接收机工作特性
医学
曼惠特尼U检验
逻辑回归
脑膜瘤
置信区间
磁共振成像
孕酮受体
直方图
比例危险模型
免疫组织化学
多元分析
核医学
放射科
内科学
癌症
人工智能
图像(数学)
计算机科学
雌激素受体
乳腺癌
作者
Zongye Li,Xiao Wang,Hongyan Zhang,Yijie Yang,Yue Zhang,Yuchuan Zhuang,Qinqin Yang,Eryuan Gao,Yiwei Ren,Yong Zhang,Shuhui Cai,Zhong Chen,Congbo Cai,Yanbo Dong,Jianfeng Bao,Jingliang Cheng
标识
DOI:10.1016/j.acra.2023.05.012
摘要
Rationale and Objectives This project aims to investigate the diagnostic performance of multiple overlapping-echo detachment imaging (MOLED) technique-derived transverse relaxation time (T2) maps in predicting progesterone receptor (PR) and S100 expression in meningiomas. Materials and Methods 63 meningioma patients were enrolled from October 2021 to August 2022, who underwent a complete routine magnetic resonance imaging and T2 MOLED, which can characterize the whole brain transverse relaxation time within 32 seconds in a single scan. After the surgical resection of meningiomas, the expression levels of PR and S100 were determined by an experienced pathologist using immunohistochemistry techniques. Histogram analysis was performed in tumor parenchyma based on the parametric maps. Independent t test and Mann-Whitney U test were applied for the comparison of histogram parameters between different groups, with a significance level of P < .05. Logistic regression and receiver operating characteristic (ROC) analysis with 95% confidence interval were conducted for the diagnostic efficiency evaluation. Results PR-positive group had significantly elevated T2 histogram parameters (P = .001-.049) compared to the PR-negative group. The multivariate logistic regression model with T2 showed the highest area under the ROC curve (AUC) for predicting PR expression (AUC = 0.818). Additionally, the multivariate model also had the best diagnostic performance for predicting meningioma S100 expression (AUC = 0.768). Conclusion The MOLED technique-derived T2 maps can distinguish PR and S100 status in meningiomas preoperatively.
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