首页|能谱CT在卵巢肿瘤良恶性鉴别诊断中的应用观察及CT指标分析

能谱CT在卵巢肿瘤良恶性鉴别诊断中的应用观察及CT指标分析

Application observation and CT index analysis of energy spectral CT for the differential diagnosis of benign and malignant ovarian tumors

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目的:探析能谱计算机断层扫描(CT)检查在卵巢肿瘤良恶性鉴别诊断中的应用价值,并分析其CT指标.方法:选取2020年1月—2022年1月菏泽市立医院接收的卵巢肿瘤患者85例,所有患者均接受组织病理检查、能谱CT检查,并以组织病理检查结果作为金标准,分析能谱CT检查在卵巢肿瘤良恶性鉴别诊断中的应用价值.结果:以组织病理学检查结果作为金标准,85例卵巢肿瘤检出恶性肿瘤27例;良性病变患者58例;能谱CT在鉴别诊断卵巢癌患者良恶性准确率为91.76%,特异度为88.89%,特异度为93.10%,Kappa一致性分析能谱CT在鉴别诊断卵巢癌患者中具有良好的一致性(Kappa值=0.812);卵巢癌恶性患者能谱曲线斜率(K)、基物质碘(水)浓度值(IC)及标准碘浓度(NIC)值均低于良性患者(P<0.05).结论:能谱CT检查在卵巢肿瘤良恶性鉴别诊断中的价值良好,临床可基于CT指标进行鉴别诊断.
Objective To explore the application value of energy spectral computed tomography(CT)in the differential diagnosis of benign and malignant ovarian tumors,and analyze its CT indicators.Methods A total of 85 cases of ovarian tumors patients received in Heze Municipal Hospital from January 2020 to January 2022 were selected.All patients underwent histopathological examination and energy spectral CT.The application value of energy spectral CT in differential diagnosis of benign and malignant ovarian tumors was analyzed using the histopathological examination results as the gold standard.Results With histopathological examination results as the gold standard,malignant tumors were detected in 27 of 85 cases.58 patients with benign lesions;The accuracy,sensitivity and specificity of energy spectral CT in differential diagnosis of benign and malignant ovarian cancer patients were 91.76%,88.89%and 93.10%.Kappa analysis showed excellent consistency in differential diagnosis of ovarian cancer patients with energy spectral CT(Kappa=0.812).The slope of spectral curve(K)value,iodine concentration(IC)value and normalized iodine concentration(NIC)value of malignant ovarian cancer patients were lower than those of benign patients(P<0.05).Conclusion Energy spectral CT has good value for the differential diagnosis of benign and malignant ovarian tumors,and clinical differential diagnosis can be based on CT indicators.

Ovarian tumorEnergy spectral CTHistopathological examinationCT indicator

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菏泽市立医院CT室 山东 菏泽 274000

卵巢肿瘤 能谱CT 组织病理检查 CT指标

2024

影像研究与医学应用

影像研究与医学应用

ISSN:
年,卷(期):2024.8(7)
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