Jiang Nan, Feng Qian-Qing, Li Yue, Yu Xin, Su Xiao-Ni, Jin Zhuang
Department of Ultrasound Diagnosis, General Hospital of Northern Theater Command, Shenyang, Liaoning, China.
Department of Ultrasound Diagnosis, Chongqing University Cancer Hospital, Chongqing, China.
Med Sci Monit. 2024 Dec 27;30:e945793. doi: 10.12659/MSM.945793.
BACKGROUND Solitary thyroid nodules present a challenge in differentiating between benign and malignant conditions using ultrasound (US). Arrival time parameter imaging (At-PI) following contrast-enhanced ultrasound (CEUS) can effectively visualize the vascular architectural patterns of the nodules, providing valuable diagnostic information. This study aimed to explore the application value of At-PI in differentiating thyroid nodules, specifically focusing on a sample of 127 cases. MATERIAL AND METHODS From October 2020 to December 2023, 127 thyroid nodules from 108 patients who underwent ultrasound and CEUS examinations at the General Hospital of Northern Theater Command were reviewed. Pathological outcomes served as the criterion standard, categorizing the nodules into a benign group (44 cases) and a malignant group (83 cases). At-PI was employed to analyze the CEUS videos, allowing for a comparison of parameters between the 2 groups. Additionally, the diagnostic performance of 2 quantitative parameters was assessed using receiver operating characteristic (ROC) curves. RESULTS After conducting the chi-square test, the differences between the 2 groups regarding enhancement time, perfusion pattern, and perfusion defect were found to be statistically significant (P<0.05). There was a significant difference between the 2 groups over the time span (ΔT) (P<0.05). The areas under the curve (AUCs) for ΔT₄₋₃ and ΔT₆₋₅ were 0.715 (95% CI: 0.624-0.805) and 0.763 (95% CI: 0.676-0.851). CONCLUSIONS At-PI can offer more effective parameters for differentiating thyroid nodules. Additionally, some of these parameters exhibit notable diagnostic performance in the detection of thyroid cancer.
背景 孤立性甲状腺结节在利用超声(US)鉴别良性和恶性病变方面存在挑战。对比增强超声(CEUS)后的到达时间参数成像(At-PI)能够有效显示结节的血管构筑模式,提供有价值的诊断信息。本研究旨在探讨At-PI在鉴别甲状腺结节中的应用价值,特别关注127例样本。
材料与方法 回顾2020年10月至2023年12月期间在北部战区总医院接受超声和CEUS检查的108例患者的127个甲状腺结节。以病理结果作为标准,将结节分为良性组(44例)和恶性组(83例)。采用At-PI分析CEUS视频,比较两组之间的参数。此外,使用受试者工作特征(ROC)曲线评估两个定量参数的诊断性能。
结果 进行卡方检验后,发现两组在增强时间、灌注模式和灌注缺损方面的差异具有统计学意义(P<0.05)。两组在时间跨度(ΔT)上存在显著差异(P<0.05)。ΔT₄₋₃和ΔT₆₋₅的曲线下面积(AUC)分别为0.715(95%CI:0.624-0.805)和0.763(95%CI:0.676-0.851)。
结论 At-PI可为鉴别甲状腺结节提供更有效的参数。此外,其中一些参数在甲状腺癌检测中表现出显著的诊断性能。