Matches in SemOpenAlex for { <https://semopenalex.org/work/W2588595924> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2588595924 endingPage "611.e8" @default.
- W2588595924 startingPage "611.e1" @default.
- W2588595924 abstract "•64-slice multidetector CT has a high sensitivity and specificity for the detection of ACL tears. •The secondary signs of ACL tears on MRI can also be used for evaluation of the ACL with MDCT. •MDCT has a low sensitivity for PCL and meniscal injuries. Aim To evaluate the accuracy of non-arthrographic 64-section multidetector computed tomography (CT) in the assessment of cruciate ligament tears. A secondary goal was to determine its accuracy in the diagnosis of additional soft-tissue injuries around the knee. Materials and methods Forty consecutive outpatients underwent same-day magnetic resonance imaging (MRI) and 64-slice multidetector CT (MDCT) of the knee in this prospective study. MDCT images were independently evaluated for integrity of the anterior (ACL) and posterior cruciate ligaments (PCL), medial and lateral menisci, and medial and lateral collateral ligaments. Recognised secondary signs of ACL tears were also documented. MRI images were subsequently assessed by two radiologists and a consensus reached. Results The sensitivity of MDCT for ACL tears was 87.5–100%, with a specificity of 100%. The presence of one or more secondary signs of ACL tears on MDCT had a sensitivity of 50–87.5% with a specificity of 100%. The sensitivity of MDCT for PCL tears was 0–25% with a specificity of 100%. The sensitivity for meniscal tears was 9.1–23.1% with a specificity of 96.3–100%. Conclusion 64-section MDCT has very high sensitivity and specificity for ACL tears and, as on MRI, secondary signs, such as buckling of the PCL, are also useful in their diagnosis. MDCT has a low sensitivity for other soft-tissue injuries at the knee; however, its high specificity indicates that apparent PCL, meniscal, and collateral ligament tears can reliably be treated as true-positive findings. To evaluate the accuracy of non-arthrographic 64-section multidetector computed tomography (CT) in the assessment of cruciate ligament tears. A secondary goal was to determine its accuracy in the diagnosis of additional soft-tissue injuries around the knee. Forty consecutive outpatients underwent same-day magnetic resonance imaging (MRI) and 64-slice multidetector CT (MDCT) of the knee in this prospective study. MDCT images were independently evaluated for integrity of the anterior (ACL) and posterior cruciate ligaments (PCL), medial and lateral menisci, and medial and lateral collateral ligaments. Recognised secondary signs of ACL tears were also documented. MRI images were subsequently assessed by two radiologists and a consensus reached. The sensitivity of MDCT for ACL tears was 87.5–100%, with a specificity of 100%. The presence of one or more secondary signs of ACL tears on MDCT had a sensitivity of 50–87.5% with a specificity of 100%. The sensitivity of MDCT for PCL tears was 0–25% with a specificity of 100%. The sensitivity for meniscal tears was 9.1–23.1% with a specificity of 96.3–100%. 64-section MDCT has very high sensitivity and specificity for ACL tears and, as on MRI, secondary signs, such as buckling of the PCL, are also useful in their diagnosis. MDCT has a low sensitivity for other soft-tissue injuries at the knee; however, its high specificity indicates that apparent PCL, meniscal, and collateral ligament tears can reliably be treated as true-positive findings." @default.
- W2588595924 created "2017-02-24" @default.
- W2588595924 creator A5022658432 @default.
- W2588595924 creator A5036340958 @default.
- W2588595924 creator A5054346769 @default.
- W2588595924 creator A5063389432 @default.
- W2588595924 creator A5068910549 @default.
- W2588595924 creator A5072230240 @default.
- W2588595924 date "2017-07-01" @default.
- W2588595924 modified "2023-10-17" @default.
- W2588595924 title "Accuracy of 64-section MDCT in the diagnosis of cruciate ligament tears" @default.
- W2588595924 cites W1967063357 @default.
- W2588595924 cites W1983863630 @default.
- W2588595924 cites W1984946751 @default.
- W2588595924 cites W1988217421 @default.
