AIMS: It is the aim of these studies to derive a numerically defined progression index for prostatic intraepithelial neoplasia (PIN) lesions. METHODS: Histometric and karyometric features were automatically extracted from images of histopathologic sections by a machine vision system. RESULTS: Both histometric and karyometric measures lend themselves to the defining of a progression index. Karyometric features were found to be more sensitive. They allow the detection of very early change. CONCLUSIONS: It is possible to measure progression of PIN lesions with precision. The methodology would lend itself for measurement of regression due to chemopreventive intervention.
AIMS: It is the aim of these studies to derive a numerically defined progression index for prostatic intraepithelial neoplasia (PIN) lesions. METHODS: Histometric and karyometric features were automatically extracted from images of histopathologic sections by a machine vision system. RESULTS: Both histometric and karyometric measures lend themselves to the defining of a progression index. Karyometric features were found to be more sensitive. They allow the detection of very early change. CONCLUSIONS: It is possible to measure progression of PIN lesions with precision. The methodology would lend itself for measurement of regression due to chemopreventive intervention.
Authors: Gustavo C Rodriguez; James Kauderer; Jessica Hunn; Larry G Thaete; William G Watkin; Samantha Russell; Michael Yozwiak; Jack Basil; Jean Hurteau; Shashikant Lele; Susan C Modesitt; Oliver Zivanovic; Hao Helen Zhang; Peter H Bartels; David S Alberts Journal: Cancer Prev Res (Phila) Date: 2019-04-23
Authors: Uma R Chandran; Rajiv Dhir; Changqing Ma; George Michalopoulos; Michael Becich; John Gilbertson Journal: BMC Cancer Date: 2005-05-13 Impact factor: 4.430