Cargando…
Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models
Radiomics analyses commonly apply imaging features of different complexity for the prediction of the endpoint of interest. However, the prognostic value of each feature class is generally unclear. Furthermore, many radiomics models lack independent external validation that is decisive for their clin...
Autores principales: | Shahzadi, Iram, Zwanenburg, Alex, Lattermann, Annika, Linge, Annett, Baldus, Christian, Peeken, Jan C., Combs, Stephanie E., Diefenhardt, Markus, Rödel, Claus, Kirste, Simon, Grosu, Anca-Ligia, Baumann, Michael, Krause, Mechthild, Troost, Esther G. C., Löck, Steffen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205935/ https://www.ncbi.nlm.nih.gov/pubmed/35715462 http://dx.doi.org/10.1038/s41598-022-13967-8 |
Ejemplares similares
-
Comprehensive Analysis of Tumour Sub-Volumes for Radiomic Risk Modelling in Locally Advanced HNSCC
por: Leger, Stefan, et al.
Publicado: (2020) -
Longitudinal and Multimodal Radiomics Models for Head and Neck Cancer Outcome Prediction
por: Starke, Sebastian, et al.
Publicado: (2023) -
A comparative study of machine learning methods for time-to-event survival data for radiomics risk modelling
por: Leger, Stefan, et al.
Publicado: (2017) -
Assessing robustness of radiomic features by image perturbation
por: Zwanenburg, Alex, et al.
Publicado: (2019) -
Comparison of the composition of lymphocyte subpopulations in non-relapse and relapse patients with squamous cell carcinoma of the head and neck before, during radiochemotherapy and in the follow-up period: a multicenter prospective study of the German Cancer Consortium Radiation Oncology Group (DKTK-ROG)
por: Niu, Minli, et al.
Publicado: (2021)