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Diagnostics (Basel, Switzerland)|January 21, 2022
A Machine Learning Ensemble Based on Radiomics to Predict BI-RADS Category and Reduce the Biopsy Rate of Ultrasound-Detected Suspicious Breast MassesMatteo Interlenghi, Christian Salvatore, Veronica Magni, et al.Radiology|March 24, 2016
Quantitative Sodium MR Imaging at 7 T: Initial Results and Comparison with Diffusion-weighted Imaging in Patients with Breast TumorsOlgica Zaric, Katja Pinker, Stefan Zbyn, et al.Cancers|December 17, 2020
Pharmacokinetic Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging at 7T for Breast Cancer Diagnosis and CharacterizationR Elena Ochoa-Albiztegui, Varadan Sevilimedu, Joao V Horvat, et al.AJR. American Journal of Roentgenology|December 22, 2021
MRI Screening of BRCA Mutation Carriers: Comparison of Standard Protocol and Abbreviated Protocols With and Without T2-Weighted ImagesIsaac Daimiel Naranjo, Julie Sogani, Carolina Saccarelli, et al.European Radiology|April 25, 2016
Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessmentG J Wengert, T H Helbich, R Woitek, et al.Radiology. Imaging Cancer|November 3, 2023
Current Status of Cancer Genomics and Imaging Phenotypes: What Radiologists Need to KnowEva Mendes Serrão, Maximiliano Klug, Brian M Moloney, et al.Investigative Radiology|August 5, 2009
A combined high temporal and high spatial resolution 3 Tesla MR imaging protocol for the assessment of breast lesions: initial resultsKatja Pinker, Gunther Grabner, Wolfgang Bogner, et al.European Radiology|March 18, 2016
MR-guided vacuum-assisted breast biopsy of MRI-only lesions: a single center experienceClaudio Spick, Melanie Schernthaner, Katja Pinker, et al.Cancers|October 26, 2024
Development of an MRI Radiomic Machine-Learning Model to Predict Triple-Negative Breast Cancer Based on Fibroglandular Tissue of the Contralateral Unaffected Breast in Breast Cancer PatientsRoberto Lo Gullo, Rosa Elena Ochoa-Albiztegui, Jayasree Chakraborty, et al.Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|August 10, 2023
High-Temporal/High-Spatial Resolution Breast Magnetic Resonance Imaging Improves Diagnostic Accuracy Compared With Standard Breast Magnetic Resonance Imaging in Patients With High Background Parenchymal EnhancementSarah Eskreis-Winkler, Janice S Sung, Linden Dixon, et al.Pageof 31