Mammography-based nomogram predicts breast microcalcifications

A mammography-based radiomic nomogram could be useful in predicting risk of malignancy in suspicious breast microcalcifications, according to research published November 7 in Academic Radiology. A team led by Yusi Chen from the Second Affiliated Hospital of Harbin Medical University in China found that the nomogram, which combined radiomic scoring with clinical factors, achieved a high area under the curve (AUC) value in a validation set of patients with breast microcalcifications. “The combined model could be considered as a potential imaging marker to predict malignant risk,” Chen and colleagues wrote. Differentiating between benign and malignant breast lesions is important for women to receive individualized treatment. Radiomics have been explored in breast imaging, with previous research highlighting the performance of MRI-based radiomics. Chen and colleagues sought to develop and validate a mammography-based radiomic nomogram for predicting the malignant risk of suspicious breast microcalcifications. It developed the model by uploading images and clinical data to a cloud-based platform (Radcloud, Huiying Medical Technology). The team used the platform to process image segmentation, extract radiomic features, and perform radiomics analysis. However, two radiologists with more than 20 years of experience manually delineated regions of interest on mammography images. In total, the training set consisted of 1,409 radiomic features from craniocaudal and mediolateral ...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Subspecialties Advanced Visualization Breast Imaging Source Type: news