Literature DB >> 30307746

A Practical Guide to Whole Slide Imaging: A White Paper From the Digital Pathology Association.

Mark D Zarella1, Douglas Bowman1, Famke Aeffner1, Navid Farahani1, Albert Xthona1, Syeda Fatima Absar1, Anil Parwani1, Marilyn Bui1, Douglas J Hartman1.   

Abstract

CONTEXT.—: Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as a necessary first step for a wide array of digital tools to enter the field. Its basic function is to digitize glass slides, but its impact on pathology workflows, reproducibility, dissemination of educational material, expansion of service to underprivileged areas, and intrainstitutional and interinstitutional collaboration exemplifies a significant innovative movement with far-reaching effects. Although the benefits of WSI to pathology practices, academic centers, and research institutions are many, the complexities of implementation remain an obstacle to widespread adoption. In the wake of the first regulatory clearance of WSI for primary diagnosis in the United States, some barriers to adoption have fallen. Nevertheless, implementation of WSI remains a difficult prospect for many institutions, especially those with stakeholders unfamiliar with the technologies necessary to implement a system or who cannot effectively communicate to executive leadership and sponsors the benefits of a technology that may lack clear and immediate reimbursement opportunity. OBJECTIVES.—: To present an overview of WSI technology-present and future-and to demonstrate several immediate applications of WSI that support pathology practice, medical education, research, and collaboration. DATA SOURCES.—: Peer-reviewed literature was reviewed by pathologists, scientists, and technologists who have practical knowledge of and experience with WSI. CONCLUSIONS.—: Implementation of WSI is a multifaceted and inherently multidisciplinary endeavor requiring contributions from pathologists, technologists, and executive leadership. Improved understanding of the current challenges to implementation, as well as the benefits and successes of the technology, can help prospective users identify the best path for success.

Year:  2018        PMID: 30307746     DOI: 10.5858/arpa.2018-0343-RA

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


  61 in total

1.  Digital pathology in academia: Implementation and impact.

Authors:  Yava Jones-Hall
Journal:  Lab Anim (NY)       Date:  2021-08-04       Impact factor: 12.625

2.  Learned sensing: jointly optimized microscope hardware for accurate image classification.

Authors:  Alex Muthumbi; Amey Chaware; Kanghyun Kim; Kevin C Zhou; Pavan Chandra Konda; Richard Chen; Benjamin Judkewitz; Andreas Erdmann; Barbara Kappes; Roarke Horstmeyer
Journal:  Biomed Opt Express       Date:  2019-11-19       Impact factor: 3.732

Review 3.  Integrating digital pathology into clinical practice.

Authors:  Matthew G Hanna; Orly Ardon; Victor E Reuter; Sahussapont Joseph Sirintrapun; Christine England; David S Klimstra; Meera R Hameed
Journal:  Mod Pathol       Date:  2021-10-01       Impact factor: 7.842

Review 4.  Artificial intelligence and algorithmic computational pathology: an introduction with renal allograft examples.

Authors:  Alton B Farris; Juan Vizcarra; Mohamed Amgad; Lee A D Cooper; David Gutman; Julien Hogan
Journal:  Histopathology       Date:  2021-03-08       Impact factor: 5.087

Review 5.  The Use of Quantitative Digital Pathology to Measure Proteoglycan and Glycosaminoglycan Expression and Accumulation in Healthy and Diseased Tissues.

Authors:  A Sally Davis; Mary Y Chang; Jourdan E Brune; Teal S Hallstrand; Brian Johnson; Sarah Lindhartsen; Stephen M Hewitt; Charles W Frevert
Journal:  J Histochem Cytochem       Date:  2020-09-16       Impact factor: 2.479

Review 6.  Ethics of AI in Pathology: Current Paradigms and Emerging Issues.

Authors:  Chhavi Chauhan; Rama R Gullapalli
Journal:  Am J Pathol       Date:  2021-07-10       Impact factor: 5.770

Review 7.  Polyploid giant cancer cell characterization: New frontiers in predicting response to chemotherapy in breast cancer.

Authors:  Geetanjali Saini; Shriya Joshi; Chakravarthy Garlapati; Hongxiao Li; Jun Kong; Jayashree Krishnamurthy; Michelle D Reid; Ritu Aneja
Journal:  Semin Cancer Biol       Date:  2021-03-22       Impact factor: 17.012

8.  Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association.

Authors:  Giovanni Lujan; Jennifer C Quigley; Douglas Hartman; Anil Parwani; Brian Roehmholdt; Bryan Van Meter; Orly Ardon; Matthew G Hanna; Dan Kelly; Chelsea Sowards; Michael Montalto; Marilyn Bui; Mark D Zarella; Victoria LaRosa; Gerard Slootweg; Juan Antonio Retamero; Mark C Lloyd; James Madory; Doug Bowman
Journal:  J Pathol Inform       Date:  2021-04-07

9.  Quantitative Image Analysis for Tissue Biomarker Use: A White Paper From the Digital Pathology Association.

Authors:  Haydee Lara; Zaibo Li; Esther Abels; Famke Aeffner; Marilyn M Bui; Ehab A ElGabry; Cleopatra Kozlowski; Michael C Montalto; Anil V Parwani; Mark D Zarella; Douglas Bowman; David Rimm; Liron Pantanowitz
Journal:  Appl Immunohistochem Mol Morphol       Date:  2021-08-01

10.  Integrating the Health-care Enterprise Pathology and Laboratory Medicine Guideline for Digital Pathology Interoperability.

Authors:  Rajesh C Dash; Nicholas Jones; Riki Merrick; Gunter Haroske; James Harrison; Craig Sayers; Nick Haarselhorst; Mikael Wintell; Markus D Herrmann; François Macary
Journal:  J Pathol Inform       Date:  2021-03-24
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