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| Item Type: | Review |
|---|---|
| Title: | Current applications and future development of magnetic resonance fingerprinting in diagnosis, characterization, and response monitoring in cancer |
| Creators Name: | Ding, H., Velasco, C., Ye, H., Lindner, T., Grech-Sollars, M., O’Callaghan, J., Hiley, C., Chouhan, M.D., Niendorf, T., Koh, D.M., Prieto, C. and Adeleke, S. |
| Abstract: | Magnetic resonance imaging (MRI) has enabled non-invasive cancer diagnosis, monitor-ing, and management in common clinical settings. However, inadequate quantitative analyses in MRI continue to limit its full potential and these often have an impact on clinicians’ judgments. Magnetic resonance fingerprinting (MRF) has recently been introduced to acquire multiple quantitative parameters simultaneously in a reasonable timeframe. Initial retrospective studies have demonstrated the feasibility of using MRF for various cancer characterizations. Further trials with larger cohorts are still needed to explore the repeatability and reproducibility of the data acquired by MRF. At the moment, technical difficulties such as undesirable processing time or lack of motion robustness are limiting further implementations of MRF in clinical oncology. This review summa-rises the latest findings and technology developments for the use of MRF in cancer management and suggests possible future implications of MRF in characterizing tumour heterogeneity and response assessment. |
| Keywords: | Magnetic Resonance Imaging, Multiparametric Magnetic Resonance Imaging, Prostatic Neoplasms, Brain Neoplasms, Abdominal Neoplasms, Radiotherapy, Image-Guided, Deep Learning |
| Source: | Cancers |
| ISSN: | 2072-6694 |
| Publisher: | MDPI |
| Volume: | 13 |
| Number: | 19 |
| Page Range: | 4742 |
| Date: | 1 October 2021 |
| Official Publication: | https://doi.org/10.3390/cancers13194742 |
| PubMed: | View item in PubMed |
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