Evidence map›Paper›PMID 33847759›Full record

ArticleAmerican journal of clinical pathology2021

Ki-67 Proliferation Index Assessment in Gastroenteropancreatic Neuroendocrine Tumors by Digital Image Analysis With Stringent Case and Hotspot Level Concordance Requirements.

Sarag A Boukhar, Matthew D Gosse, Andrew M Bellizzi, Anand Rajan K D

Abstract read
In one paragraph

Article in American journal of clinical pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Ki-67 assessment of pancreatic neuroendocrine neoplasms: Systematic review and meta-analysis of manual vs. digital pathology scoring.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Pooled it
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  8. The University of Iowa Neuroendocrine Tumor Clinic.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
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  12. Automated assessment of Ki-67 proliferation index in neuroendocrine tumors by deep learning.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2022
    Article
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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

4 authors.

Sarag A BoukharDepartment of Pathology, University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, USA.
Matthew D GosseDepartment of Pathology, University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, USA.
Andrew M BellizziDepartment of Pathology, University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, USA.ORCID 0000-0002-8264-6379
Anand Rajan K DDepartment of Pathology, University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, USA.ORCID 0000-0002-6368-5217

Funding

Project 4: New Approaches to Improving the Effectiveness of Radionuclide Targeted Treatments in Neuroendocrine TumorsP50CA174521 · NCI · UNIVERSITY OF IOWA · PI ODORISIO, THOMAS · 2015 to 2021
$13.2M
NCI NIH HHS P50 CA174521NIH HHS P50 CA174521-01A1
6 · The paper itself

Abstract

objectivesThe Ki-67 proliferation index is integral to gastroenteropancreatic neuroendocrine tumor (GEP-NET) assessment. Automated Ki-67 measurement would aid clinical workflows, but adoption has lagged owing to concerns of nonequivalency. We sought to address this concern by comparing 2 digital image analysis (DIA) platforms to manual counting with same-case/different-hotspot and same-hotspot/different-methodology concordance assessment.

methodsWe assembled a cohort of GEP-NETs (n = 20) from 16 patients. Two sets of Ki-67 hotspots were manually counted by three observers and by two DIA platforms, QuantCenter and HALO. Concordance between methods and observers was assessed using intraclass correlation coefficient (ICC) measures. For each comparison pair, the number of cases within ±0.2xKi-67 of its comparator was assessed.

resultsDIA Ki-67 showed excellent correlation with manual counting, and ICC was excellent in both within-hotspot and case-level assessments. In expert-vs-DIA, DIA-vs-DIA, or expert-vs-expert comparisons, the best-performing was DIA Ki-67 by QuantCenter, which showed 65% cases within ±0.2xKi-67 of manual counting.

conclusionsKi-67 measurement by DIA is highly correlated with expert-assessed values. However, close concordance by strict criteria (>80% within ±0.2xKi-67) is not seen with DIA-vs-expert or expert-vs-expert comparisons. The results show analytic noninferiority and support widespread adoption of carefully optimized and validated DIA Ki-67.

Indexed as

Biomarkers, TumorCell ProliferationCohort StudiesHumansImage Processing, Computer-AssistedImmunohistochemistryIntestinal NeoplasmsKi-67 AntigenNeoplasm GradingNeuroendocrine TumorsPancreatic NeoplasmsStomach NeoplasmsBiomarkers, TumorKi-67 AntigenConcordanceDigital image analysisGradingKi-67NeuroendocrineValidation immunohistochemistryWhole-slide imaging

Identifiers

PMID33847759
PMCPMC8427716

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Registered trials

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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.