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    声触诊组织成像联合超声血管增强技术诊断低回声 局灶性桥本甲状腺炎的价值

    Application of virtual touch tissue imaging combined with ultrasound vascular enhancement technique in the diagnosis of hypoechoic focal Hashimoto thyroiditis

    • 摘要: 目的 探讨声触诊组织成像(VTI)联合超声血管增强技术(VET)在低回声局灶性桥本甲状腺炎(FHT)诊断中的应用价值。方法 回顾性分析经超声引导下细针穿刺抽吸术(FNA)或手术病理确诊的甲状腺低回声病灶52枚,其中FHT 20枚,甲状腺乳头状癌(PTC)32枚。观察病灶高频超声、VTI及VET特征,评估VTI联合VET对低回声FHT的诊断效能。结果 95%(19/20)FHT病灶的VTI评分为1~3分,78%(25/32)PTC病灶VTI评分为4~5分,二者VTI评分比较差异有统计学意义(P<0.05)。VET显示FHT及PTC的血管形态及病灶内外甲状腺组织回声比较,差异有统计学意义(P<0.05)。VTI≤3分联合VET显示病灶内外甲状腺组织回声一致诊断FHT的敏感度、特异度、准确率分别为85.0%、93.8%、 90.4%。结论 VTI联合VET可有效鉴别低回声FHT及PTC,提高低回声FHT诊断准确率,具有较高的临床应用价值。

       

      Abstract: Objective To explore the application of virtual touch tissue imaging (VTI) combined with ultrasound vascular enhancement technique (VET) in the diagnosis of focal hypoechoic Hashimoto thyroiditis (FHT). Methods A total of 52 hypoechoic thyroid lesions, including 20 FHT cases and 32 papillary thyroid carcinoma (PTC) cases, which were diagnosed by ultrasound-guided fine needle aspiration (FNA) or surgical pathology were selected and their clinical data were retrospectively analyzed. The characteristics of the lesions were observed by high-frequency ultrasound, VTI and VET to evaluate the diagnostic efficacy of VTI combined with VET for hypoechoic FHT. Results The VTI score was 1 to 3 for 95% (19/20) FHT cases and 4 to 5 for 78% (25/32) PTC cases, which was statistically different (P<0.05). VET results showed that there were statistical differences between FHT and PTC in the vascular morphology and the echo of thyroid tissue within and outside the lesion (P<0.05). When VTI score ≤3 combined with VET were used for diagnosis efficacy of the echo of thyroid tissue within and outside the lesion for FHT, the sensitivity, specificity, and accuracy was 85.0%, 93.8%, and 90.4%, respectively. Conclusions VTI combined with VET can effectively distinguish hypoechoic FHT and PTC and improve the diagnostic accuracy of hypoechoic FHT, with high clinical application value.

       

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