Literature DB >> 22213680

Digital imaging in pathology--current applications and challenges.

Elena Brachtel1, Yukako Yagi.   

Abstract

Conventional histopathology is rapidly shifting towards digital integration. Will microscopes (and pathologists) soon be obsolete? Or are we dealing with just another image modality that leaves the core of tissue diagnosis intact? This article provides an overview of current digital pathology applications and research with emphasis on whole slide imaging (WSI). Static or interactive digital pathology work stations already can be used for many purposes, e.g. telepathology expert consultations, frozen section diagnosis in remote areas, cytology screening, quality assurance, diagnostic validations for clinical trials, quantitation of hormone receptor or HER2 studies in breast cancer, or three-dimensional visualization of anatomical structures, among others. Changes of workflow in histology laboratories are beginning to enable digital image acquisition and WSI in a routine setting. WSI plays an increasing role in pathology education, glass slide boxes in medical schools are being replaced by digital slide collections; digital slide seminars and virtual microscopy are used for postgraduate and continuing medical education in pathology. Research and efforts to validate WSI systems for diagnostic settings are ongoing.
Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Mesh:

Year:  2011        PMID: 22213680     DOI: 10.1002/jbio.201100103

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  15 in total

Review 1.  Morphology in the Digital Age: Integrating High-Resolution Description of Structural Alterations With Phenotypes and Genotypes.

Authors:  Cynthia C Nast; Kevin V Lemley; Jeffrey B Hodgin; Serena Bagnasco; Carmen Avila-Casado; Stephen M Hewitt; Laura Barisoni
Journal:  Semin Nephrol       Date:  2015-05       Impact factor: 5.299

2.  Digitized whole slides for breast pathology interpretation: current practices and perceptions.

Authors:  Tracy Onega; Donald Weaver; Berta Geller; Natalia Oster; Anna N A Tosteson; Patricia A Carney; Heidi Nelson; Kimberly H Allison; Frances P O'Malley; Stuart J Schnitt; Joann G Elmore
Journal:  J Digit Imaging       Date:  2014-10       Impact factor: 4.056

3.  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

4.  Double staining cytologic samples with quantitative Feulgen-thionin and anti-Ki-67 immunocytochemistry as a method of distinguishing cells with abnormal DNA content from normal cycling cells.

Authors:  Gerald Li; Martial Guillaud; Michele Follen; Calum MacAulay
Journal:  Anal Quant Cytopathol Histpathol       Date:  2012-10

5.  Deep learning segmentation of glomeruli on kidney donor frozen sections.

Authors:  Xiang Li; Richard C Davis; Yuemei Xu; Zehan Wang; Nao Souma; Gina Sotolongo; Jonathan Bell; Matthew Ellis; David Howell; Xiling Shen; Kyle J Lafata; Laura Barisoni
Journal:  J Med Imaging (Bellingham)       Date:  2021-12-20

6.  Screening and dotting virtual slides: A new challenge for cytotechnologists.

Authors:  Walid E Khalbuss; Jackie Cuda; Ioan C Cucoranu
Journal:  Cytojournal       Date:  2013-10-29       Impact factor: 2.091

7.  A nuclear circularity-based classifier for diagnostic distinction of desmoplastic from spindle cell melanoma in digitized histological images.

Authors:  Manuel Schöchlin; Stephanie E Weissinger; Arnd R Brandes; Markus Herrmann; Peter Möller; Jochen K Lennerz
Journal:  J Pathol Inform       Date:  2014-10-21

8.  Novel histopathologic feature identified through image analysis augments stage II colorectal cancer clinical reporting.

Authors:  Peter D Caie; Ying Zhou; Arran K Turnbull; Anca Oniscu; David J Harrison
Journal:  Oncotarget       Date:  2016-07-12

Review 9.  Updates in ophthalmic pathology.

Authors:  Pia R Mendoza; Hans E Grossniklaus
Journal:  Indian J Ophthalmol       Date:  2017-05       Impact factor: 1.848

10.  Working toward consensus among professionals in the identification of classical cervical cytomorphological characteristics in whole slide images.

Authors:  Odille Bongaerts; Paul J van Diest; Math Pieters; Marius Nap
Journal:  J Pathol Inform       Date:  2015-09-28
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