To Help the Practitioner: Imaging of Ovarian Masses According to the O-RADS MRI Ovarian Malignancy Categorical Risk Scale

S. P. Aksenova, N. V. Nudnov, A. V. Slanskaya, V. A. Solodkiy
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Abstract

Objective: to study the informativity of the Ovarian-Adnexal Imaging-Reporting-Data System Magnetic Resonance Imaging (O-RADS MRI) in detection of ovarian cancer in the practice of a radiologist. Material and methods . The study included 271 women who underwent pelvic magnetic resonance imaging (MRI) in the period from August to November, 2021. Two radiologists with 6-year (Researcher 1) and 2-year (Researcher 2) experience retrospectively analyzed MR images, in which all ovarian masses were evaluated according to O-RADS MRI categorical risk scale from 0 to 5. The analysis of true positive, true negative, false positive and false negative rates according to MRI data compared to the reference data (histology or 1-year follow-up) was performed. Results. O-RADS MRI categorial risk scale had high diagnostic performance for the characterization of adnexal lesions (sensitivity 87.5% and 87.5%, specificity 97.84% and 96.75%, area under curve (AUC) 0.991 and 0.986 for Researchers 1 and 2, respectively), as well as good interreader agreement (Cohen’s kappa coefficient 0,83). Researchers’ mistakes were analyzed, as well as controversial issues of categorial affiliation of ovarian masses that caused false positive and false negative results. Visual aids for ovarian MRI in accordance with O-RADS MRI classification were made for quick orientation in the system to simplify creating the radiology report. Conclusion. O-RADS MRI categorial risk scale proved to be a reliable working tool for the communication between radiologist and gynecologist-oncologist. However, the question of categorial affiliation of a number of nosological names that are not reflected in O-RADS MRI and require further study continues to be debated.
帮助医生:根据O-RADS MRI卵巢恶性肿瘤分类风险量表进行卵巢肿块成像
目的:探讨卵巢-附件成像-报告-数据系统磁共振成像(O-RADS MRI)在临床诊断卵巢癌中的应用价值。材料和方法。该研究包括271名在2021年8月至11月期间接受盆腔磁共振成像(MRI)检查的女性。两位具有6年(研究员1)和2年(研究员2)经验的放射科医生回顾性分析了MRI图像,根据O-RADS MRI分类风险等级从0到5对所有卵巢肿块进行评估。比较MRI资料与参考资料(组织学或1年随访)的真阳性、真阴性、假阳性和假阴性率。结果。O-RADS MRI分类风险量表对附件病变特征具有较高的诊断性能(研究人员1和2的敏感性分别为87.5%和87.5%,特异性分别为97.84%和96.75%,曲线下面积(AUC)分别为0.991和0.986),并且具有良好的解读者一致性(Cohen’s kappa系数为0,83)。分析了研究者的错误,以及引起假阳性和假阴性结果的卵巢肿块分类归属的争议问题。根据O-RADS MRI分类制作卵巢MRI视觉辅助工具,以便在系统中快速定位,简化放射学报告的创建。结论。O-RADS MRI分类风险量表被证明是一个可靠的工作工具,用于放射科医生和妇科肿瘤科医生之间的沟通。然而,一些在O-RADS MRI中没有反映的病种名称的分类归属问题仍在争论中,需要进一步研究。
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