Evidence map›Paper›PMID 41657846›Full record

ArticleJournal of pathology informatics2025

Ki67 in cytological specimens of pancreatic neuroendocrine tumors: A literature review and validation of automated quantification.

Sahar Narimani, Sophie Pirenne, Birgit Weynand

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sahar NarimaniDepartment of Pathology, University Hospitals Leuven, Leuven, Belgium.
Sophie PirenneDepartment of Pathology, University Hospitals Leuven, Leuven, Belgium.
Birgit WeynandDepartment of Pathology, University Hospitals Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Ki67 proliferation index is mandatory for grading, prognostication, and clinical decision-making in pancreatic neuroendocrine tumors (PanNETs). Automatic Ki67 quantification on cytology has been shown to be at least as accurate, less time-consuming, and more consistent than the current gold-standard manual determination. After a thorough literature review, we aimed to validate the Visiopharm image analysis software for automatic Ki67 quantification on diagnostic cell block material from PanNETs. Methods: We conducted a retrospective study and assembled a cohort of 69 PanNETs from clinical routine with available endoscopic ultrasound fine needle aspiration cell block, Ki67, and synaptophysin immunostained slides. The manual Ki67 index, if available, was obtained from the original pathology report. Otherwise, a manual count was performed by a pathologist using a cell counter. The automatic Ki67 index was quantified through four consecutive algorithms from the Visiopharm Image Analysis software on aligned serial sections. Results: Automatic Ki67 quantification showed a strong correlation with manual counting based on the non-parametric Spearman correlation coefficients of Conclusion: Our findings show accurate assessment of the proliferation index from PanNETs using the Visiopharm software for digital Ki67 quantification and provide a prevalidation framework for the implementation of this technique in pathology practice. Discrepancies were mainly seen in Grade 2 tumors due to tumor heterogeneity of Grade 2 lesions. To this end, future research should seek refinement of the digital algorithms and examine the reliability of prognosis and clinical endpoints based on this technique.

Indexed as

Cell blockCytological gradeDigital image analysisDigital pathologyKi67 proliferation indexPancreatic neuroendocrine tumor

Identifiers

PMID41657846
PMCPMC12879570

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.