甲状腺肿瘤的形态计量学研究。

Experimental and therapeutic medicine Pub Date : 2023-09-06 eCollection Date: 2023-10-01 DOI:10.3892/etm.2023.12196
Iuliana Mohorea, Bogdan Socea, Alexandru Constantin Carâp, Dragoş Șerban, Zenaida Ceaușu, Mihail Ceauşu
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摘要

为了根据甲状腺病变的大小和肿瘤细胞核的色谱特征确定其恶性程度,已经考虑了使用数字图像分析的各种形态核研究。核形态计量学涉及测量核参数,以客观和可重复的方式获得诊断上重要的信息。本研究的目的是评估甲状腺病变组织病理学制剂的详细形态计量分析,并研究其在区分甲状腺良恶性病变中的作用。本研究包括10例甲状腺良性和26例甲状腺恶性病例,它们有不同的甲状腺病变。使用连接到计算机视频系统的显微镜,测量和分析了核的形态计量参数,包括核面积、周长、平均强度、红色平均值、宽度和圆度。统计计算中使用的主要参数在区分甲状腺良恶性病变方面具有重要意义。可疑恶性卵泡病变细胞学涂片中形态计量学的相关性提高了对卵泡病变进行可疑恶性诊断的准确性。核形态计量学提供了一种无偏见的观点,提高了诊断的准确性。计算机形态测量可以积极影响诊断准确性,从而更好地与临床和成像数据相关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Morphometric study in thyroid tumors.

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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