High resolution ultrasonography of thyroid nodules: can ultrasonographic assessment obviate the need for invasive aspiration cytology in ultrasonographically benign lesions?

Shadab Maqsood, Inzimam Wani, Omair Shah, T. Gojwari, Zubaida Rasool, B. Laway, Shujaut Farooq
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Abstract

The use of high-resolution ultrasound (HRUS) thyroid imaging has resulted in a significant revolution in the treatment of thyroid nodules. The enigma of thyroid nodules has been a blind spot for radiologists for a long period. Reporting a thyroid nodule as benign or malignant is quite difficult and many times not accurate. The American Collage of Radiology-Thyroid Imaging Reporting and Data System (ACR-TIRADS) 2017 classification has solved this problem to a large extent. However, the classification needed pathological confirmation for it to be highly accurate. We compared our HRUS-based TIRADS labeling of thyroid nodules with thyroid cytopathology using revised Bethesda classification system. Patients detected with thyroid nodules by HRUS were categorized using ACR-TIRADS and further were taken for fine needle aspiration cytology (FNAC) in our department. The pathological results were compared with the initial TIRADS category of the nodule and the effectiveness of the TIRADS classification in categorizing nodules into benign and malignant was assessed using various statistical variables. The initial USG and the FNAC were performed by a single radiologist with over 10 years of experience. A total of 201 patients underwent HRUS followed by FNAC after obtaining written consent in our department. The thyroid nodules labeled as true benign on ACR-TIRADS (TIRADS 2) were all true benign on Bethesda cytopathology (less than Bethesda III), confirming the high accuracy of HRUS. The diagnostic accuracy of HRUS in cases of ACR-TIRADS 3 nodules was approximately 90.6% with an error rate of 9.4%. Nodules labeled as ACR-TIRADS 4 and 5 had error rates of 47% and 10% in labeling nodules as malignant. The ultrasound-based ACR-TIRADS system can accurately predict the likelihood of specific nodules being benign. There is a strong concordance between Bethesda cytology and ACR-TIRADS classification, particularly for benign nodules. In resource-constrained system like ours, patients with TIRADS 2 and 3 nodules can be safely followed obviating the need for an invasive procedure like FNAC.
甲状腺结节的高分辨率超声检查:超声检查是否可以避免超声良性病变的浸润性吸痰细胞学检查?
高分辨率超声(HRUS)甲状腺成像的使用导致了甲状腺结节治疗的重大革命。长期以来,甲状腺结节之谜一直是放射科医生的一个盲点。报告甲状腺结节是良性还是恶性是相当困难的,而且很多时候是不准确的。美国放射学-甲状腺成像报告和数据系统(ACR-TIRADS) 2017年分类在很大程度上解决了这一问题。然而,分类需要病理证实才能高度准确。我们将基于hras的甲状腺结节TIRADS标记与使用修订的Bethesda分类系统的甲状腺细胞病理学进行比较。HRUS检测到甲状腺结节的患者采用ACR-TIRADS进行分类,并行细针穿刺细胞学检查(FNAC)。将病理结果与结节的初始TIRADS分类进行比较,并利用各种统计变量评估TIRADS分类对结节良恶性分类的有效性。最初的USG和FNAC是由一位具有10年以上经验的放射科医生进行的。201例患者经我科书面同意行HRUS后行FNAC。在ACR-TIRADS上标记为真良性的甲状腺结节(TIRADS 2)在Bethesda细胞病理学上均为真良性(少于Bethesda III),证实了HRUS的高准确性。HRUS对ACR-TIRADS 3型结节的诊断准确率约为90.6%,错误率为9.4%。标记为ACR-TIRADS 4和5的结节在标记为恶性结节时的错误率分别为47%和10%。基于超声的ACR-TIRADS系统可以准确预测特定结节为良性的可能性。Bethesda细胞学和ACR-TIRADS分类之间有很强的一致性,特别是对于良性结节。在像我们这样资源受限的系统中,TIRADS 2和3型结节患者可以安全地随访,避免了像FNAC这样的侵入性手术的需要。
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