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甲状腺肿瘤的形态计量学研究。

Morphometric study in thyroid tumors.

作者信息

Mohorea Iuliana, Socea Bogdan, Carâp Alexandru Constantin, Șerban Dragoş, Ceaușu Zenaida, Ceauşu Mihail

机构信息

Department of Pathology, Brăila Emergency County Hospital, Brăila 810325, Romania.

Department of Surgery, 'Carol Davila' University of Medicine and Pharmacy, Bucharest 020021, Romania.

出版信息

Exp Ther Med. 2023 Sep 6;26(4):497. doi: 10.3892/etm.2023.12196. eCollection 2023 Oct.

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.

摘要

为了基于甲状腺病变的大小和肿瘤细胞核的色谱特征来确定其恶性程度,已经考虑了各种使用数字图像分析的形态核研究。核形态计量学涉及测量核参数,以便以客观且可重复的方式获得具有诊断重要性的信息。本研究的目的是评估对甲状腺病变组织病理学制剂进行详细的形态计量分析,并研究其在鉴别甲状腺良性和恶性病变中的作用。本研究纳入了10例良性和26例恶性甲状腺病例,伴有不同的选定甲状腺病变。使用连接到计算机化视频系统的显微镜,测量并分析了包括核面积、周长、平均强度、红色平均、宽度和圆度在内的核形态计量参数。统计计算中使用的主要参数在区分甲状腺良性和恶性病变方面具有显著性。对于疑似恶性滤泡性病变,细胞学涂片形态计量学的关联提高了对滤泡性病变进行可疑恶性诊断的准确性。核形态计量学提供了一个无偏的观点,提高了诊断准确性。计算机化形态计量学可以对诊断准确性产生积极影响,使其与临床和影像数据有更好的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/796f/10515107/6954dd9ff044/etm-26-04-12196-g00.jpg

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