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June 20, 2024Open Access

Predicting survival, neurotoxicity and response in B-Cell lymphoma patients treated with CAR-T therapy using an imaging features-based model

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Authors

BLBlanca Ferrer LoresAOAlfonso Ortiz-AlgarraAPAlfonso Picó-Peris

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Cite This Study

Lores et al. (2024) studied this question.

synapsesocial.com/papers/68e6404bb6db6435875d2006https://doi.org/10.21203/rs.3.rs-4604801/v1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Predicting survival outcomes in CAR-t treated B-cell lymphoma by combining PET/CT imagingand clinical features2025
  2. 2Machine learning–driven prognostication of overall survival at 6 months after CAR-T cell therapy2025
  3. 3Metabolomics profiling and machine learning prediction of efficacy and prolonged cytopenia in patients with large B-cell lymphoma undergoing CAR-T therapy2025
  4. 4Deep learning-based image analysis of pretreatment FDG-PET/CT predicts CAR-T cell treatment outcome at month-12 for patients with Relapsed/Refractory large B-cell lymphomas2025 · 1 citations
  5. 5Semantic features associated with outcome in patients treated with CAR-T therapy2025