Cargando…
Discovery of Pre-Treatment FDG PET/CT-Derived Radiomics-Based Models for Predicting Outcome in Diffuse Large B-Cell Lymphoma
SIMPLE SUMMARY: Diffuse large B-cell lymphoma (DLBCL) is the most common type of lymphoma. Even with the improvements in the treatment of DLBCL, around a quarter of patients will experience recurrence. The aim of this single centre retrospective study was to predict which patients would have recurre...
Autores principales: | Frood, Russell, Clark, Matthew, Burton, Cathy, Tsoumpas, Charalampos, Frangi, Alejandro F., Gleeson, Fergus, Patel, Chirag, Scarsbrook, Andrew F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997127/ https://www.ncbi.nlm.nih.gov/pubmed/35406482 http://dx.doi.org/10.3390/cancers14071711 |
Ejemplares similares
-
Utility of pre-treatment FDG PET/CT–derived machine learning models for outcome prediction in classical Hodgkin lymphoma
por: Frood, Russell, et al.
Publicado: (2022) -
Baseline PET/CT imaging parameters for prediction of treatment outcome in Hodgkin and diffuse large B cell lymphoma: a systematic review
por: Frood, R., et al.
Publicado: (2021) -
A methodological framework for AI-assisted diagnosis of active aortitis using radiomic analysis of FDG PET–CT images: Initial analysis
por: Duff, Lisa, et al.
Publicado: (2022) -
An Automated Method for Artifical Intelligence Assisted Diagnosis of Active Aortitis Using Radiomic Analysis of FDG PET-CT Images
por: Duff, Lisa M., et al.
Publicado: (2023) -
Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CT
por: Brown, P. J., et al.
Publicado: (2019)