Imágenes de Resonancia Magnética con Contraste en el Cáncer de Mama
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866910290738675712 |
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| author | del Campo, Virginia Malaina, Iker |
| author_facet | del Campo, Virginia Malaina, Iker |
| contents | In this study, 529 variables extracted from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of 922 breast cancer patients have been evaluated, focusing on distinguishing between recurrent and non-recurrent cases, as well as those with and without metastasis. Special emphasis is placed on the differences among invasive breast cancer subtypes (Luminal A, Luminal B, HER2 positive, and TNBC). The accurate identification of the subtype is crucial as it impacts both treatment and prognosis. The analysis is based on the dataset from Saha et al., highlighting key factors for predicting recurrences and metastases, providing valuable information for proper monitoring and the selection of effective treatments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_04149 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Imágenes de Resonancia Magnética con Contraste en el Cáncer de Mama del Campo, Virginia Malaina, Iker Other Quantitative Biology Image and Video Processing Medical Physics In this study, 529 variables extracted from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of 922 breast cancer patients have been evaluated, focusing on distinguishing between recurrent and non-recurrent cases, as well as those with and without metastasis. Special emphasis is placed on the differences among invasive breast cancer subtypes (Luminal A, Luminal B, HER2 positive, and TNBC). The accurate identification of the subtype is crucial as it impacts both treatment and prognosis. The analysis is based on the dataset from Saha et al., highlighting key factors for predicting recurrences and metastases, providing valuable information for proper monitoring and the selection of effective treatments. |
| title | Imágenes de Resonancia Magnética con Contraste en el Cáncer de Mama |
| topic | Other Quantitative Biology Image and Video Processing Medical Physics |
| url | https://arxiv.org/abs/2401.04149 |