ArticleJournal of cytology
Role of morphometry in the cytological differentiation of benign and malignant thyroid lesions.
Article in Journal of cytology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06901908 (Role of Cytomorphometry and BRAFV600E Immunocytochemistry With a Cytologic Diagnosis "Suspicious for Papillary Thyroid Carcinoma"), which is not on this map. Cited by 3 papers.
What it found
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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.
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.
Role of Cytomorphometry and BRAFV600E Immunocytochemistry With a Cytologic Diagnosis "Suspicious for Papillary Thyroid Carcinoma"
Who cites it
3 citing papers in PubMed, 11 citations in OpenAlex.
- Correlation Between Molecular Genetic Analysis and Nuclear Pleomorphism in Long-Term Recurrent and Metastatic Chordoma.Cancers · 2026Article
- Morphometric study in thyroid tumors.Experimental and therapeutic medicine · 2023Article
- Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextThyroid nodules represent a common problem, with an estimated prevalence of 4-7%. Although fine needle aspiration cytology (FNAC) has been accepted as a first line diagnostic test, the rate of false negative reports of malignancy is still high. Nuclear morphometry is the measurement of nuclear parameters by image analysis. Image analysis can merge the advantages of morphologic interpretation with those of quantitative data.
aimsTo evaluate the nuclear morphometric parameters in fine needle aspirates of thyroid lesions and to study its role in differentiating benign from malignant thyroid lesions. MATERIAL AND
methodsThe study included 19 benign and 16 malignant thyroid lesions. Image analysis was performed on Giemsa-stained FNAC slides by Nikon NIS-Elements Advanced Research software (Version 4.00). Nuclear morphometric parameters analyzed included nuclear size, shape, texture, and density parameters. STATISTICAL ANALYSIS: Normally distributed continuous variables were compared using the unpaired RESULTS AND
conclusionFive out of the six nuclear size parameters as well as all the texture and density parameters studied were significant in distinguishing between benign and malignant thyroid lesions (
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Registered trials
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