
Breast MRI
State of the Art and Future Directions
Description
Key Features
- Spans the whole spectrum of breast MRI, including basic imaging techniques, indications, interpretation, and the latest cutting-edge techniques
- Reviews multiparametric MRI and abbreviated protocols, providing an outlook on the future of this technique
- Discusses the predictive and prognostic value of MRI as well as the evolving field of radiomics/genomics and AI
Readership
Table of Contents
Section 1. Performance and Interpretation of Breast MRI
1. Breast Magnetic Resonance Imaging Protocols
i.Abbreviated and Ultrafast MRI
ii.Multiparametric MRI in clinical practice
2. Artifacts
3. BI-RADS
4. The Kaiser score: an evidence-based clinical decision rule for dynamic contrast-enhanced breast MRI
5. Background parenchymal enhancementSection 2. MRI Characteristics of Common Breast Lesions
6. Benign
7. High-risk
8. DCIS
9. Invasive cancersSection 3. Clinical Indications for Breast MRI
10. Screening
11. Staging and treatment planning
12. Response assessment to neoadjuvant therapy
13. Follow-up: Posttreatment changes and Recurrent Breast Cancer
14. Breast Augmentation and Post-mastectomy Autologous Breast Reconstruction
15. Problem Solving
16. Cancer of Unknown Primary including Imaging of the AxillaSection 4: Breast Magnetic Resonance Imaging-guided Interventions and Therapy
17. Biopsy including MRI-directed US and rad-path correlation
18. Monitoring Therapy
Future DirectonsSection 5. Advanced and Emerging Approaches
19. Non-contrast MRI
20. Ultra-high field magnets
21. Pharmacokinetic modelling
22. Diffusion MRI of the breast: standard and advanced techniques
23. Proton Magnetic Resonance Spectroscopy
24. Emerging MRI Techniques: CEST, BOLD, Sodium, Phospohorus MRS, Lipid MRS, HP MRISection 6: Hybrid Imaging and Alternative Techniques
25. PET/MRI hybrid imaging and targeted tracers
26. Alternative techniques: CEM and MBISection 7: Prognostic and Predictive MR imaging biomarkers
27. MRI Radiomics and Radiogenomics for Breast Cancer
28. Artificial Intelligence and Deep Learning
Product details
- No. of pages: 618
- Language: English
- Copyright: © Academic Press 2022
- Published: September 1, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780128227299