Evidence map›Paper›PMID 40795826›Full record

ArticleAmerican journal of clinical pathology2025

Reproducibility of Ki67 Haralick entropy as a prognostic marker in estrogen receptor-positive HER2-negative breast cancer.

Dovile Zilenaite-Petrulaitiene, Allan Rasmusson, Ruta Barbora Valkiuniene, Aida Laurinaviciene, Linas Petkevicius, Arvydas Laurinavicius

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In one paragraph

Article in American journal of clinical pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Predicting ki-67 expression in breast cancer via transformer and multiple instance learning on DCE-MRI.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    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

6 authors.

Dovile Zilenaite-PetrulaitieneCenter for Digital Medicine, Translational Health Research Institute, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.ORCID 0000-0002-7221-2868
Allan RasmussonCenter for Digital Medicine, Translational Health Research Institute, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Ruta Barbora ValkiunieneDepartment of Pathology and Forensic Medicine, Institute of Biomedical Sciences, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Aida LaurinavicieneCenter for Digital Medicine, Translational Health Research Institute, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Linas PetkeviciusInstitute of Computer Science, Faculty of Mathematics and Informatics, Vilnius University, Vilnius, Lithuania.
Arvydas LaurinaviciusCenter for Digital Medicine, Translational Health Research Institute, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.

Funding

Research Council of Lithuania S-PD-22-86
6 · The paper itself

Abstract

objectiveIntratumoral heterogeneity (ITH) of Ki67 expression reflects the proliferative diversity of breast cancer (BC) cells and has been associated with disease progression. Quantification of Ki67 ITH using Haralick entropy metric from digital image analysis (DIA) has been reported as an independent predictor of breast cancer-specific survival (BCSS); however, its reproducibility across DIA platforms and dependence on tumor tissue sampling have not been investigated.

methodsWhole-slide images of Ki67-stained tumor sections from 254 patients with ER+/HER2- BC were analyzed independently using HALO and Aiforia DIA platforms. The DIA outputs were subsampled using hexagonal grids to compute Ki67 Haralick entropy. Reproducibility was tested across DIA platforms and under simulated surgical excision and core biopsy scenarios. Lastly, the impact on prognostic modeling for BCSS was assessed.

resultsHaralick entropy demonstrated strong Ki67 ITH cross-platform reproducibility. For prognosis, it provided stronger model performance than conventional Ki67% metrics and independently predicted worse BCSS alongside lymph node involvement. Its prognostic value remained consistent across simulated sampling scenarios.

conclusionsKi67 Haralick entropy is a reproducible and robust image-derived ITH metric in ER+/HER2- BC. It demonstrated improved prognostic modeling performance compared to conventional Ki67% across 2 different DIA platforms and sampling conditions, supporting its potential for clinical implementation.

Indexed as

Biomarkers, TumorBreast NeoplasmsKi-67 AntigenAdultAgedEntropyErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedPrognosisReceptors, EstrogenReproducibility of ResultsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesKi-67 AntigenMKI67 protein, humanReceptors, Estrogenbreast cancerdigital image analysisHaralick texture entropyimmunohistochemistryKi67 proliferation rateprognostic biomarkerspatial heterogeneity

Identifiers

PMID40795826
PMCPMC12495521

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.