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甲状腺结节恶性风险分层:四种超声甲状腺影像报告和数据系统在手术切除结节中的比较。

Malignancy risk stratification of thyroid nodules: comparisons of four ultrasound Thyroid Imaging Reporting and Data Systems in surgically resected nodules.

机构信息

Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.

Department of Medical Ultrasound, Yangpu Hospital, Tongji University School of Medicine, Shanghai, 200090, China.

出版信息

Sci Rep. 2017 Sep 14;7(1):11560. doi: 10.1038/s41598-017-11863-0.

DOI:10.1038/s41598-017-11863-0
PMID:28912438
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5599531/
Abstract

To compare the efficiency of four different ultrasound (US) Thyroid Imaging Reporting and Data Systems (TI-RADS) in malignancy risk stratification in surgically resected thyroid nodules (TNs). The study included 547 benign TNs and 464 malignant TNs. US images of the TNs were retrospectively reviewed and categorized according to the TI-RADSs published by Horvath E et al. (TI-RADS H), Park et al. (TI-RADS P), Kwak et al. (TI-RADS K) and Russ et al. (TI-RADS R). The diagnostic performances for the four TI-RADSs were then compared. At multivariate analysis, among the suspicious US features, marked hypoechogenicity was the most significant independent predictor for malignancy (OR: 15.344, 95% CI: 5.313-44.313) (P < 0.05). Higher sensitivity was seen in TI-RADS H, TI-RADS K, TI-RADS R comparing with TI-RADS P (P < 0.05 for all), whereas the specificity, accuracy and area under the ROC curve (Az) of TI-RADS P were the highest (all P < 0.05). Higher specificity, accuracy and Az were seen in TI-RADS K compared with TI-RADS R (P = 0.003). With its higher sensitivity, TI-RADS K, a simple predictive model, is practical and convenient for the management of TNs in clinical practice. The study indicates that there is a good concordance between TI-RADS categories and histopathology.

摘要

比较四种不同的超声(US)甲状腺影像报告和数据系统(TI-RADS)在外科切除的甲状腺结节(TN)中的恶性风险分层中的效率。该研究纳入了 547 个良性 TN 和 464 个恶性 TN。回顾性地对 TN 的 US 图像进行了分析,并根据 Horvath E 等人发表的 TI-RADS(TI-RADS H)、Park 等人发表的 TI-RADS(TI-RADS P)、Kwak 等人发表的 TI-RADS(TI-RADS K)和 Russ 等人发表的 TI-RADS(TI-RADS R)进行了分类。然后比较了这四种 TI-RADS 的诊断性能。在多变量分析中,在可疑的 US 特征中,明显的低回声是恶性的最显著独立预测因素(OR:15.344,95%CI:5.313-44.313)(P<0.05)。与 TI-RADS P 相比,TI-RADS H、TI-RADS K 和 TI-RADS R 的敏感性更高(所有 P<0.05),而 TI-RADS P 的特异性、准确性和 ROC 曲线下面积(Az)最高(所有 P<0.05)。与 TI-RADS R 相比,TI-RADS K 的特异性、准确性和 Az 更高(P=0.003)。TI-RADS K 具有较高的敏感性,是一种简单的预测模型,在临床实践中对 TN 的管理具有实用性和方便性。研究表明,TI-RADS 分类与组织病理学之间具有良好的一致性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e985/5599531/3eb01c5829ce/41598_2017_11863_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e985/5599531/3e9637742bdf/41598_2017_11863_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e985/5599531/3eb01c5829ce/41598_2017_11863_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e985/5599531/3e9637742bdf/41598_2017_11863_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e985/5599531/3eb01c5829ce/41598_2017_11863_Fig2_HTML.jpg

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