Cargando…
Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases
BACKGROUND: Radiomics is expected to improve the management of metastatic colorectal cancer (CRC). We aimed at evaluating the impact of liver lesion contouring as a source of variability on radiomic features (RFs). METHODS: After Ethics Committee approval, 70 liver metastases in 17 CRC patients were...
Autores principales: | Rizzetto, Francesco, Calderoni, Francesca, De Mattia, Cristina, Defeudis, Arianna, Giannini, Valentina, Mazzetti, Simone, Vassallo, Lorenzo, Ghezzi, Silvia, Sartore-Bianchi, Andrea, Marsoni, Silvia, Siena, Salvatore, Regge, Daniele, Torresin, Alberto, Vanzulli, Angelo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652946/ https://www.ncbi.nlm.nih.gov/pubmed/33169295 http://dx.doi.org/10.1186/s41747-020-00189-8 |
Ejemplares similares
-
Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver Metastases
por: Giannini, Valentina, et al.
Publicado: (2022) -
MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study
por: Defeudis, Arianna, et al.
Publicado: (2022) -
Virtual biopsy in abdominal pathology: where do we stand?
por: Defeudis, Arianna, et al.
Publicado: (2023) -
Computer-Aided Diagnosis Improves the Detection of Clinically Significant Prostate Cancer on Multiparametric-MRI: A Multi-Observer Performance Study Involving Inexperienced Readers
por: Giannini, Valentina, et al.
Publicado: (2021) -
Diagnostic Performance in Differentiating COVID-19 from Other Viral Pneumonias on CT Imaging: Multi-Reader Analysis Compared with an Artificial Intelligence-Based Model
por: Rizzetto, Francesco, et al.
Publicado: (2022)