Suppr超能文献

将平均表观扩散系数(ADCmean)测量值添加到O-RADS MRI评分中对附件病变进行特征描述的影响:一种O-RADS MRI/ADCmean联合方法。

Impact of Adding Mean Apparent Diffusion Coefficient (ADCmean) Measurements to O-RADS MRI Scoring For Adnexal Lesions Characterization: A Combined O-RADS MRI/ADCmean Approach.

作者信息

Elshetry Al Shaimaa Fathi, Hamed Enas Mahmoud, Frere Reem Abdel Fattah, Zaid Nesma Adel

机构信息

Radio-diagnosis department, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.

Radio-diagnosis department, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.

出版信息

Acad Radiol. 2023 Feb;30(2):300-311. doi: 10.1016/j.acra.2022.07.019. Epub 2022 Sep 29.

Abstract

RATIONALE AND OBJECTIVES

Evaluate the impact of adding mean apparent diffusion coefficient (ADCmean) measurements to the Ovarian-Adnexal Imaging Reporting and Data System MRI (O-RADS MRI) scoring for adnexal lesion characterization using a combined O-RADS MRI/ADCmean reading approach.

MATERIALS AND METHODS

This prospective study included 90 women who underwent pelvic MRI for adnexal lesions diagnosis and characterization. Two readers scored the adnexal lesions using the O-RADS MRI scoring independently and in consensus. A third reader calculated ADCmean measurements. The final diagnoses were determined by histo-pathology (n = 77) or follow-up imaging (n = 13). Areas under the curves (AUCs) and diagnostic performance metrics were calculated for the O-RADS MRI scoring, ADCmean, and combined O-RADS MRI/ADCmean thresholds. P-value <0.05 was significant.

RESULTS

116 adnexal lesions (71 benign, 45 malignant) were analyzed. The optimal thresholds to predict malignant adnexal lesions were O-RADS MRI score >3 and ADCmean value ≤1.08 × 10 mm/s (AUC 0.926 and 0.823; sensitivity 97.7% and 95.5%; specificity 87.3% and 68%; positive predictive value (PPV) 83% and 66.2%; positive likelihood ratio (PLR) 7.7 and 3.08, respectively). Compared to the O-RADS MRI scoring, a combined threshold of O-RADS MRI >3/ADCmean ≤1.08 × 10 mm/s, yielded a reduction of false positives, a significant increase in the specificity (97.1%, p = 0.005), PPV (95.4%, p = 0.002), and PLR (33.1, p <0.0001), and non-significant change in the AUC (0.953, p = 0.252), and sensitivity (93.3%, p = 0.467).

CONCLUSION

The diagnostic performance of O-RADS MRI scoring to characterize adnexal lesions could be improved by adding the ADCmean values through reducing false positives, increasing specificity, and maintaining good sensitivity.

摘要

原理与目的

使用联合的卵巢附件影像报告和数据系统磁共振成像(O-RADS MRI)/平均表观扩散系数(ADCmean)读数方法,评估在O-RADS MRI评分中加入ADCmean测量值对附件病变特征描述的影响。

材料与方法

这项前瞻性研究纳入了90名因附件病变诊断和特征描述而接受盆腔MRI检查的女性。两名阅片者分别独立且一致地使用O-RADS MRI评分对附件病变进行评分。第三名阅片者计算ADCmean测量值。最终诊断通过组织病理学(n = 77)或随访影像(n = 13)确定。计算O-RADS MRI评分、ADCmean以及联合的O-RADS MRI/ADCmean阈值的曲线下面积(AUC)和诊断性能指标。P值<0.05具有统计学意义。

结果

分析了116个附件病变(71个良性,45个恶性)。预测恶性附件病变的最佳阈值为O-RADS MRI评分>3且ADCmean值≤1.08×10⁻³mm²/s(AUC分别为0.926和0.823;敏感度分别为97.7%和95.5%;特异度分别为87.3%和68%;阳性预测值(PPV)分别为83%和66.2%;阳性似然比(PLR)分别为7.7和3.08)。与O-RADS MRI评分相比,O-RADS MRI>3/ADCmean≤1.08×10⁻³mm²/s的联合阈值减少了假阳性,特异度显著提高(97.1%,p = 0.005),PPV(95.4%,p = 0.002)和PLR(33.1,p <0.0001),AUC无显著变化(0.953,p = 0.252),敏感度无显著变化(93.3%,p = 0.467)。

结论

通过加入ADCmean值,减少假阳性,提高特异度并保持良好的敏感度,可改善O-RADS MRI评分对附件病变特征描述的诊断性能。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验