| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8317893 | Clinical Biochemistry | 2012 | 5 Pages |
Abstract
⺠We were able to grade papillary bladder cancer tumors in an automated and objective way. ⺠We classified the former G2 tumor grade into the LG or HG group (WHO classification from 2004) based on a SVM algorithm. ⺠We reached high sensitivity and specificity in reclassification of G2 tumors. ⺠MALDI imaging offers great potential in clinical practice to ascertain pathological diagnosis/grading.
Keywords
TLCMatrix assisted laser desorption/ionization time of flightTURTCCIMSROIMALDI imagingHigh gradeGradingLow gradeTransurethral resectionWorld Health OrganizationBladder cancerClassificationimaging mass spectrometryconfidence intervalSVMSupport vector machineMALDI TOFregion of interestTumor markerProteomicsTransitional cell carcinomathin layer chromatographyWHO
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Authors
Rena F. Oezdemir, Nadine T. Gaisa, Katharina Lindemann-Docter, Sonja Gostek, Ralf Weiskirchen, Maike Ahrens, Kristina Schwamborn, Christian Stephan, David Pfister, Axel Heidenreich, Ruth Knuechel, Corinna Henkel,