Morphometric study in thyroid tumors

Mohorea,Iuliana; Socea,Bogdan; Carâp,Alexandru Constantin; Șerban,Dragoș; Ceaușu,Zenaida; Ceaușu,Mihail

doi:10.3892/etm.2023.12196

Morphometric study in thyroid tumors

Authors:
- Iuliana Mohorea
- Bogdan Socea
- Alexandru Constantin Carâp
- Dragoș Șerban
- Zenaida Ceaușu
- Mihail Ceaușu
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Affiliations: Department of Pathology, Brăila Emergency County Hospital, Brăila 810325, Romania, Department of Surgery, ‘Carol Davila’ University of Medicine and Pharmacy, Bucharest 020021, Romania, Department of Pathology, Saint Pantelimon Emergency Clinical Hospital Bucharest, Bucharest 021659, Romania, Department of Histopathology, Alexandru Trestioreanu National Institute of Oncology, Bucharest 022328, Romania
Published online on: September 6, 2023 https://doi.org/10.3892/etm.2023.12196
Article Number: 497
Copyright: © Mohorea et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Various morphonuclear studies using digital image analysis have been taken into account in order to establish the malignancy of thyroid lesions based on their size and on the chromatographic characteristics of tumor cell nuclei. Nuclear morphometry involves the measurement of nuclear parameters to obtain diagnostically important information in an objective and reproducible manner. The aim of the present study was to evaluate the detailed morphometric analysis of histopathological preparations with lesions of the thyroid gland and to investigate its role in differentiating between benign and malignant thyroid lesions. The present study included 10 benign and 26 malignant thyroid cases with different selected thyroid lesions. Using a microscope connected to a computerized video system, nuclear morphometric parameters including the nuclear area, perimeter, average intensity, red average, width and roundness, were measured and analyzed. The main parameters used in the statistical calculation were significant in distinguishing between benign and malignant thyroid lesions. The association of morphometry in cytological smears for suspected malignant follicular lesions led to increased accuracy in establishing a suspicious malignant diagnosis for follicular lesions. Nuclear morphometry provides an unbiased point of view that increases diagnosis accuracy. Computerized morphometry can positively influence diagnostic accuracy, allowing for a better correlation with clinical and imaging data.

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