中山大学附属第一医院医学影像科,广东 广州 510080
伏文皓,学士,研究方向:生殖泌尿系统影像,E-mail:fuwh6@mail.sysu.edu.cn
纸质出版日期:2023-01-20,
收稿日期:2022-10-12,
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伏文皓,胡笑笑,孙梦雅等.磁共振成像卵巢-附件影像报告和数据系统鉴别良恶性病变应用价值[J].中山大学学报(医学科学版),2023,44(01):99-105.
FU Wen-hao,HU Xiao-xiao,SUN Meng-ya,et al.Value of MRI Ovarian-Adnexal Reporting and Data System in Differentiating Benign and Malignant Ovarian-Adnexal Lesions[J].Journal of Sun Yat-sen University(Medical Sciences),2023,44(01):99-105.
伏文皓,胡笑笑,孙梦雅等.磁共振成像卵巢-附件影像报告和数据系统鉴别良恶性病变应用价值[J].中山大学学报(医学科学版),2023,44(01):99-105. DOI: 10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).20221201.002.
FU Wen-hao,HU Xiao-xiao,SUN Meng-ya,et al.Value of MRI Ovarian-Adnexal Reporting and Data System in Differentiating Benign and Malignant Ovarian-Adnexal Lesions[J].Journal of Sun Yat-sen University(Medical Sciences),2023,44(01):99-105. DOI: 10.13471/j.cnki.j.sun.yat-sen.univ(med.sci).20221201.002.
目的
2
探讨磁共振成像卵巢-附件影像报告和数据系统(O-RADS MRI)在鉴别卵巢-附件良性和恶性病变上的应用价值。
方法
2
回顾性收集2020年1月至2022年2月中山大学附属第一医院经手术病理证实的146例卵巢-附件病变成年患者(共202个肿块),所有患者均按O-RADS MRI标准扫描方案行3.0 T MR盆腔检查。由两名放射科医生根据O-RADS MRI对卵巢-附件肿块进行1~5评分,运用Cohen’s kappa检验评估2名医生评分结果的一致性。以手术病理结果为金标准,计算O-RADS MRI各评分恶性肿块的检出率。以O-RADS MRI 3分为诊断界值,计算O-RADS MRI诊断恶性卵巢-附件肿块的敏感度、特异度、准确度和曲线下面积。
结果
2
202个卵巢-附件肿块中,恶性肿块62个(30.7%),良性肿块140个(69.3%)。采用O-RADS MRI评估时2名医生间的Cohen’s Kappa系数为 0.932。O-RADS MRI 1-5分卵巢-附件肿块恶性率分别为:0%,0%,7.7%,95%,97.6%。O-RADS MRI诊断恶性卵巢-附件肿块的敏感度、特异度、准确度、曲线下面积分别为96.8%(60/62)、98.6%(138/140)、98.0%(198/202)、0.977。
结论
2
O-RADS MRI对区分卵巢-附件良恶性肿块有极佳的诊断效能,且该标准化报告系统的广泛实施可改善放射科医生和临床医生之间的沟通,优化卵巢-附件肿块患者的管理,值得临床推广应用。
Objective
2
To explore the value of MRI ovarian-adnexal reporting and data system (O-RADS MRI) in differentiating benign and malignant ovarian-adnexal masses.
Methods
2
Totally 146 patients (202 masses) with ovarian-adnexal lesions who underwent pelvic examination at 3.0 T MRI according to standardized scan protocol of O-RADS MRI and were pathologically confirmed in The First Affiliated Hospital of Sun Yat-sen University between January 2020 and February 2022 were retrospectively analyzed. Two radiologists classified the ovarian-adnexal masses as risk levels 1~5 according to O-RADS MRI and evaluated their consistency by Cohen’s kappa. Using pathological findings as the gold standard, the detection yield of malignant lesions with O-RADS MRI classification was analyzed. Sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve were calculated (cutoff for malignancy, score ≥ 4).
Results
2
Of 202 masses, 62 (30.7%) were malignant, 140 (69.3%) were benign. The two radiologists presented good agreement in O-RADS MRI classification of ovarian adnexal masses (Kappa=0.932). The malignancy rates of masses with scores of 1, 2, 3, 4 and 5 were 0%, 0%, 7.7%, 95%, 97.6%, respectively. Sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve were 96.8% (60/62), 98.6% (138/140), 98.0% (198/202), 0.977.
Conclusions
2
O-RADS MRI yields high diagnostic efficiency for benign and malignant ovarian adnexal masses and its widespread implementation will improve communication between radiologists and clinicians, and facilitate optimal patient management. Therefore, O-RADS MRI warrants widespread use in clinical setting.
磁共振成像卵巢-附件影像报告和数据系统卵巢-附件肿块临床应用
magnetic resonance imagingovarian-adnexal reporting and data systemovarian-adnexal massesclinical practice
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