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非典型低回声结节:基于 TIRADS 系统比较的甲状腺恶性肿瘤风险分层和准确性的多中心研究。

Non-Marked Hypoechogenic Nodules: Multicenter Study on the Thyroid Malignancy Risk Stratification and Accuracy Based on TIRADS Systems Comparison.

机构信息

Radiology Research Laboratory, Riga Stradins University, LV-1007 Riga, Latvia.

Diagnostic Radiology Institute, Pauls Stradins Clinical University Hospital, LV-1002 Riga, Latvia.

出版信息

Medicina (Kaunas). 2022 Feb 9;58(2):257. doi: 10.3390/medicina58020257.

DOI:10.3390/medicina58020257
PMID:35208581
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8875125/
Abstract

: The aim of the study was to evaluate the predictive value of the ultrasound criterion "non-marked hypoechogenicity" for malignancy and to determine whether classification of these nodules as TIRADS 3 could improve the overall accuracy of consequently adjusted M-TIRADS score. : A total of 767 patients with 795 thyroid nodules were subject to ultrasonography examination and ultrasound-guided fine needle aspiration biopsy. Nodules were classified by Kwak TIRADS and modified (M-TIRADS) categories 4A, 4B, and 5 according to number of suspicious US features (marked hypoechogenicity, microlobulated or irregular margins, microcalcifications, taller-than-wide shape, metastatic lymph nodes). Non-marked hypoechoic nodules were classified as TIRADS 3. : Thyroid nodules were classified as TIRADS 2, 3, 4A, 4B, and 5 in 14.5, 57.5, 14.2, 8.1, and 5.7%, respectively. Only histopathologic results (125 nodules underwent surgery) and highly specific cytology results (Bethesda II, VI) were accepted as a standard of reference, forming a sub-cohort of 562/795 nodules (70.7%). Malignancy was found in 7.7%. Overall, M-TIRADS showed sensitivity/specificity of 93.02/81.31%, and for PPV/NPV, these were 29.2/99.29%, respectively (OR-18.62). Irregular margins showed the highest sensitivity and specificity (75.68/93.74%, respectively). In TIRADS 3 category, 37.2% nodules were isoechoic, 6.6% hyperechoic, and 52.2% hypoechoic (there was no difference of malignancy risk in hypoechoic nodules between M-TIRADS and Kwak systems-0.9 vs. 0.8, respectively). Accuracy of M-TIRADS classification in this cohort was 78.26% vs. 48.11% for Kwak. : The non-marked hypoechoic nodule pattern correlated with low risk of malignancy; classification of these nodules as TIRADS 3 significantly improved the predictive value and overall accuracy of the proposed M-TIRADS scoring with malignancy risk increase in TIRADS 4 categories by 20%; and no significant alteration of malignancy risk in TIRADS 3 could contribute to reducing overdiagnosis, obviating the need for FNA.

摘要

: 本研究旨在评估超声标准“无标记低回声性”对恶性肿瘤的预测价值,并确定将这些结节分类为 TIRADS 3 是否可以提高随后调整的 M-TIRADS 评分的整体准确性。 : 共有 767 名患者的 795 个甲状腺结节接受了超声检查和超声引导下细针抽吸活检。根据可疑超声特征的数量(标记性低回声、微叶状或不规则边缘、微钙化、高宽比、转移性淋巴结),将结节分为 Kwak TIRADS 和改良(M-TIRADS)类别 4A、4B 和 5。无标记低回声性结节被分类为 TIRADS 3。 : 甲状腺结节的 TIRADS 分类分别为 2、3、4A、4B 和 5 的比例为 14.5%、57.5%、14.2%、8.1%和 5.7%。只有组织病理学结果(125 个结节接受了手术)和高特异性细胞学结果(Bethesda II、VI)被接受为参考标准,形成了 562/795 个结节的亚组(70.7%)。恶性肿瘤的发现率为 7.7%。总的来说,M-TIRADS 的敏感性/特异性为 93.02%/81.31%,而对于阳性预测值/阴性预测值,分别为 29.2%/99.29%(OR-18.62)。不规则边缘的敏感性和特异性最高(分别为 75.68%和 93.74%)。在 TIRADS 3 类别中,37.2%的结节为等回声,6.6%为高回声,52.2%为低回声(M-TIRADS 和 Kwak 系统之间低回声结节的恶性风险无差异-0.9 与 0.8)。在该队列中,M-TIRADS 分类的准确性为 78.26%,而 Kwak 为 48.11%。 : 无标记低回声结节模式与恶性肿瘤的低风险相关;将这些结节分类为 TIRADS 3 可显著提高预测价值和整体准确性,将 TIRADS 4 类的恶性肿瘤风险增加 20%;而 TIRADS 3 中恶性肿瘤风险无显著变化可能有助于减少过度诊断,避免需要进行 FNA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/07960e8be2fa/medicina-58-00257-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/a22d9a3a7719/medicina-58-00257-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/295024fbee8d/medicina-58-00257-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/bbbb6b76c7f9/medicina-58-00257-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/176d1c4c6f5d/medicina-58-00257-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/6eabdf475a33/medicina-58-00257-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/07960e8be2fa/medicina-58-00257-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/a22d9a3a7719/medicina-58-00257-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/295024fbee8d/medicina-58-00257-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/bbbb6b76c7f9/medicina-58-00257-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/176d1c4c6f5d/medicina-58-00257-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/6eabdf475a33/medicina-58-00257-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac83/8875125/07960e8be2fa/medicina-58-00257-g006.jpg

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