Ability to predict biochemical progression using Gleason score and a computer-generated quantitative nuclear grade derived from cancer cell nuclei
RW Veltri, MC Miller, AW Partin, DS Coffey, JI Epstein - Urology, 1996 - Elsevier
OBJECTIVES: To determine the ability to predict prostate cancer progression using shape,
size, and chromatin texture nuclear grading features preselected by logistic regression
analyses based on expert-selected prostate cancer cell nuclei captured using a computer-
assisted image analysis system. METHODS: One hundred fifteen patients with clinically
localized prostate cancer were identified at the Johns Hopkins medical institutions. The
mean follow-up period was 10.4±1.7 years in 70 patients without disease progression …
size, and chromatin texture nuclear grading features preselected by logistic regression
analyses based on expert-selected prostate cancer cell nuclei captured using a computer-
assisted image analysis system. METHODS: One hundred fifteen patients with clinically
localized prostate cancer were identified at the Johns Hopkins medical institutions. The
mean follow-up period was 10.4±1.7 years in 70 patients without disease progression …