摘要
目的 探讨经腹部超声、经阴道超声、剪切波弹性成像联合检查对宫颈癌的诊断价值.方法 选取98例宫颈病变患者,所有患者均行经腹部超声、经阴道超声、剪切波弹性成像及病理检查.病理检查结果显示,宫颈癌患者58例,宫颈上皮内瘤变(CIN)患者24例,其他宫颈良性病变患者16例.比较宫颈癌、CIN及其他宫颈良性病变患者弹性模量值的最大值及平均值.以病理检查结果为金标准,分析经腹部超声、经阴道超声、剪切波弹性成像单独及联合检查对宫颈癌的诊断价值.结果 宫颈癌患者弹性模量值的最大值及平均值均高于CIN及其他宫颈良性病变患者,差异均有统计学意义(P＜0.05).经腹部超声、经阴道超声、剪切波弹性成像联合检查诊断宫颈癌的灵敏度、特异度、准确度、阳性预测值、阴性预测值分别为94.83％、95.00％、94.90％、96.49％、92.68％,均高于三者单独检查.结论 经腹部超声、经阴道超声、剪切波弹性成像联合检查对宫颈癌具有较高的诊断效能.
Abstract
Objective To investigate the value of transabdominal ultrasound,transvaginal ultrasound combined with shear wave elastography in the diagnosis of cervical cancer.Method A total of 98 patients with cervical lesions were se-lected,all patients underwent transabdominal ultrasound,transvaginal ultrasound,shear wave elastography and pathologi-cal examination.Pathological examination results showed that there were 58 patients with cervical cancer,24 patients with cervical intraepithelial neoplasia(CIN),16 patients with other cervical benign lesions.The maximum and average values of elastic modulus in patients with cervical cancer,CIN and other cervical benign lesions were compared.Using the results of pathological examination as the gold standard,the diagnostic value of transabdominal ultrasound,transvagi-nal ultrasound,shear wave elastography single and combined examination in cervical cancer were analyzed.Result The maximum and average values of elastic modulus in cervical cancer patients were significantly higher than those in CIN patients and patients with other cervical benign lesions(P＜0.05).The sensitivity,specificity,accuracy,positive predictive value,and negative predictive value of transabdominal ultrasound,transvaginal ultrasound,shear wave elastography com-bined examination in diagnosing cervical cancer were 94.83％,95.00％,94.90％,96.49％,and 92.68％,respectively,high-er than those of single examination.Conclusion The combined examination of transabdominal ultrasound,transvaginal ultrasound and shear wave elastography has high diagnostic efficacy for cervical cancer.
基金项目
河南省医学科技攻关计划联合共建项目(LHGJ20210371)
维普
万方数据