评估 ACR-TIRADS 和 Bethesda 分类在甲状腺结节细胞组织病理学研究中的诊断作用。

Marwa S Eissa, Rania M Sabry, Mona S Abdellateif
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摘要

目的评估甲状腺成像报告和数据系统(ACR-TIRADS)和贝塞斯达细胞病理学报告系统(TBSRCP)分类在确定或排除甲状腺恶性肿瘤方面与金标准(手术后病理学)相比的准确性:这是一项横断面研究,共纳入了573例单发或多发甲状腺结节患者。采用TIRADS和TBSRCP分类法对患者进行评估。研究数据与接受手术的 77/573 例患者(13.4%)的术后病理结果以及患者的相关临床特征相关联:545例(95.1%)患者甲状腺功能正常,24例(4.1%)患者甲状腺功能减退,只有4例(0.8%)患者甲状腺功能亢进。419名(73.1%)患者有良性结节(贝塞斯达II),115名(20.1%)患者有中等结节(贝塞斯达III、IV),39名(6.8%)患者有贝塞斯达V、VI。有 420 名(73.3%)患者为 TIRADS 2、3 级,153 名(26.7%)患者为 TIRADS 4、5 级。在甲状腺结节的诊断中,贝塞斯达和 TIRADS 有明显的一致性(K=14.9%,PC 结论:TIRADS和TBSRCP是评估甲状腺结节的基本步骤,两者互为补充。因此,建议每位甲状腺结节患者在匆忙进行手术前都要同时进行这两个步骤。高度可疑的TIRADS分类TR4和TR5需要通过细针穿刺细胞学(FNAC)进行进一步评估。
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Evaluating the Diagnostic Role of ACR-TIRADS and Bethesda Classifications in Thyroid Nodules Highlighted by Cyto-Histopathological Studies.

Objective: To evaluate the accuracy of thyroid imaging reporting and data system (ACR-TIRADS) and the Bethesda system for reporting cytopathology (TBSRCP) classifications for identifying or ruling out thyroid malignancy in relation to the gold standard (post-surgical pathology).

Methods: This cross-sectional study included 573 patients with single or multiple thyroid nodules. Patients were evaluated using the TIRADS and the TBSRCP classification. The data from a cohort of patients who underwent surgery (77/573, 13.4%) were correlated with post-operative pathology and the relevant clinical features of the patients.

Results: Of 573 patients, 545 (95.1%) were euthyroid, 24 (4.1%) were hypothyroid, and 4 (0.8%) were hyperthyroid; 419 (73.1%) had benign nodules (Bethesda II), 115 (20.1%) had intermediate (Bethesda III, IV), and 39 (6.8%) had Bethesda V and VI nodules. Four-hundred twenty (73.3%) patients were categorized as TIRADS 2,3, and 153 (26.7%) were categorized as TIRADS 4,5. The Bethesda and TIRADS classifications concorded significantly in thyroid nodule diagnosis (K=14.9%, P<0.001).Thyroid malignancy was significantly associated with microcalcification and interrupted halo, while benign nodules were significantly associated with macrocalcification and complete halo type (P=0.041, P=0.005, respectively). The TBSRCP could significantly detect malignant thyroid nodules with a sensitivity, specificity, PPV, and NPV of 64.1%, 98.1%, 85.0%, and 94.1%, respectively (K=88.2%, P<0.001), while the respective values for the TIRADS classification were 63.5%, 76.0%, 84.6%, and 50.0% (K=34.8%, P=0.001).

Conclusion: The TIRADS and TBSRCP are essential primary steps for evaluating thyroid nodules and both are complimentary. Hence, each patient with thyroid nodules should be evaluated by both approaches before opting for surgery. Highly suspicious TIRADS categories TR4 and TR5 need further evaluation by fine needle aspiration cytology.

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