美国放射学院甲状腺影像报告数据系统的诊断准确性:一项单中心横断面研究。
Diagnostic Accuracy of American College of Radiology Thyroid Imaging Reporting Data System: A Single-center Cross-sectional Study.
机构信息
Center for Diabetes Thyroid and Endocrine Disorders, St. Luke's Medical Center, Global City, Taguig, Philippines.
Department of Radiology, Section of Ultrasonography, St. Luke's Medical Center, Global City, Taguig, Philippines.
出版信息
J ASEAN Fed Endocr Soc. 2024;39(1):61-68. doi: 10.15605/jafes.039.01.08. Epub 2024 Jan 8.
OBJECTIVE
This study aims to evaluate the diagnostic accuracy of the American College of Radiology Thyroid Imaging Reporting Data System (ACR TI-RADS) in identifying nodules that need to undergo fine-needle aspiration biopsy (FNAB) and identify specific thyroid ultrasound characteristics of nodules associated with thyroid malignancy in Filipinos in a single tertiary center.
METHODOLOGY
One hundred seventy-six thyroid nodules from 130 patients who underwent FNAB from January 2018 to December 2018 were included. The sonographic features were described and scored using the ACR TI-RADS risk classification system, and the score was correlated to their final cytopathology results.
RESULTS
The calculated malignancy rates for TI-RADS 2 to TI-RADS 5 were 0%, 3.13%, 7.14%, and 38.23%, respectively, which were within the TI-RADS risk stratification thresholds. The ACR TI-RADS had a sensitivity of 89.5% and specificity of 54%, LR + of 1.95 and LR - of 0.194, NPV of 97.7%, PPV of 19.1%, and accuracy of 58%.
CONCLUSION
The ACR TI-RADS may provide an effective malignancy risk stratification for thyroid nodules and may help guide the decision for FNAB among Filipino patients. The classification system may decrease the number of unnecessary FNABs for nodules with low-risk scores.
目的
本研究旨在评估美国放射学院甲状腺影像报告数据系统(ACR TI-RADS)在识别需要进行细针抽吸活检(FNAB)的结节以及确定菲律宾单中心人群中与甲状腺恶性肿瘤相关的特定甲状腺超声特征方面的诊断准确性。
方法
纳入了 2018 年 1 月至 2018 年 12 月期间因 FNAB 而就诊的 130 名患者的 176 个甲状腺结节。使用 ACR TI-RADS 风险分类系统描述和评分超声特征,并将评分与最终的细胞学病理结果相关联。
结果
TI-RADS 2 至 TI-RADS 5 的恶性率分别为 0%、3.13%、7.14%和 38.23%,均在 TI-RADS 风险分层阈值内。ACR TI-RADS 的灵敏度为 89.5%,特异性为 54%,LR+为 1.95,LR-为 0.194,NPV 为 97.7%,PPV 为 19.1%,准确性为 58%。
结论
ACR TI-RADS 可对甲状腺结节进行有效的恶性风险分层,并有助于指导菲律宾患者进行 FNAB 的决策。该分类系统可减少低风险评分结节的不必要 FNAB 数量。