Celik Zeliha Esin, Altinay Serdar, Kilinc Fahriye, Arslan Nur, Yilmaz Burcu Sanal, Karabagli Pınar, Ugurluoglu Ceyhan
Assistant professor, Pathology Department, Faculty of Medicine, Selcuk University, 42000, Selcuklu, Konya, Turkey.
Associate professor, Pathology Department, Faculty of Medicine, Selcuk University, 42000, Selcuklu, Konya, Turkey.
Diagn Cytopathol. 2016 Nov;44(11):902-911. doi: 10.1002/dc.23611. Epub 2016 Sep 15.
Only a small number of studies on computerized cytomorphometry have been performed for thyroid FNAC. The present study aimed to determine the usefulness of computerized cytomorphometry methods to further classify thyroid lesions as benign or malignant and to compare the practicability and value of using Papanicolaou (Pap) and Giemsa stains in thyroid FNAC by evaluating their association to various cytologic nuclear parameters.
Fifty-eight thyroid lesions diagnosed by FNAC and categorized according to the Bethesda system for reporting thyroid cytopathology were evaluated in terms of various cytologic nuclear parameters, including nuclear area (NA), nuclear perimeter (NP), nuclear density (ND), long nuclear diameter (LND), and short nuclear diameter (SND). The Pap- and Giemsa-stained slides were examined separately.
In the malignant cases, NA, NP, LND, and SND were higher than in the benign cases for both the Pap and Giemsa stains. NA, NP, LND, and SND were higher in Giemsa than Pap for both the benign and malignant groups. Statistically significant differences were detected between the benign and malignant cases in the AUS category.
Computerized cytomorphometry is useful in distinguishing between benign and malignant lesions in thyroid FNAC. The measurement of cytologic nuclear parameters in cases suggestive of AUS may be useful for the probable classification of cases as benign or malignant. Although further studies are needed, in nuclear morphometric assessment of thyroid FNAC, Giemsa staining may be more useful and valuable than the Pap stain because of its association with various cytologic nuclear parameters. Diagn. Cytopathol. 2016;44:902-911. © 2016 Wiley Periodicals, Inc.
针对甲状腺细针穿刺抽吸活检（FNAC）的计算机细胞形态计量学研究较少。本研究旨在确定计算机细胞形态计量学方法在进一步将甲状腺病变分类为良性或恶性方面的实用性，并通过评估其与各种细胞学核参数的关联，比较巴氏（Pap）染色和吉姆萨染色在甲状腺FNAC中的实用性和价值。
对58例经FNAC诊断并根据甲状腺细胞病理学报告的贝塞斯达系统分类的甲状腺病变，评估其各种细胞学核参数，包括核面积（NA）、核周长（NP）、核密度（ND）、核长径（LND）和核短径（SND）。分别检查巴氏染色和吉姆萨染色的玻片。
在恶性病例中，巴氏染色和吉姆萨染色的NA、NP、LND和SND均高于良性病例。良性和恶性组中，吉姆萨染色的NA、NP、LND和SND均高于巴氏染色。在AUS类别中，良性和恶性病例之间检测到统计学上的显著差异。
计算机细胞形态计量学有助于区分甲状腺FNAC中的良性和恶性病变。对提示AUS的病例进行细胞学核参数测量可能有助于将病例可能分类为良性或恶性。尽管需要进一步研究，但在甲状腺FNAC的核形态计量评估中，由于吉姆萨染色与各种细胞学核参数相关，可能比巴氏染色更有用和有价值。诊断细胞病理学。2016；44：902 - 911。©2016威利期刊公司。
