Updates on Imaging of Liver Tumors.
Artificial intelligence
CT
Contrast-enhanced imaging
Diagnosis
Diffusion-weighted imaging
Dual-energy CT
Hepatocellular carcinoma
Image processing
Liver tumor
MR elastography
MRI
Perfusion CT
T1 mapping
Texture analysis
Journal
Current oncology reports
ISSN: 1534-6269
Titre abrégé: Curr Oncol Rep
Pays: United States
ID NLM: 100888967
Informations de publication
Date de publication:
16 04 2020
16 04 2020
Historique:
entrez:
17
4
2020
pubmed:
17
4
2020
medline:
19
8
2021
Statut:
epublish
Résumé
We review advances in imaging of liver tumors, by particularly focusing on the utility of novel imaging in diagnosis and management of these lesions. Contrast-enhanced CT and/or MRI are currently utilized for accurate diagnosis of liver tumors, but several ongoing studies are examining the use of other advanced techniques. Novel CT (i.e., dual-energy CT and perfusion CT), MRI (diffusion-weighted imaging, MR elastography, and T1 mapping), and image processing (texture analysis and artificial intelligence-based methods) techniques have emerged and can be used for precise characterization of liver tumors, quantification of treatment responses, and prediction of overall survival rate of patients. Recent advancements in imaging of liver tumors allowed for a precise assessment of tumor features. These evolving technologies can be utilized for applying individualized treatment based on the presence of specific imaging biomarkers.
Identifiants
pubmed: 32296952
doi: 10.1007/s11912-020-00907-w
pii: 10.1007/s11912-020-00907-w
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
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