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Received:April 05, 2020 Published Online:December 20, 2020
Received:April 05, 2020 Published Online:December 20, 2020
中文摘要: 目的 探讨超声造影定性及定量技术在鉴别肾脏良恶性肿瘤中的应用价值。方法 选择2017年1月至2019年3月经手术病理证实的肾脏实质性占位患者59例作为研究对象,术前均行超声造影检查,比较分析肾脏良恶性肿瘤超声造影定性及定量参数之间的差异。结果 47例为肾脏恶性肿瘤(42例透明细胞癌,3例嫌色细胞癌,2例乳头状细胞癌),12例为肾脏良性肿瘤,均为血管平滑肌脂肪瘤。定性指标方面:达峰不均匀增强在肾恶性肿瘤中明显高于肾良性肿瘤(44.68% vs 8.33%,P=0.022);定量指标方面:肾脏恶性肿瘤上升时间和达峰时间显著低于肾脏良性肿瘤,而肾脏恶性肿瘤的峰值强度明显高于肾良性肿瘤(P<0.05,P<0.01)。结论 超声造影定性及定量技术对于鉴别肾脏良恶性肿瘤有较高的临床应用价值。
Abstract:Objective To investigate and compare the diagnostic value of digital mammography (DM), digital breast tomosynthesis (DBT), ultrasound (US) and MRI in breast cancer. Methods A total of 123 patients (128 lesions) received breast surgery in the Affiliated Cancer Hospital of Nanjing Medical University from January to December 2018 were retrospectively analyzed.All patients were received with DM, DBT, US and MRI examination before the operation.The imaging features were analyzed and compared with the pathological results.The sensitivity, specificity and diagnostic accuracy of the four methods for breast cancer were compared, and kappa consistency test was performed for each method. Results The sensitivity, specificity and accuracy of DM, DBT, US and MRI in breast cancer were 63.12%, 59.6% and 61.72%, 88.15%, 75.0% and 82.81%, 86.84%, 76.9% and 82.81%, 93.4%, 80.8% and 88.3%, respectively.The sensitivity and accuracy of DBT, US and MRI in breast cancer were higher than those in DM (P<0.05).The specificity of MRI was higher than that of DM (P<0.05).There was no significant difference in sensitivity and accuracy of DBT, US and MRI in breast cancer (P>0.05).There was no significant difference in the specificity of DM, DBT and US in breast cancer (P>0.05).Kappa values of DM, DBT, US and MRI were 0.639, 0.694, 0.682 and 0.828, respectively.The sensitivity and accuracy of DM were 42.4% and 50.8%, respectively. Conclusion The diagnostic efficiency of DBT, US and MRI is higher than that of DM.DBT and MRI have higher advantages in the diagnosis of breast cancer.
文章编号: 中图分类号:R737.11,R445.1 文献标志码:B
基金项目:上海市宝山区科学技术委员会资助项目(18-E-22)
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