Literature DB >> 20946967

The role and impact of quantitative discovery pathology.

Steven J Potts1, G David Young, Frank A Voelker.   

Abstract

The decision to advance an early-stage compound into formal preclinical testing depends on confidence in mechanism, efficacy and toxicity profiles. A substantial percentage of this confidence comes from histopathology interpretation, as the local tissue environment contains strong signals of both efficacy and toxicity. Accessing this tissue information is made difficult by biological variability across organs and tissues, an insufficient pool of pathology experts working in discovery, and the high subjectivity and individual isolation of microscope-based observations. This article describes how whole-slide imaging and quantitative analysis by trained pathologists are improving early-stage decision-making.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20946967     DOI: 10.1016/j.drudis.2010.09.001

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  7 in total

1.  Quantifying histological features of cancer biospecimens for biobanking quality assurance using automated morphometric pattern recognition image analysis algorithms.

Authors:  Joshua D Webster; Eleanor R Simpson; Aleksandra M Michalowski; Shelley B Hoover; R Mark Simpson
Journal:  J Biomol Tech       Date:  2011-09

2.  Digital pathology and image analysis augment biospecimen annotation and biobank quality assurance harmonization.

Authors:  Bih-Rong Wei; R Mark Simpson
Journal:  Clin Biochem       Date:  2013-12-18       Impact factor: 3.281

3.  Investigation into diagnostic agreement using automated computer-assisted histopathology pattern recognition image analysis.

Authors:  Joshua D Webster; Aleksandra M Michalowski; Jennifer E Dwyer; Kara N Corps; Bih-Rong Wei; Tarja Juopperi; Shelley B Hoover; R Mark Simpson
Journal:  J Pathol Inform       Date:  2012-04-18

4.  3D Imaging Detection of HER2 Based in the Use of Novel Affibody-Quantum Dots Probes and Ratiometric Analysis.

Authors:  Perla Pérez-Treviño; Héctor Hernández-De la Cerda; Jorge Pérez-Treviño; Oscar Raúl Fajardo-Ramírez; Noemí García; Julio Altamirano
Journal:  Transl Oncol       Date:  2018-04-05       Impact factor: 4.243

Review 5.  Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association.

Authors:  Famke Aeffner; Mark D Zarella; Nathan Buchbinder; Marilyn M Bui; Matthew R Goodman; Douglas J Hartman; Giovanni M Lujan; Mariam A Molani; Anil V Parwani; Kate Lillard; Oliver C Turner; Venkata N P Vemuri; Ana G Yuil-Valdes; Douglas Bowman
Journal:  J Pathol Inform       Date:  2019-03-08

6.  Quantification of myocardial fibrosis by digital image analysis and interactive stereology.

Authors:  Dainius Daunoravicius; Justinas Besusparis; Edvardas Zurauskas; Aida Laurinaviciene; Daiva Bironaite; Sabine Pankuweit; Benoit Plancoulaine; Paulette Herlin; Julius Bogomolovas; Virginija Grabauskiene; Arvydas Laurinavicius
Journal:  Diagn Pathol       Date:  2014-06-09       Impact factor: 2.644

7.  Evaluation of diffusion-weighted MRI and (18F) fluorothymidine-PET biomarkers for early response assessment in patients with operable non-small cell lung cancer treated with neoadjuvant chemotherapy.

Authors:  Dominic Carlin; Alexander Weller; Gem Kramer; Yan Liu; John C Waterton; Arturo Chiti; Martina Sollini; A Joop de Langen; Mary E R O'Brien; Maria Urbanowicz; Bart Km Jacobs; Nandita deSouza
Journal:  BJR Open       Date:  2019-07-20
  7 in total

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