دورية أكاديمية
Whole-body low-dose computed tomography in patients with newly diagnosed multiple myeloma predicts cytogenetic risk: a deep learning radiogenomics study.
| العنوان: | Whole-body low-dose computed tomography in patients with newly diagnosed multiple myeloma predicts cytogenetic risk: a deep learning radiogenomics study. |
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| المؤلفون: | Faghani, Shahriar, Moassefi, Mana, Yadav, Udit, Buadi, Francis K, Kumar, Shaji K, Erickson, Bradley J, Gonsalves, Wilson I, Baffour, Francis I |
| المصدر: | Skeletal Radiol ; ISSN:1432-2161 |
| بيانات النشر: | Springer |
| سنة النشر: | 2024 |
| المجموعة: | PubMed Central (PMC) |
| مصطلحات موضوعية: | CT skeletal survey, Cytogenetic risk, Multiple myeloma |
| الوصف: | To develop a whole-body low-dose CT (WBLDCT) deep learning model and determine its accuracy in predicting the presence of cytogenetic abnormalities in multiple myeloma (MM). |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | https://doi.org/10.1007/s00256-024-04733-0Test; https://pubmed.ncbi.nlm.nih.gov/38937291Test |
| DOI: | 10.1007/s00256-024-04733-0 |
| الإتاحة: | https://doi.org/10.1007/s00256-024-04733-0Test https://pubmed.ncbi.nlm.nih.gov/38937291Test |
| حقوق: | © 2024. The Author(s), under exclusive licence to International Skeletal Society (ISS). |
| رقم الانضمام: | edsbas.A4486890 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1007/s00256-024-04733-0 |
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