 cites W2082087152 @default.
• W2085459712 cites W2083991855 @default.
• W2085459712 cites W2088940505 @default.
• W2085459712 cites W2112590657 @default.
• W2085459712 cites W2136371546 @default.
• W2085459712 cites W2136789364 @default.
• W2085459712 cites W2141701272 @default.
• W2085459712 cites W2157702364 @default.
• W2085459712 cites W2164777277 @default.
• W2085459712 cites W2418244588 @default.
• W2085459712 cites W4232587665 @default.
• W2085459712 cites W93681730 @default.
• W2085459712 doi "https://doi.org/10.1371/journal.pone.0124922" @default.
• W2085459712 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4409347" @default.
• W2085459712 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25909472" @default.
• W2085459712 hasPublicationYear "2015" @default.
• W2085459712 type Work @default.
• W2085459712 sameAs 2085459712 @default.
• W2085459712 citedByCount "25" @default.
• W2085459712 countsByYear W20854597122016 @default.
• W2085459712 countsByYear W20854597122017 @default.
• W2085459712 countsByYear W20854597122018 @default.
• W2085459712 countsByYear W20854597122019 @default.
• W2085459712 countsByYear W20854597122020 @default.
• W2085459712 countsByYear W20854597122021 @default.
• W2085459712 countsByYear W20854597122022 @default.
• W2085459712 countsByYear W20854597122023 @default.
• W2085459712 crossrefType "journal-article" @default.
• W2085459712 hasAuthorship W2085459712A5019347764 @default.
• W2085459712 hasAuthorship W2085459712A5023149101 @default.
• W2085459712 hasAuthorship W2085459712A5031389462 @default.
• W2085459712 hasAuthorship W2085459712A5041388896 @default.
• W2085459712 hasAuthorship W2085459712A5054784230 @default.
• W2085459712 hasAuthorship W2085459712A5064850439 @default.
• W2085459712 hasAuthorship W2085459712A5070725191 @default.
• W2085459712 hasAuthorship W2085459712A5075228593 @default.
• W2085459712 hasAuthorship W2085459712A5075827775 @default.
• W2085459712 hasAuthorship W2085459712A5082629648 @default.
• W2085459712 hasAuthorship W2085459712A5083768671 @default.
• W2085459712 hasAuthorship W2085459712A5083880835 @default.
• W2085459712 hasBestOaLocation W20854597121 @default.
• W2085459712 hasConcept C126838900 @default.
• W2085459712 hasConcept C13483470 @default.
• W2085459712 hasConcept C136948725 @default.
• W2085459712 hasConcept C143409427 @default.
• W2085459712 hasConcept C2778120723 @default.
• W2085459712 hasConcept C2778336525 @default.
• W2085459712 hasConcept C2989005 @default.
• W2085459712 hasConcept C3020226503 @default.
• W2085459712 hasConcept C71924100 @default.
• W2085459712 hasConceptScore W2085459712C126838900 @default.
• W2085459712 hasConceptScore W2085459712C13483470 @default.
• W2085459712 hasConceptScore W2085459712C136948725 @default.
• W2085459712 hasConceptScore W2085459712C143409427 @default.
• W2085459712 hasConceptScore W2085459712C2778120723 @default.
• W2085459712 hasConceptScore W2085459712C2778336525 @default.
• W2085459712 hasConceptScore W2085459712C2989005 @default.
• W2085459712 hasConceptScore W2085459712C3020226503 @default.
• W2085459712 hasConceptScore W2085459712C71924100 @default.
• W2085459712 hasIssue "4" @default.
• W2085459712 hasLocation W20854597121 @default.
• W2085459712 hasLocation W20854597122 @default.
• W2085459712 hasLocation W20854597123 @default.
• W2085459712 hasLocation W20854597124 @default.

• next