论文部分内容阅读
目的应用彩色多普勒超声检查联合IOTA简易标准、Logistic回归模型(LR2)分析在术前卵巢交界性肿瘤的诊断价值。方法回顾性分析在我院因卵巢肿物住院手术并病理证实为卵巢交界性肿瘤患者142例,共160个肿瘤,所有患者均在术前一周内进行了彩色多普勒超声检查,由有经验医师对肿物声像图表现进行评定,再分别应用IOTA简易标准、LR2对病灶性质进行再次评定。结果 (1)160个肿瘤根据超声声像图诊断为良性肿瘤30个,交界性肿瘤89个,恶性肿瘤41个,超声诊断非良性病灶符合率约81.25%。(2)160个肿瘤应用IOTA简易标准诊断为良性肿瘤33个,恶性肿瘤58个,不确定类型69个,诊断非良性病灶符合率约79.38%。(3)160个肿瘤应用LR2标准诊断为良性肿瘤64个,非良性肿瘤96个,诊断非良性病灶符合率约60.00%。结论彩色多普勒超声检查对于非良性卵巢肿瘤的诊断符合率较高,但是对超声医师的经验有较高要求。IOTA简易标准、LR2对于非良性卵巢肿瘤有较高诊断符合率,可以作为年轻超声医师在预测卵巢良性与恶性肿瘤时的辅助手段。
Objective To evaluate the diagnostic value of color Doppler ultrasonography in combination with IOTA simple criteria and Logistic regression model (LR2) in preoperative ovarian borderline tumors. Methods Retrospective analysis of 142 cases of ovarian borderline tumors in our hospital due to ovarian tumor hospitalization and pathology, a total of 160 tumors, all patients were color Doppler ultrasound within a week before surgery, from experienced The physician assessed the appearance of mass sonography and then assessed the nature of the lesion again using the IOTA simple criteria, respectively. Results (1) According to the ultrasonography, 160 tumors were diagnosed as benign tumors, 89 borderline tumors, 41 malignant tumors and 81.25% non-benign lesions by ultrasound. (2) 160 tumors were diagnosed by IOTA simple criteria as 33 benign tumors, 58 malignant tumors and 69 indeterminate types. The coincidence rate of non-benign lesions was 79.38%. (3) Sixty-six of benign tumors and 96 non-benign tumors were diagnosed by LR2 standard in 160 tumors. The coincidence rate of non-benign lesions was about 60.00%. Conclusion Color Doppler ultrasonography for the diagnosis of benign ovarian tumors in line with the higher rate, but the experience of ultrasound physicians have higher requirements. IOTA simple criteria, LR2 for non-benign ovarian tumors have a high diagnostic coincidence rate, can be used as a young ultrasound physicians in the prediction of benign and malignant ovarian tumors when the auxiliary means.