The Role of MR Mammography in Differentiating Benign from Malignant in Suspicious Breast Masses

Imaging Features Derived From Dynamic Contrast-Enhanced Magnetic Resonance Imaging to Differentiate Malignant From Benign Breast Lesions: A Systematic Review and Meta-Analysis

“…Upon primary screening of the titles and abstracts, 3544 articles were excluded, and 62 articles that did not meet the inclusion criteria were excluded after full text review. Ultimately, a total of 29 studies 9–37 that evaluated the accuracy of DCE-MRI features in differentiating malignant from benign breast lesions were included in this meta-analysis, and the detailed flowchart of the literature search and study selection is presented in Figure 1.…”

“…To date and to the best of our knowledge, multiple meta-analyses have been performed to investigate the value of DCE-MRI and diffusion weighted imaging (DWI) in detecting breast lesions and evaluating the treatment response after neoadjuvant chemotherapy 6–8 . However, no well-designed meta-analysis analyzing the individual imaging features of DCE-MRI, such as lesion shape, margin, enhancement pattern, washout or plateau time intensity curve (TIC), in diagnosing and differentiating breast lesions has yet been published, leading to conflicting diagnostic reports of DCE-MRI features, mainly because different sensitivities and specificities associated with DCE-MRI features have been reported in numerous studies 9–37 …”

Development of an intelligent CAD system for mass detection in mammographic images

“…In many cases, the malignant masses have thorny shape. However, it can be considered that mammographic features are overlapped between benign and malignant masses [22, 23]. In this paper, eccentricity was the only geometric feature used for the classification stage.…”