Mammography-based radiomic analysis for predicting benign BI-RADS category 4 calcifications

Publication date: Available online 20 October 2019Source: European Journal of RadiologyAuthor(s): Chuqian Lei, Wei Wei, Zhenyu Liu, Qianqian Xiong, Ciqiu Yang, Mei Yang, Liulu Zhang, Teng Zhu, Xiaosheng Zhuang, Chunling Liu, Zaiyi Liu, Jie Tian, Kun WangAbstractPurposeWe developed and validated a radiomic model based on mammography and assessed its value for predicting the pathological diagnosis of Breast Imaging Reporting and Data System (BI-RADS) category 4 calcifications.Materials and MethodsPatients with a total of 212 eligible calcifications were recruited (159 cases in the primary cohort and 53 cases in the validation cohort). In total, 8286 radiomics features were extracted from the craniocaudal (CC) and mediolateral oblique (MLO) images. Machine learning was used to select features and build a radiomics signature. The clinical risk factors were selected from the independent clinical factors through logistic regression analyses. The radiomic nomogram incorporated the radiomic signature and an independent clinical risk factor. The diagnostic performance of the radiomic model and the radiologists’ empirical prediction model was evaluated by the area under the receiver operating characteristic curve (AUC). The differences between the various AUCs were compared with DeLong’s test.ResultsSix radiomic features and the menopausal state were included in the radiomic nomogram, which discriminated benign calcifications from malignant calcifications with an AUC of 0.8...
Source: European Journal of Radiology - Category: Radiology Source Type: research

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Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
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Source: Clinical and Translational Oncology - Category: Cancer & Oncology Source Type: research
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Source: Clinical Genitourinary Cancer - Category: Cancer & Oncology Authors: Tags: Clin Transl Oncol Source Type: research
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Source: Harvard Health Blog - Category: Consumer Health News Authors: Tags: Health Source Type: blogs
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Source: Medicine - Category: Internal Medicine Tags: Research Article: Observational Study Source Type: research
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