Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image Cytometry

Objective: To analyse how DNA ploidy and S-phase fraction (SPF) by flow cytometry (FCM) and an optimised fully automatic DNA image cytometer (ICM) correlate with grade in TaT1 urothelial cell carcinomas (UC) of the urinary bladder. Materials and methods: Two-hundred-and twenty-eight consensus cases...

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Main Authors: Marco G. W. Bol, Jan P. A. Baak, Bianca v. Diermen, E. A. M. Janssen, Susanne B. K. Buhr-Wildhagen, Kjell-Henning Kjellevold
Format: Article
Language:English
Published: Wiley 2003-01-01
Series:Analytical Cellular Pathology
Online Access:http://dx.doi.org/10.1155/2003/410239
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author Marco G. W. Bol
Jan P. A. Baak
Bianca v. Diermen
E. A. M. Janssen
Susanne B. K. Buhr-Wildhagen
Kjell-Henning Kjellevold
author_facet Marco G. W. Bol
Jan P. A. Baak
Bianca v. Diermen
E. A. M. Janssen
Susanne B. K. Buhr-Wildhagen
Kjell-Henning Kjellevold
author_sort Marco G. W. Bol
collection DOAJ
description Objective: To analyse how DNA ploidy and S-phase fraction (SPF) by flow cytometry (FCM) and an optimised fully automatic DNA image cytometer (ICM) correlate with grade in TaT1 urothelial cell carcinomas (UC) of the urinary bladder. Materials and methods: Two-hundred-and twenty-eight consensus cases were analysed. Single cell suspensions were stained (DAPI for FCM, Feulgen for ICM). There was enough material for both FCMand ICMin 202 of these cases. FCMand optimised ICM measurements were performed on the 202 UCs. To discriminate between different grades, single- and multivariate analyses was performed on DNA histogram features obtained with the MultiCycle program (using DNA index (DI) and SPF). Results: Overall measurement time of the adapted ICM method was 10.7 minutes per case (range 5.9–29.8 min.) and required little additional interactive object rejection (average 152 objects (84–298) on 3000 objects per case measured, which took 9.9 minutes on average, range 8.3–15.5 minutes). The ICM histograms looked much “cleaner” with less noise than the FCM graphs. The coefficient of variation (CV) of the diploid peak for ICM(5.4%) was significantly lower than for FCM(5.9%) (p < 0.0001). ICM features were more strongly correlated to grade than FCMfeatures. In multivariate analysis, the best discriminating set of features was DNA ploidy and SPF (both by ICM). Conclusions: The adapted fully automated DNA ICM works very well for UCs. Low CV DNA ICM histograms are obtained in a time comparable to FCM. The DNA ICM results have stronger discriminative power than DNA FCM for grade in TaT1 UCs. Colour figures can be viewed on http://www.esacp.org/acp/2003/25-3/bol.htm.
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spelling doaj-art-535b667a6474432da2a9bcf322ea23b02025-02-03T01:26:22ZengWileyAnalytical Cellular Pathology0921-89121878-36512003-01-0125314715310.1155/2003/410239Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image CytometryMarco G. W. Bol0Jan P. A. Baak1Bianca v. Diermen2E. A. M. Janssen3Susanne B. K. Buhr-Wildhagen4Kjell-Henning Kjellevold5Department of Pathology, SIR Hospital, Stavanger, NorwayDepartment of Pathology, SIR Hospital, Stavanger, NorwayDepartment of Pathology, SIR Hospital, Stavanger, NorwayDepartment of Pathology, SIR Hospital, Stavanger, NorwayDepartment of Pathology, SIR Hospital, Stavanger, NorwayDepartment of Pathology, SIR Hospital, Stavanger, NorwayObjective: To analyse how DNA ploidy and S-phase fraction (SPF) by flow cytometry (FCM) and an optimised fully automatic DNA image cytometer (ICM) correlate with grade in TaT1 urothelial cell carcinomas (UC) of the urinary bladder. Materials and methods: Two-hundred-and twenty-eight consensus cases were analysed. Single cell suspensions were stained (DAPI for FCM, Feulgen for ICM). There was enough material for both FCMand ICMin 202 of these cases. FCMand optimised ICM measurements were performed on the 202 UCs. To discriminate between different grades, single- and multivariate analyses was performed on DNA histogram features obtained with the MultiCycle program (using DNA index (DI) and SPF). Results: Overall measurement time of the adapted ICM method was 10.7 minutes per case (range 5.9–29.8 min.) and required little additional interactive object rejection (average 152 objects (84–298) on 3000 objects per case measured, which took 9.9 minutes on average, range 8.3–15.5 minutes). The ICM histograms looked much “cleaner” with less noise than the FCM graphs. The coefficient of variation (CV) of the diploid peak for ICM(5.4%) was significantly lower than for FCM(5.9%) (p < 0.0001). ICM features were more strongly correlated to grade than FCMfeatures. In multivariate analysis, the best discriminating set of features was DNA ploidy and SPF (both by ICM). Conclusions: The adapted fully automated DNA ICM works very well for UCs. Low CV DNA ICM histograms are obtained in a time comparable to FCM. The DNA ICM results have stronger discriminative power than DNA FCM for grade in TaT1 UCs. Colour figures can be viewed on http://www.esacp.org/acp/2003/25-3/bol.htm.http://dx.doi.org/10.1155/2003/410239
spellingShingle Marco G. W. Bol
Jan P. A. Baak
Bianca v. Diermen
E. A. M. Janssen
Susanne B. K. Buhr-Wildhagen
Kjell-Henning Kjellevold
Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image Cytometry
Analytical Cellular Pathology
title Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image Cytometry
title_full Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image Cytometry
title_fullStr Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image Cytometry
title_full_unstemmed Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image Cytometry
title_short Correlation of Grade of Urothelial Cell Carcinomas and DNA Histogram Features Assessed by Flow Cytometry and Automated Image Cytometry
title_sort correlation of grade of urothelial cell carcinomas and dna histogram features assessed by flow cytometry and automated image cytometry
url http://dx.doi.org/10.1155/2003/410239
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