Literature DB >> 32452840

Whole Slide Imaging: Technology and Applications.

Matthew G Hanna1, Anil Parwani2, Sahussapont Joseph Sirintrapun1.   

Abstract

Pathology has benefited from advanced innovation with novel technology to implement a digital solution. Whole slide imaging is a disruptive technology where glass slides are scanned to produce digital images. There have been significant advances in whole slide scanning hardware and software that have allowed for ready access of whole slide images. The digital images, or whole slide images, can be viewed comparable to glass slides in a microscope, as digital files. Whole slide imaging has increased in adoption among pathologists, pathology departments, and scientists for clinical, educational, and research initiatives. Worldwide usage of whole slide imaging has grown significantly. Pathology regulatory organizations (ie, College of American Pathologists) have put forth guidelines for clinical validation, and the US Food and Drug Administration have also approved whole slide imaging for primary diagnosis. This article will review the digital pathology ecosystem and discuss clinical and nonclinical applications of its use.

Mesh:

Year:  2020        PMID: 32452840     DOI: 10.1097/PAP.0000000000000273

Source DB:  PubMed          Journal:  Adv Anat Pathol        ISSN: 1072-4109            Impact factor:   3.875


  9 in total

Review 1.  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 2.  Progress on deep learning in digital pathology of breast cancer: a narrative review.

Authors:  Jingjin Zhu; Mei Liu; Xiru Li
Journal:  Gland Surg       Date:  2022-04

3.  Substantial improvement of histopathological diagnosis by whole-slide image-based remote consultation.

Authors:  Shizu Shinohara; Andrey Bychkov; Jijgee Munkhdelger; Kishio Kuroda; Han-Seung Yoon; Shota Fujimura; Kazuhiro Tabata; Bungo Furusato; Daisuke Niino; Shinpei Morimoto; Takashi Yao; Tomoo Itoh; Hajime Aoyama; Naoko Tsuyama; Yoshiki Mikami; Toshitaka Nagao; Tohru Ikeda; Noriyoshi Fukushima; Oi Harada; Takako Kiyokawa; Naoki Yoshimi; Shinichi Aishima; Ichiro Maeda; Ichiro Mori; Koji Yamanegi; Koichi Tsuneyama; Ryohei Katoh; Miki Izumi; Yoshinao Oda; Junya Fukuoka
Journal:  Virchows Arch       Date:  2022-06-07       Impact factor: 4.535

4.  Whole Slide Imaging for Teleconsultation: The Mount Sinai Hospital, Labcorp Dianon, and Philips Collaborative Experience.

Authors:  Mehrvash Haghighi; Jay Tolley; Agostino N Schito; Ricky Kwan; Chris Garcia; Shakira Prince; Noam Harpaz; Swan N Thung; Catherine K Craven; Carlos Cordon-Cardo; William H Westra
Journal:  J Pathol Inform       Date:  2021-12-24

Review 5.  Contemporary Whole Slide Imaging Devices and Their Applications within the Modern Pathology Department: A Selected Hardware Review.

Authors:  Ankush Patel; Ulysses G J Balis; Jerome Cheng; Zaibo Li; Giovanni Lujan; David S McClintock; Liron Pantanowitz; Anil Parwani
Journal:  J Pathol Inform       Date:  2021-12-09

6.  Digital Pathology Operations at an NYC Tertiary Cancer Center During the First 4 Months of COVID-19 Pandemic Response.

Authors:  Orly Ardon; Victor E Reuter; Meera Hameed; Lorraine Corsale; Allyne Manzo; Sahussapont J Sirintrapun; Peter Ntiamoah; Evangelos Stamelos; Peter J Schueffler; Christine England; David S Klimstra; Matthew G Hanna
Journal:  Acad Pathol       Date:  2021-04-28

Review 7.  Contemporary Management of Locally Advanced and Recurrent Rectal Cancer: Views from the PelvEx Collaborative.

Authors: 
Journal:  Cancers (Basel)       Date:  2022-02-24       Impact factor: 6.575

8.  The Influence of Social Media in Promoting Knowledge Acquisition and Pathology Excellence in Nigeria.

Authors:  Olaleke Oluwasegun Folaranmi; Kehinde Muibat Ibiyeye; Olabode Ali Odetunde; Darcy A Kerr
Journal:  Front Med (Lausanne)       Date:  2022-06-03

9.  High-Resolution Histopathological Image Classification Model Based on Fused Heterogeneous Networks with Self-Supervised Feature Representation.

Authors:  Zhi-Fei Lai; Gang Zhang; Xiao-Bo Zhang; Hong-Tao Liu
Journal:  Biomed Res Int       Date:  2022-08-21       Impact factor: 3.246

  9 in total

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