Morphometric sum optical density as a surrogate marker for ploidy status in prostate cancer: an analysis in 180 biopsies using logistic regression and binary recursive partitioning

Abstract

We sought to identify morphometric descriptors predictive of nondiploidy in prostatic adenocarcinoma on prostate needle biopsies using logistic regression (LR) and binary recursive partitioning (BRP) and compare the equivalence of both methods. A total of 180 prostate needle biopsies diagnosed as prostatic adenocarcinoma were selected. Deoxyribonucleic acid ploidy and morphometry were performed separately on Feulgen-stained sections from these biopsies using the CAS-200 system and Nuclear Morphometry Suite, respectively. Seven morphometric predictors were tested as predictor variables, including nuclear area, circularity, elongation, sum optical density (OD), configuration run length, coefficient of variation (CV), and angularity. Logistic regression (LR) identified a two-parameter model including sum OD and circularity that had a 93.9% overall correct prediction rate (area under curve=0.950; 95% CI: 0.913, 0.987). A reduced model including only sum OD was equally good without any significant loss of predictive accuracy (93.3% correct overall classification rate). BRP also selected sum OD as the most predictive parameter; a sum OD cut-off of 7.73 in this model identified 93.3% of the nondiploid cases correctly. Morphometric OD can be used as a surrogate marker of nondiploidy. LR and BRP models are both equivalent in identifying and correctly classifying nondiploid cases of prostate cancer using sum OD as the predictor variable.

Dietary Genistein Inhibits Metastasis of Human Prostate Cancer in Mice

“…In vivo analysis of nuclear morphology was performed as described, with modifications, on formalin-fixed paraffin-embedded primary tumor and metastatic lymph node tissue (34). Briefly, the nuclei of 7-Am tissue sections were stained with Feulgen using an established protocol (35) and then scanned on an ACIS II Quantitative Image Analysis Workstation (Clarient, Inc.) using the Tissue Ploidy software protocol.…”

High incidence of aneuploidy in low grade urothelial carcinomas

“…Further details on calibration and histogram generation have been described by our group earlier. 3 The mean age of the patients in the low-grade group (70.5) was not significantly different from mean age in the HG group (71.35, Student's t-test P = 0.78). In the LG group, 9/19 (47.36%) cases were aneuploid , and 42 of 55 (76.36%) cases were aneuploid in the HG group.…”

“…A total of 80–120 nuclei were analyzed per case giving data from approximately 7000 nuclei across the 75 cases. Further details on calibration and histogram generation have been described by our group earlier 3 …”

Identification of patients with low‐risk for aneuploidy: Comparative discriminatory models using linear and machine‐learning classifiers in prostate cancer

“…Areas on the Feulgen-stained sections that contained pathological lesions, as defined by adjacent H&E stained slides, were marked for DNA content analysis. Details on calibration and cell classification for ploidy using the CAS-200 system have been described in detail in a previous study performed by our group [24].…”