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乳腺 X 线摄影检出 BI-RADS 4 类钙化的二探超声检查的效用:一项观察性研究。

Utility of Second-look Ultrasonography in Distinguishing BI-RADS 4 Calcifications Detected on Mammography: An observational study.

机构信息

Department of Ultrasonography, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian Province, China.

Department of Radiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian Province, China.

出版信息

Medicine (Baltimore). 2024 Jul 12;103(28):e38841. doi: 10.1097/MD.0000000000038841.

DOI:10.1097/MD.0000000000038841
PMID:38996136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11245213/
Abstract

This study aimed to assess the utility of second-look ultrasonography (US) in differentiating breast imaging reporting and data system (BI-RADS) 4 calcifications initially detected on mammography (MG). BI-RADS 4 calcifications have a wide range of positive predictive values. We hypothesized that second-look US would help distinguish BI-RADS 4 calcifications without clinical manifestations and other abnormalities on MG. This study included 1622 pure BI-RADS 4 calcifications in 1510 women (112 patients with bilateral calcifications). The cases were randomly divided into training (85%) and testing (15%) datasets. Two nomograms were developed to differentiate BI-RADS 4 calcifications in the training dataset: the MG-US nomogram, based on multifactorial logistic regression and incorporated clinical information, MG, and second-look US characteristics, and the MG nomogram, based on clinical information and mammographic characteristics. Calibration of the MG-US nomogram was performed using calibration curves. The discriminative ability and clinical utility of both nomograms were compared using the area under the receiver operating characteristic curve (AUC) and the decision analysis curve (DCA) in the test dataset. The clinical information and imaging characteristics were comparable between the training and test datasets. The bias-corrected calibration curves of the MG-US nomogram closely approximate the ideal line for both datasets. In the test dataset, the MG-US nomogram exhibited a higher AUC than the MG nomogram (0.899 vs 0.852, P = .01). DCA demonstrated the superiority of the MG-US nomogram over the MG nomogram. Second-look US features, including ultrasonic calcifications, lesions, and moderate or marked color flow, were valuable for distinguishing BI-RADS 4 calcifications without clinical manifestations and other abnormalities on MG.

摘要

本研究旨在评估在乳腺影像报告和数据系统(BI-RADS)4 钙化的初步检测中,二次超声(US)在鉴别乳腺 X 线摄影(MG)中无临床表现和其他异常的 BI-RADS 4 钙化方面的作用。BI-RADS 4 钙化的阳性预测值范围很广。我们假设二次 US 有助于区分 MG 中无临床表现和其他异常的 BI-RADS 4 钙化。本研究纳入了 1510 名女性(112 名双侧钙化患者)共 1622 例单纯 BI-RADS 4 钙化。将病例随机分为训练(85%)和测试(15%)数据集。在训练数据集中,基于多因素逻辑回归并结合临床信息、MG 和二次 US 特征,开发了两种鉴别 BI-RADS 4 钙化的列线图:MG-US 列线图和 MG 列线图。使用校准曲线对 MG-US 列线图进行校准。在测试数据集中,通过受试者工作特征曲线(AUC)和决策分析曲线(DCA)比较两种列线图的鉴别能力和临床实用性。训练和测试数据集的临床信息和影像学特征具有可比性。校正后的 MG-US 列线图校准曲线在两个数据集上均接近理想线。在测试数据集中,MG-US 列线图的 AUC 高于 MG 列线图(0.899 比 0.852,P = 0.01)。DCA 表明 MG-US 列线图优于 MG 列线图。二次 US 特征,包括超声钙化、病变和中度或明显的彩色血流,对于鉴别 MG 中无临床表现和其他异常的 BI-RADS 4 钙化具有重要价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/de9490fee566/medi-103-e38841-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/87f2a9dd5f11/medi-103-e38841-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/0ce3c316887c/medi-103-e38841-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/faf173da1351/medi-103-e38841-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/ef0f899ea18a/medi-103-e38841-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/640671beb2b3/medi-103-e38841-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/de9490fee566/medi-103-e38841-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/87f2a9dd5f11/medi-103-e38841-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/0ce3c316887c/medi-103-e38841-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/faf173da1351/medi-103-e38841-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/ef0f899ea18a/medi-103-e38841-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/640671beb2b3/medi-103-e38841-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf2/11245213/de9490fee566/medi-103-e38841-g006.jpg

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