The accuracy of fine-needle aspiration cytology and ultrasonography in assessing thyroid nodules in correlation with histopathology: a retrospective study.

IF 1.7 Q2 MEDICINE, GENERAL & INTERNAL Annals of Medicine and Surgery Pub Date : 2024-10-23 eCollection Date: 2024-12-01 DOI:10.1097/MS9.0000000000002676
Mana Alhajlan, Mohammed Al-Masabi, Mohammed Al Mansour, Abdullah Saihb, Salem AlAyed, Rakan Alwadai, Abdullah Alhamami, Abdullah Alzarra, Mohammed Almarzooq, Faisal Ahmed
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Abstract

Background: Accurately diagnosing thyroid nodules is vital for preventing unnecessary surgeries and providing prompt therapy. Although fine-needle aspiration cytology (FNAC) and ultrasonography (US) are widely used diagnostic methods, their reliability is questioned. This study investigates the effectiveness of US and FNAC in thyroid nodule diagnosis and differentiates benign from malignant nodules in relation to final histopathological diagnosis.

Method: A retrospective study including 307 adult patients with thyroid diseases who underwent neck US and FNAC before surgery was conducted between April 2019 and May 2023. The diagnostic efficacy of US, FNAC, and their combination usage was compared to histopathological results.

Result: Histopathological findings revealed that 187 (61%) cases were benign, while 120 (39%) were malignant. The US features of 'taller-than-wider' forms and hypoechoic appearance had the highest diagnostic accuracy in characterizing malignant thyroid nodules, with 83 and 73% accuracy, respectively. The combination of US parameters demonstrated high sensitivity, specificity, positive predictive value, and negative predictive value (NPV) of 88.33, 63.10, 60.6, and 89.4%, with a statistically significant area under the ROC curve (AUC: 0.828, P<0.001) than individual parameters. FNAC's sensitivity, specificity, PPV NPV, and accuracy in detecting malignant lesions were 50, 95, 86, 75, and 77%, respectively, with acceptable discrimination and statistical significance (AUC: 0.723, P<0.0001). The combination of US parameters and FNAC significantly improved the AUC value (AUC: 0.878, P<0.0001), sensitivity (83.33%), and specificity (79.14%). Univariate analysis showed that hypoechoic appearance, heterogenicity, large mass size (>4 cm), 'taller-than-wider', infiltrative margins, and microcalcifications were risk factors for malignancy in thyroid nodules and were statistically significant (all P-values <0.05).

Conclusion: Combining US characteristics with FNAC results can afford the maximum analytical accuracy in distinguishing benign from malignant thyroid nodules. This strategy is practical due to its simplicity, minimal invasiveness, and cost-effectiveness, enabling robust management regimens and avoiding additional surgical procedures.

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细针穿刺细胞学和超声检查评估甲状腺结节与组织病理学相关性的准确性:一项回顾性研究。
背景:准确诊断甲状腺结节对于预防不必要的手术和及时提供治疗至关重要。虽然细针穿刺细胞学(FNAC)和超声检查(US)是广泛使用的诊断方法,但其可靠性受到质疑。本研究探讨了US和FNAC在甲状腺结节诊断中的有效性,以及鉴别良性和恶性结节与最终组织病理学诊断的关系。方法:2019年4月至2023年5月,对307例术前行颈部US和FNAC的成年甲状腺疾病患者进行回顾性研究。将US、FNAC及其联合应用的诊断效果与组织病理学结果进行比较。结果:组织病理学结果显示,187例(61%)为良性,120例(39%)为恶性。“高比宽”形态和低回声表现的US特征在诊断恶性甲状腺结节时准确率最高,分别为83%和73%。联合US参数具有较高的敏感性、特异性,阳性预测值和阴性预测值(NPV)分别为88.33、63.10、60.6和89.4%,ROC曲线下面积(AUC: 0.828, PPP4 cm)、“高大于宽”、浸润边缘、微钙化是甲状腺结节恶性的危险因素,均具有统计学意义(p值均为p值)。结合US特征和FNAC结果可以提供最大的分析准确性来区分甲状腺结节的良恶性。该策略因其简单、侵入性小、成本效益高、实现稳健的管理方案和避免额外的外科手术而具有实用性。
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来源期刊
Annals of Medicine and Surgery
Annals of Medicine and Surgery MEDICINE, GENERAL & INTERNAL-
自引率
5.90%
发文量
1665
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