甲状腺疾病与影像学和生化血清标记物的细胞形态学相关性研究

Dr. Zeenath Begum, Dr. Zoya Riyaz Syeda, Dr. Rohit Anil Khare, Dr. Sumaiyya Firdous, Dr. Asra Fatima
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引用次数: 0

摘要

甲状腺是重要的内分泌器官,甲状腺肿大是影响甲状腺的各种疾病最常见的表现,包括非肿瘤性病变和良性与恶性肿瘤。甲状腺肿大是影响甲状腺的各种疾病最常见的表现,包括非肿瘤性病变和良性及恶性肿瘤性疾病2。2 FNAC的贝塞斯达分类法有助于根据甲状腺概况和放射成像做出处理决定。FNAC后的甲状腺细胞学报告贝塞斯达系统是甲状腺细胞学的统一报告系统。3,4甲状腺在组织学上由20-40个甲状腺滤泡组成,这些滤泡产生三碘甲状腺原氨酸(T3)和甲状腺素(T4),而这些物质又受垂体前叶分泌的促甲状腺激素(TSH)的调节。根据 T3、T4 和 TSH 水平,甲状腺病变可分为甲状腺功能亢进、甲状腺功能减退和甲状腺功能亢进。高分辨率超声波检查(USG)是评估甲状腺结节的第一线检查方法。甲状腺成像报告和数据系统(TIRADS)是一个基于 USG 的甲状腺结节风险分层系统。在 TIRADS 中属于高风险类别的受试者要在 USG 引导下进行细针穿刺细胞学检查。与 USG 引导下的 FNAC 相比,传统的 FNAC 通常结果较少。1 在印度人群中,有关甲状腺结节的声学分类及其与生化检查结果和最终组织病理学诊断的细胞学关联的数据研究较少。1 在印度人群中,有关甲状腺结节的声学分类及其与生化检查结果和最终组织病理学诊断之间的关联的数据研究较少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cytomorphological Correlational Study of Thyroid Disorders with Imaging and Biochemical Serum Markers
The thyroid disorders are diagnosed through ultrasonography and USG guided fine-needle aspiration cytology (FNAC) worldwide with implementation of the Bethesda system of reporting Thyroid cytology as an excellent less invasive primary line of investigation.1 The thyroid is an important and prime endocrine organ. The swelling of the thyroid gland is the commonest manifestation of various disorders affecting the thyroid, including non-neoplastic lesions and neoplastic both benign and malignant disorders.2 Bethesda categorization in FNAC aids in the decision for the management along with thyroid profile and radiological imaging. The Bethesda system of reporting thyroid cytology after FNAC is a uniform reporting system of thyroid cytology. FNAC is cheap, cost-effective, less invasive and less time-consuming.3,4 The thyroid gland composed histologically of 20-40 thyroid follicles, they produce triiodothyronine(T3) and thyroxin (T4) which are in turn regulated by thyroid-stimulating hormone (TSH) which is produced by the anterior pituitary gland. Thyroid lesions can be categorized as euthyroid, hypothyroid or hyperthyroid based on T3, T4, and TSH levels.5 The current goal in thyroid nodule evaluation is to determine whether it is benign or malignant. High resolution ultrasonography (USG) is the first line of investigation in evaluation of thyroid nodules. Thyroid imaging reporting and data system (TIRADS) is an USG-based risk stratification system for classification of thyroid nodules. Subjects with high-risk category of TIRADS undergo USG-guided fine needle aspiration cytology. Conventional FNAC usually yields fewer results compared to USG-guided FNAC.1 Data regarding sonographic classification of thyroid nodule and its cytological association with respect to biochemical findings and final histopathological diagnosis is less studied in the Indian population. Hence, justifying the correlation of various thyroid lesions involving FNAC, biochemical markers, and imaging by USG
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