Cargando…
Changes of lung tumour volume on CT - prediction of the reliability of assessments
BACKGROUND: For oncological evaluations, quantitative radiology gives clinicians significant insight into patients’ response to therapy. In regard to the Response Evaluation Criteria in Solid Tumours (RECIST), the classification of disease evolution partly consists in applying thresholds to the meas...
Autores principales: | Beaumont, Hubert, Souchet, Simon, Labatte, Jean Marc, Iannessi, Antoine, Tolcher, Anthony William |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4628325/ https://www.ncbi.nlm.nih.gov/pubmed/26521238 http://dx.doi.org/10.1186/s40644-015-0052-2 |
Ejemplares similares
-
Breaking down the RECIST 1.1 double read variability in lung trials: What do baseline assessments tell us?
por: Iannessi, Antoine, et al.
Publicado: (2023) -
How reliable are ADC measurements? A phantom and clinical study of cervical lymph nodes
por: Moreau, Bastien, et al.
Publicado: (2018) -
Can we predict discordant RECIST 1.1 evaluations in double read clinical trials?
por: Beaumont, Hubert, et al.
Publicado: (2023) -
Letter to the editor: “Not all biases are bad: equitable and inequitable biases in machine learning and radiology”
por: Iannessi, Antoine, et al.
Publicado: (2021) -
Blinded Independent Central Review (BICR) in New Therapeutic Lung Cancer Trials
por: Beaumont, Hubert, et al.
Publicado: (2021)