The Adjacent Vessel Sign on Breast MRI: New Data and a Subgroup Analysis for 1,084 Histologically Verified Cases
Matthias Dietzel(Friedrich-Alexander-Universität Erlangen-Nürnberg), Werner A. Kaiser(Friedrich Schiller University Jena), Mieczysław Gajda(Friedrich Schiller University Jena), Tibor Vág(Friedrich Schiller University Jena), Pascal Baltzer(Medical University of Vienna), Oumar Camara(Friedrich Schiller University Jena), Aimée Herzog(Friedrich Schiller University Jena)
Cited by 49
Related Papers
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
|Insights into Imaging|2024|286
Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients
|Investigative Radiology|2018|278
Second International Consensus Conference on lesions of uncertain malignant potential in the breast (B3 lesions)
|Breast Cancer Research and Treatment|2018|251
False-Positive Findings at Contrast-Enhanced Breast MRI: A BI-RADS Descriptor Study
|American Journal of Roentgenology|2010|197
Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter
|Investigative Radiology|2018|161