Evidence map›Paper›PMID 39654376›Full record

ArticleHistopathology2025

Nuclear morphological characterisation of lobular carcinoma variants: a morphometric study.

Ayaka Katayama, Shorouk Makhlouf, Michael S Toss, Tetsunari Oyama, Emad A Rakha

Abstract read
In one paragraph

Article in Histopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

5 authors.

Ayaka KatayamaDiagnostic Pathology, Gunma University Graduate School of Medicine, Maebashi, Japan.ORCID https://orcid.org/0000-0002-8667-158X
Shorouk MakhloufAcademic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0003-3889-9659
Michael S TossAcademic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0002-9077-3984
Tetsunari OyamaDiagnostic Pathology, Gunma University Graduate School of Medicine, Maebashi, Japan.ORCID https://orcid.org/0000-0002-5513-460X
Emad A RakhaAcademic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0002-5009-5525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsLobular carcinoma (LC) of the breast exhibits diverse morphology and clinical behaviour. The pleomorphic variant (pLC) displays distinct cytonuclear features and aggressiveness compared to the classic variant (cLC). However, diagnosing pLC remains subjective. This study aims to refine LC's cytonuclear features, focusing on pLC.

methodsWhole slide images of 59 LCs, including both in situ (LCIS) and invasive (ILC) lesions, were analysed. Nuclear measurements, including nuclear size and variability, were scored using QuPath image analysis software. For comparison, selected features were scored in normal cells (n = 10) and pleomorphism score-matched invasive breast carcinoma (IBC) of NST type (n = 33). Additional visual assessment of the pleomorphic ILC (pILC) cohort (n = 90) was conducted for cytomorphological features characterisation.

resultspILC demonstrated larger nuclear area and higher nuclear variability with abundance of cytoplasm than cILC. Compared to lymphocytes, pILC demonstrated a median area ranging from 2.7 to 4.7 times larger. Cut-off values for differentiating pILC from other ILC subtypes included median nuclear area > 48.2 μm

conclusionsObjective nuclear measurements, combined with cytoplasmic and architectural features, provide a robust framework for diagnosing LC subtypes, improving diagnostic accuracy and reproducibility.

Indexed as

Breast NeoplasmsCarcinoma, LobularCell NucleusAdultAgedFemaleHumansMiddle Agedbreastbreast cancerlobular carcinomanuclear size

Identifiers

PMID39654376
PMCPMC11903112

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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.