Gleason grading of prostate cancer: a pragmatic approach
نویسندگان
چکیده
منابع مشابه
Automated Prostate Cancer Diagnosis and Gleason Grading of Tissue Microarrays
We present the results on the development of an automated system for prostate cancer diagnosis and Gleason grading. Images of representative areas of the original Hematoxylin-and-Eosin (H&E)-stained tissue retrieved from each patient, either from a tissue microarray (TMA) core or whole section, were captured and analyzed. The image sets consisted of 367 and 268 color images for the diagnosis an...
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OBJECTIVE The aims of this study were to evaluate the reproducibility of the Gleason grading system and to compare its interobserver variability with the novel Gleason grade grouping proposal using a large sample volume. MATERIALS AND METHODS In total, 407 pathology slides of prostate needle biopsies from 34 consecutive patients with prostate cancer were re-evaluated. The International Societ...
متن کاملProstate Cancer Grading: A Decade After the 2005 Modified Gleason Grading System.
Since 1966, when Donald Gleason, MD, first proposed grading prostate cancer based on its histologic architecture, there have been numerous changes in clinical and pathologic practices relating to prostate cancer. Patterns 1 and 2, comprising more than 30% of cases in the original publications by Gleason, are no longer reported on biopsy and are rarely diagnosed on radical prostatectomy. Many of...
متن کاملProstate Cancer Grading: A Decade After the 2005 Modified Gleason Grading System. - PubMed - NCBI
Abstract Since 1966, when Donald Gleason, MD, first proposed grading prostate cancer based on its histologic architecture, there have been numerous changes in clinical and pathologic practices relating to prostate cancer. Patterns 1 and 2, comprising more than 30% of cases in the original publications by Gleason, are no longer reported on biopsy and are rarely diagnosed on radical prostatectomy...
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ژورنال
عنوان ژورنال: Diagnostic Histopathology
سال: 2019
ISSN: 1756-2317
DOI: 10.1016/j.mpdhp.2019.07.001