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

医学 磁共振成像 附件肿物 有效扩散系数 放射科 核医学 子宫附件疾病 腹腔镜检查
作者
Al Shaimaa Fathi Elshetry,Enas Mahmoud Hamed,Reem Abdel Fattah Frere,Nesma Adel Zaid
出处
期刊:Academic Radiology [Elsevier BV]
卷期号:30 (2): 300-311 被引量:12
标识
DOI:10.1016/j.acra.2022.07.019
摘要

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 × 10−3 mm2/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 × 10−3 mm2/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. 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. 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. 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 × 10−3 mm2/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 × 10−3 mm2/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). 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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
tao完成签到,获得积分10
1秒前
orixero应助科研通管家采纳,获得10
1秒前
天天快乐应助科研通管家采纳,获得10
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
李爱国应助科研通管家采纳,获得10
1秒前
CodeCraft应助科研通管家采纳,获得10
2秒前
2秒前
科目三应助科研通管家采纳,获得10
2秒前
Copyright应助科研通管家采纳,获得10
2秒前
2秒前
JamesPei应助科研通管家采纳,获得10
2秒前
Itzflames978应助科研通管家采纳,获得30
2秒前
我是老大应助科研通管家采纳,获得10
2秒前
迷路静丹完成签到,获得积分10
2秒前
2秒前
在水一方应助科研通管家采纳,获得10
2秒前
爆米花应助科研通管家采纳,获得10
2秒前
Avalonx应助科研通管家采纳,获得20
3秒前
wanci应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
3秒前
FashionBoy应助科研通管家采纳,获得10
3秒前
3秒前
3秒前
3秒前
李爱国应助科研通管家采纳,获得10
3秒前
领导范儿应助tao采纳,获得10
6秒前
8秒前
fanyy完成签到 ,获得积分10
8秒前
娜娜完成签到,获得积分10
9秒前
大模型应助矮小的猕猴桃采纳,获得10
10秒前
充电宝应助矮小的猕猴桃采纳,获得30
10秒前
Ava应助矮小的猕猴桃采纳,获得10
10秒前
JamesPei应助矮小的猕猴桃采纳,获得10
10秒前
英姑应助矮小的猕猴桃采纳,获得10
10秒前
田様应助矮小的猕猴桃采纳,获得10
10秒前
10秒前
爆米花应助矮小的猕猴桃采纳,获得10
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7171332
求助须知:如何正确求助?哪些是违规求助? 8812426
关于积分的说明 18618317
捐赠科研通 6786223
什么是DOI,文献DOI怎么找? 3167488
关于科研通互助平台的介绍 2309158
邀请新用户注册赠送积分活动 2142162