Cargando…
Can the computed tomography texture analysis of colorectal liver metastases predict the response to first-line cytotoxic chemotherapy?
BACKGROUND: Artificial intelligence in radiology has the potential to assist with the diagnosis, prognostication and therapeutic response prediction of various cancers. A few studies have reported that texture analysis can be helpful in predicting the response to chemotherapy for colorectal liver me...
Autores principales: | Rabe, Etienne, Cioni, Dania, Baglietto, Laura, Fornili, Marco, Gabelloni, Michela, Neri, Emanuele |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790398/ https://www.ncbi.nlm.nih.gov/pubmed/35126852 http://dx.doi.org/10.4254/wjh.v14.i1.244 |
Ejemplares similares
-
A deep look into radiomics
por: Scapicchio, Camilla, et al.
Publicado: (2021) -
Are Semiquantitative Methods Superior to Deauville Scoring in the Monitoring Therapy Response for Pediatric Hodgkin Lymphoma?
por: Ibrahim, Firuz, et al.
Publicado: (2023) -
Chemotherapy-Induced Liver Injury in Patients with Colorectal Liver Metastases: Findings from MR Imaging
por: Donati, Francescamaria, et al.
Publicado: (2022) -
A New SteatoScore in the Evaluation of Non-Alcoholic Liver Disease in Oncologic Patients
por: Cioni, Dania, et al.
Publicado: (2022) -
Imaging biomarkers in upper gastrointestinal cancers
por: Gabelloni, Michela, et al.
Publicado: (2019)