- W2588595924 cites W1990930675 @default.
- W2588595924 cites W2026916351 @default.
- W2588595924 cites W2046767308 @default.
- W2588595924 cites W2055179384 @default.
- W2588595924 cites W2062865416 @default.
- W2588595924 cites W2074447904 @default.
- W2588595924 cites W2103998078 @default.
- W2588595924 cites W2143383329 @default.
- W2588595924 cites W2172019377 @default.
- W2588595924 cites W900585596 @default.
- W2588595924 doi "https://doi.org/10.1016/j.crad.2017.01.006" @default.
- W2588595924 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28214478" @default.
- W2588595924 hasPublicationYear "2017" @default.
- W2588595924 type Work @default.
- W2588595924 sameAs 2588595924 @default.
- W2588595924 citedByCount "5" @default.
- W2588595924 countsByYear W25885959242019 @default.
- W2588595924 countsByYear W25885959242020 @default.
- W2588595924 countsByYear W25885959242022 @default.
- W2588595924 countsByYear W25885959242023 @default.
- W2588595924 crossrefType "journal-article" @default.
- W2588595924 hasAuthorship W2588595924A5022658432 @default.
- W2588595924 hasAuthorship W2588595924A5036340958 @default.
- W2588595924 hasAuthorship W2588595924A5054346769 @default.
- W2588595924 hasAuthorship W2588595924A5063389432 @default.
- W2588595924 hasAuthorship W2588595924A5068910549 @default.
- W2588595924 hasAuthorship W2588595924A5072230240 @default.
- W2588595924 hasConcept C126838900 @default.
- W2588595924 hasConcept C136948725 @default.
- W2588595924 hasConcept C141071460 @default.
- W2588595924 hasConcept C143409427 @default.
- W2588595924 hasConcept C2778096516 @default.
- W2588595924 hasConcept C2778275304 @default.
- W2588595924 hasConcept C2778434673 @default.
- W2588595924 hasConcept C2779753412 @default.
- W2588595924 hasConcept C2780345532 @default.
- W2588595924 hasConcept C2989005 @default.
- W2588595924 hasConcept C71924100 @default.
- W2588595924 hasConceptScore W2588595924C126838900 @default.
- W2588595924 hasConceptScore W2588595924C136948725 @default.
- W2588595924 hasConceptScore W2588595924C141071460 @default.
- W2588595924 hasConceptScore W2588595924C143409427 @default.
- W2588595924 hasConceptScore W2588595924C2778096516 @default.
- W2588595924 hasConceptScore W2588595924C2778275304 @default.
- W2588595924 hasConceptScore W2588595924C2778434673 @default.
- W2588595924 hasConceptScore W2588595924C2779753412 @default.
- W2588595924 hasConceptScore W2588595924C2780345532 @default.
- W2588595924 hasConceptScore W2588595924C2989005 @default.
- W2588595924 hasConceptScore W2588595924C71924100 @default.
- W2588595924 hasIssue "7" @default.
- W2588595924 hasLocation W25885959241 @default.
- W2588595924 hasLocation W25885959242 @default.
- W2588595924 hasOpenAccess W2588595924 @default.
- W2588595924 hasPrimaryLocation W25885959241 @default.
- W2588595924 hasRelatedWork W124307005 @default.
- W2588595924 hasRelatedWork W1973282385 @default.
- W2588595924 hasRelatedWork W2055049528 @default.
- W2588595924 hasRelatedWork W2319292405 @default.
- W2588595924 hasRelatedWork W2368599086 @default.
- W2588595924 hasRelatedWork W2382870869 @default.
- W2588595924 hasRelatedWork W2396246776 @default.
- W2588595924 hasRelatedWork W2588595924 @default.
- W2588595924 hasRelatedWork W3011252669 @default.
- W2588595924 hasRelatedWork W192787689 @default.
- W2588595924 hasVolume "72" @default.
- W2588595924 isParatext "false" @default.
- W2588595924 isRetracted "false" @default.
- W2588595924 magId "2588595924" @default.
- W2588595924 workType "article" @default.