Evidence map›Paper›PMID 41058556›Full record

ArticleTurk patoloji dergisi2026

Estimating Tumor Proportion in Smear Slides for Reliable Molecular Analysis.

Cisel Aydin Mericoz, Ibrahim Kulac, Pinar Firat

Abstract read
In one paragraph

Article in Turk patoloji dergisi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Cisel Aydin MericozDepartment of Pathology, School of Medicine, Koç University, ISTANBUL, TÜRKİYE.
Ibrahim KulacDepartment of Pathology, School of Medicine, Koç University, ISTANBUL, TÜRKİYE.
Pinar FiratDepartment of Pathology, School of Medicine, Koç University, ISTANBUL, TÜRKİYE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe use of molecular pathology is critical in diagnostics and theranostics. Today, cytological smears are utilized for molecular testing more often than ever. Accurate tumor cell percentage estimation is essential for reliable molecular testing, but its consistency remains uncertain. This study evaluates the reliability of tumor cell percentage estimations among an expert cytopathologist, a molecular cytopathologist, and a molecular pathologist. MATERIAL AND

methodsDigital images from May-Grünwald-Giemsa (MGG)-stained smear slides of ten EBUS-guided mediastinal lymph node samples were selected. Five regions per slide were evaluated (50 areas from 10 patients). Three pathologists independently estimated tumor cell percentages using predefined categories (0-10%, 11-20%, 21-50%, etc.). Cells were also counted manually as the gold standard.

resultsThe molecular cytopathologist (Observer 1 -) showed the highest consistency (Kappa = 0.69), followed by the expert cytopathologist (Observer 3 -, Kappa = 0.64), both demonstrating substantial agreement with the gold standard. The molecular pathologist (Observer 2 -) displayed moderate consistency (Kappa = 0.52). Agreement was most significant in the 71-100% category, aligning in over 95% of cases. The lowest value occurred in the 11-20% category. In this category, tumor proportions were frequently overestimated compared to the gold standard.

conclusionVariability in tumor percentage estimations shows the need for standardized protocols and training. Substantial agreement was reached in specific categories. However, discrepancies in borderline cases highlight the importance of accurate assessments. More research is needed to improve estimation methods.

Indexed as

Lymph NodesPathology, MolecularEndoscopic Ultrasound-Guided Fine Needle AspirationHumansObserver VariationPathologistsPredictive Value of TestsReproducibility of Results

Identifiers

PMID41058556
PMCPMC12925395

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