超声参数对甲状腺癌患者淋巴结转移的预测价值

The Predictive Value of Ultrasound Parameters for Lymph Node Metastasis in Thyroid Cancer Patients

摘要: 目的：分析超声参数对于甲状腺癌患者淋巴结转移中所起到的预测价值。方法：收集2022年1月~2023年1月接诊的甲状腺疾病伴随淋巴结肿大患者70例作为研究对象，根据患者手术治疗之后的病理结果将其分组，分别为甲状腺癌组以及非甲状腺癌组，两组患者全部接受超声检查，对于达峰时间、峰值强度以及平均通过时间进行统计，研究超声参数对于甲状腺癌患者淋巴结转移的预测价值。结果：甲状腺癌组患者的达峰时间、峰值强度以及平均通过时间和非甲状腺癌组患者进行对比明显降低，两者对比差异明显(P < 0.05)；以手术后的病理结果为准，超声参数诊断甲状腺的准确率为93.33%，诊断非甲状腺癌的准确率为87.50%，两者对比无差异(P > 0.05)；超声参数对于甲状腺癌患者检出淋巴结转移36枚，术后病理检查检出34枚，符合率为94.44%。结论：通过超声参数能够良好的预测甲状腺癌患者淋巴结转移，为疾病的诊断和治疗提供可靠的参考数据。

Abstract: Objective: To analyze the predictive value of ultrasound parameters in lymph node metastasis in thyroid cancer patients. Method: A total of 70 patients with thyroid disease accompanied by lymph node enlargement who were diagnosed from January 2022 to January 2023 were collected as re-search subjects. They were divided into two groups based on the pathological results after surgical treatment, namely the thyroid cancer group and the non thyroid cancer group. Both groups of pa-tients underwent ultrasound examination, and the peak time, peak intensity, and average transit time were statistically analyzed. We study the predictive value of ultrasound parameters for lymph node metastasis in thyroid cancer patients. The peak time, peak intensity, and average transit time of patients in the thyroid cancer group were significantly reduced compared to those in the non thyroid cancer group, with significant differences between the two groups (P < 0.05); Based on the pathological results after surgery, the accuracy of ultrasound parameters in diagnosing thyroid is 93.33%, and the accuracy of diagnosing non thyroid cancer is 87.50%. There is no difference be-tween the two (P > 0.05); Ultrasound parameters detected 36 lymph node metastases in thyroid cancer patients, and postoperative pathological examination detected 34, with a coincidence rate of 94.44%. Conclusion: Ultrasound parameters can effectively predict lymph node metastasis in thy-roid cancer patients, providing reliable reference data for the diagnosis and treatment of diseases.