Literature DB >> 22855694

Pathology Imaging Informatics for Clinical Practice and Investigative and Translational Research.

Evita T Sadimin1, David J Foran.   

Abstract

Pathologists routinely interpret gross and microscopic specimens to render diagnoses and to engage in a broad spectrum of investigative research. Multiple studies have demonstrated that imaging technologies have progressed to a level at which properly digitized specimens provide sufficient quality comparable to the traditional glass slides examinations. Continued advancements in this area will have a profound impact on the manner in which pathology is conducted from this point on. Several leading institutions have already undertaken ambitious projects directed toward digitally imaging, archiving, and sharing pathology specimens. As a result of these advances, the use of informatics in diagnostic and investigative pathology applications is expanding rapidly. In addition, the advent of novel technologies such as multispectral imaging makes it possible to visualize and analyze imaged specimens using multiple wavelengths simultaneously. As these powerful technologies become increasingly accepted and adopted, the opportunities for gaining new insight into the underlying mechanisms of diseases as well as the potential for discriminating among subtypes of pathologies are growing accordingly.

Entities:  

Year:  2012        PMID: 22855694      PMCID: PMC3407842          DOI: 10.7156/v5i2p103

Source DB:  PubMed          Journal:  N Am J Med Sci (Boston)        ISSN: 1946-9357


  55 in total

1.  Micro-structural tissue analysis for automatic histopathological image annotation.

Authors:  Gloria Díaz; Eduardo Romero
Journal:  Microsc Res Tech       Date:  2011-10-14       Impact factor: 2.769

Review 2.  Digital microscopy: past, present, and future.

Authors:  Cyrus V Hedvat
Journal:  Arch Pathol Lab Med       Date:  2010-11       Impact factor: 5.534

3.  Beyond morphology: whole slide imaging, computer-aided detection, and other techniques.

Authors:  Michael D Feldman
Journal:  Arch Pathol Lab Med       Date:  2008-05       Impact factor: 5.534

4.  Improved automatic detection and segmentation of cell nuclei in histopathology images.

Authors:  Yousef Al-Kofahi; Wiem Lassoued; William Lee; Badrinath Roysam
Journal:  IEEE Trans Biomed Eng       Date:  2009-10-30       Impact factor: 4.538

5.  Whole-slide imaging digital pathology as a platform for teleconsultation: a pilot study using paired subspecialist correlations.

Authors:  David C Wilbur; Kalil Madi; Robert B Colvin; Lyn M Duncan; William C Faquin; Judith A Ferry; Matthew P Frosch; Stuart L Houser; Richard L Kradin; Gregory Y Lauwers; David N Louis; Eugene J Mark; Mari Mino-Kenudson; Joseph Misdraji; Gunnlauger P Nielsen; Martha B Pitman; Andrew E Rosenberg; R Neal Smith; Aliyah R Sohani; James R Stone; Rosemary H Tambouret; Chin-Lee Wu; Robert H Young; Artur Zembowicz; Wolfgang Klietmann
Journal:  Arch Pathol Lab Med       Date:  2009-12       Impact factor: 5.534

6.  Medical education in the digital age: Digital whole slide imaging as an e-learning tool.

Authors:  Kirk Foster
Journal:  J Pathol Inform       Date:  2010-08-10

7.  Development and use of a genitourinary pathology digital teaching set for trainee education.

Authors:  Li Li; Bryan J Dangott; Anil V Parwani
Journal:  J Pathol Inform       Date:  2010-05-26

8.  High-definition hematoxylin and eosin staining in a transition to digital pathology.

Authors:  Jamie D Martina; Christopher Simmons; Drazen M Jukic
Journal:  J Pathol Inform       Date:  2011-10-19

9.  Autofocus methods of whole slide imaging systems and the introduction of a second-generation independent dual sensor scanning method.

Authors:  Michael C Montalto; Richard R McKay; Robert J Filkins
Journal:  J Pathol Inform       Date:  2011-10-19

10.  Evaluation and optimization for liquid-based preparation cytology in whole slide imaging.

Authors:  Roy E Lee; David S McClintock; Nora M Laver; Yukako Yagi
Journal:  J Pathol Inform       Date:  2011-10-19
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  3 in total

Review 1.  Pathology imaging informatics for quantitative analysis of whole-slide images.

Authors:  Sonal Kothari; John H Phan; Todd H Stokes; May D Wang
Journal:  J Am Med Inform Assoc       Date:  2013-08-19       Impact factor: 4.497

2.  Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes.

Authors:  James A Diao; Jason K Wang; Wan Fung Chui; Andrew H Beck; Hunter L Elliott; Amaro Taylor-Weiner; Victoria Mountain; Sai Chowdary Gullapally; Ramprakash Srinivasan; Richard N Mitchell; Benjamin Glass; Sara Hoffman; Sudha K Rao; Chirag Maheshwari; Abhik Lahiri; Aaditya Prakash; Ryan McLoughlin; Jennifer K Kerner; Murray B Resnick; Michael C Montalto; Aditya Khosla; Ilan N Wapinski
Journal:  Nat Commun       Date:  2021-03-12       Impact factor: 14.919

3.  Eliminating tissue-fold artifacts in histopathological whole-slide images for improved image-based prediction of cancer grade.

Authors:  Sonal Kothari; John H Phan; May D Wang
Journal:  J Pathol Inform       Date:  2013-08-31
  3 in total

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