Evidence map›Paper›PMID 36268057›Full record

ArticleJournal of pathology informatics2022

Whole slide image data utilization informed by digital diagnosis patterns.

Kimberly Ashman, Huimin Zhuge, Erin Shanley, Sharon Fox, Shams Halat, Andrew Sholl, Brian Summa, J Quincy Brown

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pathology informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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  5. Article
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

8 authors.

Kimberly AshmanTulane University, Department of Biomedical Engineering, New Orleans, LA 70118, USA.
Huimin ZhugeTulane University, Department of Biomedical Engineering, New Orleans, LA 70118, USA.
Erin ShanleyTulane University, Department of Biomedical Engineering, New Orleans, LA 70118, USA.
Sharon FoxLSU Health Sciences Center, Department of Pathology, New Orleans, LA 70112, USA.
Shams HalatTulane School of Medicine, Tulane University Department of Pathology and Lab Medicine, New Orleans, LA 70112, USA.
Andrew ShollDelta Pathology Group, Touro Infirmary, New Orleans, LA 70115, USA.
Brian SummaTulane University, Department of Computer Science, New Orleans, LA 70118, USA.
J Quincy BrownTulane University, Department of Biomedical Engineering, New Orleans, LA 70118, USA.

Funding

High speed automated intraoperative microscopy of the prostate circumference to ensure tumor-free margins in radical prostatectomyR01CA222831 · NCI · TULANE UNIVERSITY OF LOUISIANA · PI BROWN, JONATHAN QUINCY · 2018 to 2021
$1.6M
NCI NIH HHS R01 CA222831
6 · The paper itself

Abstract

Context: Despite the benefits of digital pathology, data storage and management of digital whole slide images introduces new logistical and infrastructure challenges to traditionally analog pathology labs. Aims: Our goal was to analyze pathologist slide diagnosis patterns to determine the minimum number of pixels required during the diagnosis. Methods: We developed a method of using pathologist viewing patterns to vary digital image resolution across virtual slides, which we call variable resolution images. An additional pathologist reviewed the variable resolution images to determine if diagnoses could still be rendered. Results: Across all slides, the pathologists rarely zoomed in to the full resolution level. As a result, the variable resolution images are significantly smaller than the original whole slide images. Despite the reduction in image sizes, the final pathologist reviewer could still proide diagnoses on the variable resolution slide images. Conclusions: Future studies will be conducted to understand variability in resolution requirements between and within pathologists. These findings have the potential to dramatically reduce the data storage requirements of high-resolution whole slide images.

Identifiers

PMID36268057
PMCPMC9577055

What OpenQuestion holds

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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.