{"title":"基于胎盘 T2 加权磁共振成像的放射计量学-临床提名图,用于预测前置胎盘的产后出血。","authors":"Yanli Lu, Hongchang Yu, Hongkun Yin, Jun Yan, Jibin Zhang, Yongfei Yue","doi":"10.1177/02841851241275034","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Placenta previa is an obstetric complication related to severe maternal morbidity and mortality. Magnetic resonance imaging (MRI) can be used for the preoperative evaluation of postpartum hemorrhage.</p><p><strong>Purpose: </strong>To investigate the value of MRI-based radiomics analysis in predicting postpartum hemorrhage among pregnant women with placenta previa.</p><p><strong>Material and methods: </strong>Preoperative T2-weighted MRI and related clinical data of 371 patients were retrospectively collected, and these patients were randomly allocated into two subsets: the training dataset (n = 260) and the validation dataset (n = 111). The logistic regression (LR) classifier was used for the development of the radiomics model and the calculation of the radiomics score (Radscore).</p><p><strong>Results: </strong>A total of eight radiomics features and five clinical features were selected for model development. The area under the receiver operating characteristic curve (AUC) of the radiomics model in the training and validation datasets were 0.929 (95% confidence interval [CI] = 0.891-0.957) and 0.914 (95% CI = 0.846-0.959), respectively. Combined with clinical factors, nomograms demonstrated improved diagnostic efficacy, with an AUC of 0.968 (95% CI = 0.939-0.986) in the training dataset and 0.947 (95% CI = 0.888-0.981) in the validation dataset.</p><p><strong>Conclusion: </strong>The MRI-based model has certain value in predicting postpartum hemorrhage in pregnant women with placenta previa.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Placental T2-weighted MRI-based radiomics-clinical nomogram to predict postpartum hemorrhage of placenta previa.\",\"authors\":\"Yanli Lu, Hongchang Yu, Hongkun Yin, Jun Yan, Jibin Zhang, Yongfei Yue\",\"doi\":\"10.1177/02841851241275034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Placenta previa is an obstetric complication related to severe maternal morbidity and mortality. Magnetic resonance imaging (MRI) can be used for the preoperative evaluation of postpartum hemorrhage.</p><p><strong>Purpose: </strong>To investigate the value of MRI-based radiomics analysis in predicting postpartum hemorrhage among pregnant women with placenta previa.</p><p><strong>Material and methods: </strong>Preoperative T2-weighted MRI and related clinical data of 371 patients were retrospectively collected, and these patients were randomly allocated into two subsets: the training dataset (n = 260) and the validation dataset (n = 111). The logistic regression (LR) classifier was used for the development of the radiomics model and the calculation of the radiomics score (Radscore).</p><p><strong>Results: </strong>A total of eight radiomics features and five clinical features were selected for model development. The area under the receiver operating characteristic curve (AUC) of the radiomics model in the training and validation datasets were 0.929 (95% confidence interval [CI] = 0.891-0.957) and 0.914 (95% CI = 0.846-0.959), respectively. Combined with clinical factors, nomograms demonstrated improved diagnostic efficacy, with an AUC of 0.968 (95% CI = 0.939-0.986) in the training dataset and 0.947 (95% CI = 0.888-0.981) in the validation dataset.</p><p><strong>Conclusion: </strong>The MRI-based model has certain value in predicting postpartum hemorrhage in pregnant women with placenta previa.</p>\",\"PeriodicalId\":7143,\"journal\":{\"name\":\"Acta radiologica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta radiologica\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/02841851241275034\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/19 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta radiologica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/02841851241275034","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/19 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
摘要
背景:前置胎盘是一种产科并发症,与严重的孕产妇发病率和死亡率有关。磁共振成像(MRI)可用于产后出血的术前评估。目的:研究基于MRI的放射组学分析在预测前置胎盘孕妇产后出血方面的价值:回顾性收集371例患者的术前T2加权磁共振成像和相关临床数据,并将这些患者随机分配为两个子集:训练数据集(n = 260)和验证数据集(n = 111)。采用逻辑回归(LR)分类器建立放射组学模型并计算放射组学评分(Radscore):结果:共选取了8个放射组学特征和5个临床特征来建立模型。在训练数据集和验证数据集中,放射组学模型的接收者操作特征曲线下面积(AUC)分别为0.929(95%置信区间[CI] = 0.891-0.957)和0.914(95% CI = 0.846-0.959)。结合临床因素后,提名图的诊断效果有所提高,训练数据集的AUC为0.968(95% CI = 0.939-0.986),验证数据集的AUC为0.947(95% CI = 0.888-0.981):结论:基于磁共振成像的模型在预测前置胎盘孕妇产后出血方面具有一定价值。
Placental T2-weighted MRI-based radiomics-clinical nomogram to predict postpartum hemorrhage of placenta previa.
Background: Placenta previa is an obstetric complication related to severe maternal morbidity and mortality. Magnetic resonance imaging (MRI) can be used for the preoperative evaluation of postpartum hemorrhage.
Purpose: To investigate the value of MRI-based radiomics analysis in predicting postpartum hemorrhage among pregnant women with placenta previa.
Material and methods: Preoperative T2-weighted MRI and related clinical data of 371 patients were retrospectively collected, and these patients were randomly allocated into two subsets: the training dataset (n = 260) and the validation dataset (n = 111). The logistic regression (LR) classifier was used for the development of the radiomics model and the calculation of the radiomics score (Radscore).
Results: A total of eight radiomics features and five clinical features were selected for model development. The area under the receiver operating characteristic curve (AUC) of the radiomics model in the training and validation datasets were 0.929 (95% confidence interval [CI] = 0.891-0.957) and 0.914 (95% CI = 0.846-0.959), respectively. Combined with clinical factors, nomograms demonstrated improved diagnostic efficacy, with an AUC of 0.968 (95% CI = 0.939-0.986) in the training dataset and 0.947 (95% CI = 0.888-0.981) in the validation dataset.
Conclusion: The MRI-based model has certain value in predicting postpartum hemorrhage in pregnant women with placenta previa.
期刊介绍:
Acta Radiologica publishes articles on all aspects of radiology, from clinical radiology to experimental work. It is known for articles based on experimental work and contrast media research, giving priority to scientific original papers. The distinguished international editorial board also invite review articles, short communications and technical and instrumental notes.