SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "id:"swepub:oai:lup.lub.lu.se:ddb5237f-b93f-41c8-8bce-61a81d5f5461" "

Sökning: id:"swepub:oai:lup.lub.lu.se:ddb5237f-b93f-41c8-8bce-61a81d5f5461"

  • Resultat 1-1 av 1
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  • Johansson, Lena, et al. (författare)
  • Computer-aided diagnosis system outperforms scoring analysis in myocardial perfusion imaging
  • 2014
  • Ingår i: Journal of Nuclear Cardiology. - : Springer Science and Business Media LLC. - 1532-6551 .- 1071-3581. ; 21:3, s. 416-423
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of this myocardial perfusion imaging (MPI) study was to compare the diagnostic performance of two computer-aided diagnosis (CAD) systems, EXINI Heart(TM) (EXINI), and PERFEXTM (PERFEX) Emory Cardiac Toolbox (ECT), and the summed stress score (SSS) values from both software packages. We studied 1,052 consecutive patients who underwent 2-day stress/rest Tc-99m-sestamibi MPI studies. The reference standard classifications for the MPI studies were obtained from three experienced physicians who separately classified all cases regarding the presence or absence of ischemia and/or infarction. Automatic processing was carried out using EXINI and PERFEX to obtain CAD results and SSS values based on the 17-segment model. The three experts' classifications showed ischemia in 257 patients and abnormal studies, i.e., either ischemia or infarction or both, in 318 patients. Accuracy was significantly higher in EXINI than in PERFEX, regarding both the detection of ischemia (87.4 vs 77.6%; P < 0.0001) and the detection of abnormal studies (91.6 vs 67.9%; P < 0.0001). EXINI's CAD system showed a higher specificity than its SSS values (86.8 vs 73.6%; P < 0.0001) at the same level of sensitivity. EXINI demonstrated greater diagnostic accuracy for detection of ischemia and abnormal studies than did PERFEX. EXINI CAD also outperformed its SSS analysis.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-1 av 1
Typ av publikation
tidskriftsartikel (1)
Typ av innehåll
refereegranskat (1)
Författare/redaktör
Trägårdh, Elin (1)
Edenbrandt, Lars (1)
Svensson, Sven-Eric (1)
Lomsky, Milan (1)
Johansson, Lena (1)
Nakajima, Kenichi (1)
Lärosäte
Lunds universitet (1)
Språk
Engelska (1)
Forskningsämne (UKÄ/SCB)
Medicin och hälsovetenskap (1)
År

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy