Imaging of Multiple Myeloma: Present and Future
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2024/01/02
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Journal
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Indian UGC (journal)
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Refrences110
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Víctor Rodríguez-Laval Department of Radiology, University Hospital La Princesa, IIS-Princesa, Calle Diego de León 62, 28005 Madrid, SpainDepartment of Medicine, Autonomous University of Madrid, Calle del Arzobispo Morcillo 4, 28029 Madrid, Spain ORCID (unauthenticated)
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Blanca Lumbreras-Fernández Department of Radiology, University Hospital La Princesa, IIS-Princesa, Calle Diego de León 62, 28005 Madrid, Spain
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Beatriz Aguado-Bueno Department of Hematology, University Hospital La Princesa, IIS-Princesa, Calle Diego de León 62, 28005 Madrid, Spain
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Nieves Gómez-León Department of Radiology, University Hospital La Princesa, IIS-Princesa, Calle Diego de León 62, 28005 Madrid, SpainDepartment of Medicine, Autonomous University of Madrid, Calle del Arzobispo Morcillo 4, 28029 Madrid, Spain
Abstract
Cite
Rodríguez-Laval, Víctor, et al. “Imaging of Multiple Myeloma: Present and Future”. Journal of Clinical Medicine, vol. 13, no. 1, 2024, p. 264, https://doi.org/10.3390/jcm13010264.
Rodríguez-Laval, V., Lumbreras-Fernández, B., Aguado-Bueno, B., & Gómez-León, N. (2024). Imaging of Multiple Myeloma: Present and Future. Journal of Clinical Medicine, 13(1), 264. https://doi.org/10.3390/jcm13010264
Rodríguez-Laval V, Lumbreras-Fernández B, Aguado-Bueno B, Gómez-León N. Imaging of Multiple Myeloma: Present and Future. Journal of Clinical Medicine. 2024;13(1):264.
Journal Categories
Medicine
Internal medicine
Medicine
Medicine (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Photon-counting Detector CT with Deep Learning Noise Reduction to Detect Multiple Myeloma | Radiology |
| 18 | 2023 |
Photon Counting Detector Computed Tomography: A New Frontier of Myeloma Bone Disease Evaluation | Acta Haematologica |
| 2 | 2023 |
| Diffusion-weighted imaging (DWI) in diagnosis, staging, and treatment response assessment of multiple myeloma: a systematic review and meta-analysis | Skeletal Radiology |
| 5 | 2023 |
| Diagnostic value of machine learning-based computed tomography texture analysis for differentiating multiple myeloma from osteolytic metastatic bone lesions in the peripheral skeleton | Skeletal Radiology |
| 2 | 2023 |
| Comparison of MRI Features of Fat Fraction and ADC for Early Treatment Response Assessment in Participants with Multiple Myeloma | Radiology |
| 17 | 2022 |
Refrences Analysis
The category
Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine 78
is the most frequently represented among the references in this article. It primarily includes studies from European Radiology The chart below illustrates the number of referenced publications per year.