Literature DB >> 16613327

Use of whole slide imaging in surgical pathology quality assurance: design and pilot validation studies.

Jonhan Ho1, Anil V Parwani, Drazen M Jukic, Yukako Yagi, Leslie Anthony, John R Gilbertson.   

Abstract

By imaging large numbers of slides automatically at high resolution, modem automated whole slide imaging (WSI) systems have the potential to become useful tools in pathology practice. This article describes a pilot validation study for use of automated high-speed WSI systems for surgical pathology quality assurance (QA). This was a retrospective comparative study in which 24 full genitourinary cases (including 47 surgical parts and 391 slides) were independently reviewed with traditional microscopy and whole slide digital images. Approximately half the cases had neoplasia in the diagnostic line. At the end of the study, diagnostic discrepancies were evaluated by a pathology consensus committee. The study pathologists felt that the traditional and WSI methods were comparable for case review. They reported no difference in perceived case complexity or diagnostic confidence between the methods. There were 4 clinically insignificant discrepancies with the signed-out cases: 2 from glass slide and 2 with WSI review. Of the 2 discrepancies reported by the WSI method, the committee agreed with the reviewer once and the original report once. At the end of the study, the participants agreed that automated WSI is a viable potential modality for surgical pathology QA, especially in multifacility health systems that would like to establish interfacility QA. The participants felt that major issues limiting the implementation of WSI-based QA did not involve image acquisition or quality but rather image management issues such as the pathologist's interface, the hospital's network, and integration with the laboratory information system.

Entities:  

Mesh:

Year:  2006        PMID: 16613327     DOI: 10.1016/j.humpath.2005.11.005

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  59 in total

1.  Use of Digital Whole Slide Imaging in Dermatopathology.

Authors:  Tracy Onega; Lisa M Reisch; Paul D Frederick; Berta M Geller; Heidi D Nelson; Jason P Lott; Andrea C Radick; David E Elder; Raymond L Barnhill; Michael W Piepkorn; Joann G Elmore
Journal:  J Digit Imaging       Date:  2016-04       Impact factor: 4.056

2.  [Cytology in the internet].

Authors:  K Glatz; L Bubendorf; D Glatz
Journal:  Pathologe       Date:  2007-09       Impact factor: 1.011

3.  A web-based solution for viewing large-sized microscopic images.

Authors:  Chung-Yueh Lien; Hsu-Chih Teng; Deng-Ji Chen; Woei-Chyn Chu; Chia-Hung Hsiao
Journal:  J Digit Imaging       Date:  2008-06-27       Impact factor: 4.056

4.  Machine learning-based image analysis for accelerating the diagnosis of complicated preneoplastic and neoplastic ductal lesions in breast biopsy tissues.

Authors:  Shinya Sato; Satoshi Maki; Takashi Yamanaka; Daisuke Hoshino; Yukihide Ota; Emi Yoshioka; Kae Kawachi; Kota Washimi; Masaki Suzuki; Yoichiro Ohkubo; Tomoyuki Yokose; Toshinari Yamashita; Seiji Ohtori; Yohei Miyagi
Journal:  Breast Cancer Res Treat       Date:  2021-05-01       Impact factor: 4.872

5.  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

6.  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

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.  Cytologic evaluation of image-guided fine needle aspiration biopsies via robotic microscopy: A validation study.

Authors:  Guoping Cai; Lisa A Teot; Walid E Khalbuss; Jing Yu; Sara E Monaco; Drazen M Jukic; Anil V Parwani
Journal:  J Pathol Inform       Date:  2010-05-26

9.  Atrial fibrillation ablation outcome is predicted by left atrial remodeling on MRI.

Authors:  Christopher McGann; Nazem Akoum; Amit Patel; Eugene Kholmovski; Patricia Revelo; Kavitha Damal; Brent Wilson; Josh Cates; Alexis Harrison; Ravi Ranjan; Nathan S Burgon; Tom Greene; Dan Kim; Edward V R Dibella; Dennis Parker; Rob S Macleod; Nassir F Marrouche
Journal:  Circ Arrhythm Electrophysiol       Date:  2013-12-20

10.  Linking whole-slide microscope images with DICOM by using JPEG2000 interactive protocol.

Authors:  Vilppu J Tuominen; Jorma Isola
Journal:  J Digit Imaging       Date:  2009-05-05       Impact factor: 4.056

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.