Literature DB >> 31729886

False-Negative Histopathologic Diagnosis of Prostatic Adenocarcinoma.

Chen Yang1, Peter A Humphrey1.   

Abstract

CONTEXT.—: Histopathologic diagnosis of adenocarcinoma of the prostate is based on light-microscopic examination of hematoxylin-eosin-stained tissue sections. Multiple factors, including preanalytic and analytic elements, affect the ability of the pathologist to accurately diagnose prostatic adenocarcinoma. False-negative diagnosis, that is, failure to diagnose prostatic adenocarcinoma, may have serious clinical consequences. It is important to delineate and understand those factors that may affect and cause histopathologic false-negative diagnoses of prostatic adenocarcinoma. OBJECTIVES.—: To review common factors involved in histopathologic underdiagnosis of prostatic adenocarcinoma, including the following: (1) tissue processing and sectioning artifacts, (2) minimal adenocarcinoma, (3) deceptively benign appearing variants of acinar adenocarcinoma, (4) single cell adenocarcinoma, and (5) treatment effects. DATA SOURCES.—: Data sources included published, peer-reviewed literature and personal experiences of the senior author. CONCLUSIONS.—: Knowledge of the reasons for histopathologic false-negative diagnosis of adenocarcinoma of the prostate is an important component in the diagnostic assessment of prostate tissue sections. Diagnostic awareness of the histomorphologic presentations of small (minimal) adenocarcinoma; deceptively benign appearing variants including atrophic, foamy gland, microcystic, and pseudohyperplastic variants; single cell carcinoma; and treatment effects is critical for establishment of a definitive diagnosis of adenocarcinoma and the prevention of false-negative diagnoses of prostate cancer.

Entities:  

Year:  2019        PMID: 31729886     DOI: 10.5858/arpa.2019-0456-RA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  7 in total

1.  A method for utilizing automated machine learning for histopathological classification of testis based on Johnsen scores.

Authors:  Yurika Ito; Mami Unagami; Fumito Yamabe; Yozo Mitsui; Koichi Nakajima; Koichi Nagao; Hideyuki Kobayashi
Journal:  Sci Rep       Date:  2021-05-10       Impact factor: 4.379

Review 2.  Atypical small acinar proliferation and its significance in pathological reports in modern urological times.

Authors:  Georgios Tsampoukas; Victor Manolas; Dominic Brown; Athanasios Dellis; Konstantinos Deliveliotis; Mohamad Moussa; Athanasios Papatsoris
Journal:  Asian J Urol       Date:  2021-04-30

Review 3.  Cultivating Clinical Clarity through Computer Vision: A Current Perspective on Whole Slide Imaging and Artificial Intelligence.

Authors:  Ankush U Patel; Nada Shaker; Sambit Mohanty; Shivani Sharma; Shivam Gangal; Catarina Eloy; Anil V Parwani
Journal:  Diagnostics (Basel)       Date:  2022-07-22

4.  Use of Prospective Multiplex Immunohistochemistry to Redefine Tissue Pathways of Diagnostic Core Biopsy of Prostate.

Authors:  Teresa Thomas; Sarah Wedden; Naveed Afzal; John Mikel; Corrado D'Arrigo
Journal:  Appl Immunohistochem Mol Morphol       Date:  2022-09-06

5.  Independent real-world application of a clinical-grade automated prostate cancer detection system.

Authors:  Leonard M da Silva; Emilio M Pereira; Paulo Go Salles; Ran Godrich; Rodrigo Ceballos; Jeremy D Kunz; Adam Casson; Julian Viret; Sarat Chandarlapaty; Carlos Gil Ferreira; Bruno Ferrari; Brandon Rothrock; Patricia Raciti; Victor Reuter; Belma Dogdas; George DeMuth; Jillian Sue; Christopher Kanan; Leo Grady; Thomas J Fuchs; Jorge S Reis-Filho
Journal:  J Pathol       Date:  2021-04-27       Impact factor: 7.996

6.  Novel artificial intelligence system increases the detection of prostate cancer in whole slide images of core needle biopsies.

Authors:  Patricia Raciti; Jillian Sue; Rodrigo Ceballos; Ran Godrich; Jeremy D Kunz; Supriya Kapur; Victor Reuter; Leo Grady; Christopher Kanan; David S Klimstra; Thomas J Fuchs
Journal:  Mod Pathol       Date:  2020-05-11       Impact factor: 8.209

7.  Real-time diagnosis and Gleason grading of prostate core needle biopsies using nonlinear microscopy.

Authors:  James G Fujimoto; Yue Sun; Lucas C Cahill; Seymour Rosen; Tadayuki Yoshitake; Yubo Wu; Linda York; Leo L Tsai; Boris Gershman
Journal:  Mod Pathol       Date:  2021-11-02       Impact factor: 8.209

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.