The relationship between syntactic structure analysis features, histological grade and high-risk HPV DNA in cervical intraepithelial neoplasia.

AIM: To assess the correlation between syntactic structure analysis (SSA) features, revised dysplasia grade and the presence of high-risk human papillomavirus DNA in cervical intraepithelial neoplasia (CIN). MATERIALS AND METHODS: HPV polymerase chain reaction (PCR) was assessed in 101 consecutive biopsies and consensus in CIN grade between the experts occurred in 88 cases (CIN1=16, CIN2=27, CIN3=45). SSA was performed in the diagnostic histological section of the CIN lesions in these patients and SSA features were compared with the blind review CIN grade, and presence/absence of high-risk HPV DNA. RESULTS: One of the SSA features (points from which the surrounding surfaces has 4 edges, PECO-4) was significantly different between all three consensus CIN grades. Many more features revealed significant differences between CIN1 and CIN2 or between CIN2 and CIN3 cases. With stepwise discriminant analysis, the best multivariate combination of features to distinguish the different CIN grades were the Maximum MST Line Length (MML) and the Area Disorder. Crude overall classification of the consensus grades with these features was 69%. The MML and the Area Disorder is also the best combination to distinguish cases with and without high-risk HPV DNA (77% correct classifications). CONCLUSIONS: SSA features are correlated with both CIN grade and presence of high-risk HPV DNA, but the discrimination power is not good enough to be used as a routine method for quality control of subjective grade or as a surrogate marker for high-risk HPV DNA presence.

Reproducibility and prognostic variability of grade and lamina propria invasion in stages Ta, T1 urothelial carcinoma of the bladder.

PURPOSE: We assessed the reproducibility and prognostic variability of grade and lamina propria invasion in stages Ta, T1 urothelial carcinoma of the bladder. MATERIALS AND METHODS: A total of 130 consecutive stages Ta, T1 urothelial carcinomas routinely diagnosed by 15 pathologists (original diagnosis) were reviewed by 3 independent experienced pathologists using 1999 WHO criteria (diagnoses 1 to 3 and reviewer consensus diagnosis). Interreviewer disagreement cases were blindly reviewed again. Each remaining disagreement case was discussed in a multihead microscope session to attempt to solve remaining disagreements. In cases of continuing disagreement the majority diagnosis on stage and grade was considered the consensus diagnosis. Stage progression at followup was the dependent variable. Stage progression-free Kaplan-Meier survival curves and hazard ratios of each stage and grade diagnosis were calculated and prognostic variability was determined. RESULTS: There was complete interobserver agreement on stage and grade among reviewers in 80% and 59% of cases, while it was 87.7% and 75.4%, respectively, after the second review. More than 1 grade difference occurred in 1.5% of cases (0% after the second review). The consensus and original diagnoses agreed on stage and grade in 68.5% and 62.3% of cases, respectively. Assignment of individual cases to 1 category of the 1999 WHO classification per reviewer varied considerably. The incidence of cases classified as stage T1 grade 3 by the reviewers was between 12.3% and 18.9% (average 14.1%). Consensus diagnosis grade had the strongest prognostic value (HR 68.8, range 8.9 to 528.0). Of the 63 original diagnoses of stage T1 tumors the consensus diagnosis down staged 35 (55.6%) to Ta and up staged 8 (12.7%) to T2-3. Progression was more common in the 20 consensus diagnosis stage T1 cases (5 or 25%) than in the 55 original diagnosis stage T1 cases (11 or 20%). Original diagnosis stage T1 tumors that were down staged by the consensus diagnosis showed less progression than consensus diagnosis confirmed stage T1 tumors (17% versus 25%). The prognostically worst subgroup (T1 grade 3) also showed considerable prognostic variation among reviewers (28% to 76% at 5 years of followup), in that the consensus diagnosis again had the highest prognostic significance (HR 3.5, range 1.2 to 10.2). At the end of the study all pathologists expressed that they were regularly uncertain about stage and grade assessment in an individual case in a considerable percent of all cases. CONCLUSIONS: Observer prognostic variability in staging and grading is considerable with potentially strong implications for patients. Interobserver variation did not decrease using the new 1999 WHO grading classification.

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 were analysed. Single cell suspensions were stained (DAPI for FCM, Feulgen for ICM). There was enough material for both FCM and ICM in 202 of these cases. FCM and 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 FCM features. 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.

DNA cytometric features in biopsies of TaT1 urothelial cell cancer predict recurrence and stage progression more accurately than stage, grade, or treatment modality.

OBJECTIVES: To compare retrospectively the predictive value for recurrence and stage progression of DNA ploidy and S-phase fraction by flow cytometry and highly automated ultrafast image cytometry (ICM) in biopsies of TaT1 urothelial cell carcinomas (UCCs) of the urinary bladder with stage, grade, other pathologic features, and treatment. METHODS: Three experienced pathologists reviewed the stage and grade of 228 UCCs; 193 (85%) consensus cases were analyzed further. We had enough material for single-cell suspensions for both flow cytometry and ICM in 183 cases (94.8%). The 2001 European Society for Analytical Cellular Pathology standards for DNA ICM were followed. The predictive value of DNA features, classic prognosticators (stage, grade, carcinoma in situ, multicentricity), and treatment modality for recurrence and stage progression were analyzed with univariate (Kaplan-Meier) survival and multivariate (Cox model) regression analysis. Ta and T1 cases were analyzed separately. RESULTS: Of the 228 cases, 88 (51.5%) recurred and 13 (7.6%) progressed. On univariate analysis, most of the DNA features studied were statistically significant. Treatment modality and grade were only prognostic for progression (not for recurrence) and only in Ta cases. On multivariate analysis, DNA ICM features performed best; the strongest recurrence predictor for Ta UCC was a DNA index (DI) of 1.0 versus all others, and for T1 UCC, a DI of less than 1.3 versus 1.3 or greater. The best stage progression predictor for Ta UCCs was a DI of 1.0 plus an S-phase fraction of less than 10%, and for T1 UCCs, a DI of less than 1.3 versus 1.3 or greater. With multivariate analysis, sex, age, grade, carcinoma in situ, multicentricity, and treatment modality were excluded once the DNA ICM features were selected. CONCLUSIONS: DNA image cytometric features predict recurrence and stage progression in TaT1 UCC biopsies more accurately than classic prognostic factors, independent of treatment modality.