首页|基于影像组学探讨超声检查对子宫肌瘤和子宫腺肌瘤的诊断价值

基于影像组学探讨超声检查对子宫肌瘤和子宫腺肌瘤的诊断价值

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目的 本研究旨在探讨超声影像组学在鉴别诊断子宫肌瘤和子宫腺肌瘤中的应用价值。方法 回顾性分析150 例于 2020 年 1 月至 2022 年 12 月在新郑市妇幼保健院经术后病理检查确诊为子宫肌瘤或子宫腺肌瘤的 150 例患者,并于治疗前行经阴道彩色多普勒超声检查。按照 7∶3 的比例随机分成训练集 105 例和验证集 45 例,在超声图像上对感兴趣区(ROI)进行高通量数据采集、特征提取及降维,包括灰度、纹理、形状、边缘等方面的数据。然后构建基于多因素logistic回归的预测模型,并用多个诊断效能参数评价模型的预测效果。最后对预测模型进行验证。结果 从1 317 个提取出的特征参数中,筛选出了 11 个与区分子宫肌瘤与子宫腺肌瘤相关的影像组学特征变量。在训练集中预测模型鉴别子宫肌瘤和子宫腺肌瘤的曲线下面积(AUC)为 0。950(95%CI:0。909~0。990),准确率 91。41%,敏感度为 77。44%,特异度为 97。21%,阳性预测值为 92。30%,阴性预测值为 71。22%,截取值为 0。669。验证集的AUC为0。854(95%CI:0。719~0。919),准确率为 80。00%,敏感度为 92。33%,特异度为 75。00%,阳性预测值为 60。00%,阴性预测值为 96。00%,截取值为 0。474。结论 本研究结果证实了基于超声影像组学鉴别子宫肌瘤和子宫腺肌瘤方面的可行性和有效性,为临床提供了一种简便、低成本、无创的筛查手段。
Exploring the Diagnostic Value of Ultrasound Examination for Uterine Leiomyoma and Adenomyosis Based on Radiomics
Objective This study aims to explore the application value of ultrasound radiomics in the differential diagnosis of uterine leiomyoma and adenomyosis.Methods A retrospective analysis of 150 cases diagnosed as uterine leiomyoma or adenomyosis by postoperative pathological examination in Xinzheng Maternal and Child Health Hospital from January 2020 to December 2022,and transvaginal color Doppler ultrasound examination was performed before treatment.According to the ratio of 7:3,it was randomly divided into a training set of 105 cases and a validation set of 45 cases.High-throughput data collection,feature extraction and dimension reduction were performed on the region of interest(ROI)on the ultrasound image,including data on gray scale,texture,shape,edge,etc.Then,a predictive model based on multifactor logistic regression was constructed,and multiple diagnostic efficiency parameters were used to evaluate the predictive effect of the model.Finally,the predictive model was validated.Results Among the 1,317 extracted feature parameters,11 radiomics feature variables related to the differentiation of uterine leiomyoma and adenomyosis were screened out.In the training set,the area under the curve(AUC)of the predictive model for distinguishing uterine leiomyoma and adenomyosis was 0.950(95%CI:0.909~0.990),with an accuracy of 91.41%,sensitivity of 77.44%,specificity of 97.21%,positive predictive value of 92.30%,negative predictive value of 71.22%,and cutoff value of 0.669.The AUC of the validation set was 0.854(95%CI:0.719~0.919),with an accuracy of 80.00%,sensitivity of 92.33%,specificity of 75.00%,positive predictive value of 60.00%,negative predictive value of 96.00%,and cutoff value of 0.474.Conclusion The results of this study confirm the feasibility and effectiveness of ultrasound radiomics in distinguishing uterine leiomyoma and adenomyosis,providing a simple,low-cost,and non-invasive screening method for clinical practice.

uterine leiomyomaadenomyosismagnetic resonance imagingradiomics

敬俊玲、刘桂锋

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新郑市妇幼保健院 超声科,河南 郑州 451100

新郑市妇幼保健院 妇产科,河南 郑州 451100

子宫肌瘤 子宫腺肌瘤 磁共振成像 影像组学

2024

临床研究
西安交通大学

临床研究

影响因子:0.234
ISSN:2096-1278
年,卷(期):2024.32(6)
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