Evidence map›Paper›PMID 30778169›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2019

Whole slide imaging equivalency and efficiency study: experience at a large academic center.

Matthew G Hanna, Victor E Reuter, Meera R Hameed, Lee K Tan, Sarah Chiang, Carlie Sigel, Travis Hollmann, Dilip Giri, Jennifer Samboy, Carlos Moradel and 10 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 4 pooled it
16.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

104 citing papers in PubMed, 4 syntheses or guidelines pooled it, 195 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Digital Pathology in Hematopathology: From Vision to Deployment.International journal of laboratory hematology · 2026
    Review
  14. Article
  15. Review
  16. Article
  17. Validation of Digital Cytology for Primary Diagnosis Across a Range of Specimen Types.Cytopathology : official journal of the British Society for Clinical Cytology · 2026
    Article
  18. Article
  19. The evolving role of DICOM in digital pathology.Journal of pathology informatics · 2026
    Review
  20. Review

44 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 1 institution in 1 country.

Matthew G HannaDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.ORCID http://orcid.org/0000-0002-7536-1746
Victor E ReuterDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Meera R HameedDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Lee K TanDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Sarah ChiangDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Carlie SigelDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Travis HollmannDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.ORCID http://orcid.org/0000-0003-1599-0433
Dilip GiriDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Jennifer SamboyDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Carlos MoradelDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Andrea RosadoDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
John R OtilanoDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Christine EnglandDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Lorraine CorsaleDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Evangelos StamelosDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Yukako YagiDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Peter J SchüfflerDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
Thomas FuchsDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
David S KlimstraDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA.
S Joseph SirintrapunDepartment of Pathology, Memorial Sloan Kettering, New York, NY, USA. sirintrs@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole slide imaging is Food and Drug Administration-approved for primary diagnosis in the United States of America; however, relatively few pathology departments in the country have fully implemented an enterprise wide digital pathology system enabled for primary diagnosis. Digital pathology has significant potential to transform pathology practice with several published studies documenting some level of diagnostic equivalence between digital and conventional systems. However, whole slide imaging also has significant potential to disrupt pathology practice, due to the differences in efficiency of manipulating digital images vis-à-vis glass slides, and studies on the efficiency of actual digital pathology workload are lacking. Our randomized, equivalency and efficiency study aimed to replicate clinical workflow, comparing conventional microscopy to a complete digital pathology signout using whole slide images, evaluating the equivalency and efficiency of glass slide to whole slide image reporting, reflective of true pathology practice workloads in the clinical setting. All glass slides representing an entire day's routine clinical signout workload for six different anatomic pathology subspecialties at Memorial Sloan Kettering Cancer Center were scanned on Leica Aperio AT2 at ×40 (0.25 µm/pixel). Integration of whole slide images for each accessioned case is through an interface between the Leica eSlide manager database and the laboratory information system, Cerner CoPathPlus. Pathologists utilized a standard institution computer workstation and viewed whole slide images through an internally developed, vendor agnostic whole slide image viewer, named the "MSK Slide Viewer". Subspecialized pathologists first reported on glass slides from surgical pathology cases using routine clinical workflow. Glass slides were de-identified, scanned, and re-accessioned in the laboratory information system test environment. After a washout period of 13 weeks, pathologists reported the same clinical workload using whole slide image integrated within the laboratory information system. Intraobserver equivalency metrics included top-line diagnosis, margin status, lymphovascular and/or perineural invasion, pathology stage, and the need to order ancillary testing (i.e., recuts, immunohistochemistry). Turnaround time (efficiency) evaluation was defined by the start of each case when opened in the laboratory information system and when the case was completed for that day (i.e., case sent to signout queue or pending ancillary studies). Eight pathologists participated from the following subspecialties: bone and soft tissue, genitourinary, gastrointestinal, breast, gynecologic, and dermatopathology. Glass slides signouts comprised of 204 cases, encompassing 2091 glass slides; and digital signouts comprised of 199 cases, encompassing 2073 whole slide images. The median whole slide image file size was 1.54 GB; scan time/slide, 6 min 24 s; and scan area 32.1 × 18.52 mm. Overall diagnostic equivalency (e.g., top-line diagnosis) was 99.3% between digital and glass slide signout; however, signout using whole slide images showed a median overall 19% decrease in efficiency per case. No significant difference by reader, subspecialty, or specimen type was identified. Our experience is the most comprehensive study to date and shows high intraobserver whole slide image to glass slide equivalence in reporting of true clinical workflows and workloads. Efficiency needs to improve for digital pathology to gain more traction among pathologists.

Indexed as

HumansImage Processing, Computer-AssistedMicroscopyPathology, ClinicalPathology, SurgicalReproducibility of ResultsTelepathology

Identifiers

PMID30778169
OpenAlexW2912194425

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.