Literature DB >> 18999923

Automated image analysis in histopathology: a valuable tool in medical diagnostics.

Laoighse Mulrane1, Elton Rexhepaj, Steve Penney, John J Callanan, William M Gallagher.   

Abstract

Virtual pathology, the process of assessing digital images of histological slides, is gaining momentum in today's laboratory environment. Indeed, digital image acquisition systems are becoming commonplace, and associated image analysis solutions are viewed by most as the next critical step in automated histological analysis. Here, we document the advances in the technology, with reference to past and current techniques in histological assessment. In addition, the demand for these technologies is analyzed with major players profiled. As there are several image analysis software programs focusing on the quantification of immunohistochemical staining, particular attention is paid to this application in this review. Oncology has been a primary target area for these approaches, with example studies in this therapeutic area being covered here. Toxicology-based image analysis solutions are also profiled as these are steadily increasing in popularity, especially within the pharmaceutical industry. Reinforced by the phenomenal growth of the virtual pathology field, it is envisioned that the market for automated image analysis tools will greatly expand over the next 10 years.

Mesh:

Year:  2008        PMID: 18999923     DOI: 10.1586/14737159.8.6.707

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  40 in total

1.  Subacute toxicity assessment of water disinfection byproducts on zebrafish.

Authors:  Gergely Rácz; Zsolt Csenki; Róbert Kovács; Arpád Hegyi; Ferenc Baska; László Sujbert; Ivett Zsákovics; Renáta Kis; Ryan Gustafson; Béla Urbányi; Béla Szende
Journal:  Pathol Oncol Res       Date:  2011-12-11       Impact factor: 3.201

2.  Chemoradionuclide therapy with 186re-labeled liposomal doxorubicin: toxicity, dosimetry, and therapeutic response.

Authors:  Anuradha Soundararajan; Ande Bao; William T Phillips; Linda M McManus; Beth A Goins
Journal:  Cancer Biother Radiopharm       Date:  2011-08-11       Impact factor: 3.099

3.  Image analysis of immunohistochemistry is superior to visual scoring as shown for patient outcome of esophageal adenocarcinoma.

Authors:  Annette Feuchtinger; Tabitha Stiehler; Uta Jütting; Goran Marjanovic; Birgit Luber; Rupert Langer; Axel Walch
Journal:  Histochem Cell Biol       Date:  2014-08-26       Impact factor: 4.304

4.  Computer Aided Semi-Automated Evaluation of HER2 Immunodetection--A Robust Solution for Supporting the Accuracy of Anti HER2 Therapy.

Authors:  Tamás Micsik; Gábor Kiszler; Daniel Szabó; László Krecsák; Csaba Hegedűs; Krenács Tibor; Béla Molnár
Journal:  Pathol Oncol Res       Date:  2015-03-19       Impact factor: 3.201

5.  Digital Microscopy, Image Analysis, and Virtual Slide Repository.

Authors:  Famke Aeffner; Hibret A Adissu; Michael C Boyle; Robert D Cardiff; Erik Hagendorn; Mark J Hoenerhoff; Robert Klopfleisch; Susan Newbigging; Dirk Schaudien; Oliver Turner; Kristin Wilson
Journal:  ILAR J       Date:  2018-12-01

6.  Utility of multispectral imaging in automated quantitative scoring of immunohistochemistry.

Authors:  Christopher Fiore; Dyane Bailey; Niamh Conlon; Xiaoqiu Wu; Neil Martin; Michelangelo Fiorentino; Stephen Finn; Katja Fall; Swen-Olof Andersson; Ove Andren; Massimo Loda; Richard Flavin
Journal:  J Clin Pathol       Date:  2012-03-23       Impact factor: 3.411

7.  Monitoring chemotherapeutic response by hyperpolarized 13C-fumarate MRS and diffusion MRI.

Authors:  Lionel Mignion; Prasanta Dutta; Gary V Martinez; Parastou Foroutan; Robert J Gillies; Bénédicte F Jordan
Journal:  Cancer Res       Date:  2013-11-27       Impact factor: 12.701

8.  Image analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation.

Authors:  Lynne Dobson; Catherine Conway; Alan Hanley; Alex Johnson; Sean Costello; Anthony O'Grady; Yvonne Connolly; Hilary Magee; Daniel O'Shea; Michael Jeffers; Elaine Kay
Journal:  Histopathology       Date:  2010-06-24       Impact factor: 5.087

9.  Technical note on the validation of a semi-automated image analysis software application for estrogen and progesterone receptor detection in breast cancer.

Authors:  László Krecsák; Tamás Micsik; Gábor Kiszler; Tibor Krenács; Dániel Szabó; Viktor Jónás; Gergely Császár; László Czuni; Péter Gurzó; Levente Ficsor; Béla Molnár
Journal:  Diagn Pathol       Date:  2011-01-18       Impact factor: 2.644

10.  Image analysis algorithms for immunohistochemical assessment of cell death events and fibrosis in tissue sections.

Authors:  Maryla Krajewska; Layton H Smith; Juan Rong; Xianshu Huang; Marc L Hyer; Nikolajs Zeps; Barry Iacopetta; Steven P Linke; Allen H Olson; John C Reed; Stan Krajewski
Journal:  J Histochem Cytochem       Date:  2009-03-16       Impact factor: 2.479

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