Clinic-radiological features and radiomics signatures based on Gd-BOPTA-enhanced MRI for predicting advanced liver fibrosis.
Diagnosis
Fibrosis
Liver
Radiomics
Journal
European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774
Informations de publication
Date de publication:
Jan 2023
Jan 2023
Historique:
received:
08
01
2022
accepted:
29
06
2022
revised:
17
06
2022
pubmed:
20
7
2022
medline:
20
12
2022
entrez:
19
7
2022
Statut:
ppublish
Résumé
To develop and validate a combined model based on Gd-BOPTA-enhanced MRI to identify advanced liver fibrosis. A total of 102 patients with chronic HBV infection were divided into a training cohort (n = 80) and a time-independent testing cohort 1 (n = 22). In the training cohort, radiomics signatures were extracted from the hepatobiliary phase. Model 1 was constructed with clinic-radiological factors using multivariable logistic regression to predict advanced liver fibrosis, and model 2 incorporated radiomics signatures based on model 1. The diagnostic performances were compared with serum fibrosis tests and FibroScan tests using area under curve (AUC) in testing cohort 1. Another 45 patients with other causes were collected in testing cohort 2 for further validation. Model 1 showed age (OR = 1.079) and periportal space widening (OR = 7.838) were the independent factors for predicting advanced fibrosis. After integrating radiomics signatures, model 2 enabled more accurately than model 1 in training cohort (0.940 vs. 0.802, p = 0.003). In testing cohort 1, model 2 demonstrated a superior AUC compared with model 1 (0.900 vs. 0.813，p = 0.131), FibroScan test (0.900 vs. 0.733, p = 0.193), and serum fibrosis tests (APRI and Fib-4 was 0.667 and 0.791). In testing cohort 2, model 2 incorporating radiomics signatures showed satisfactory performance (0.874 vs. 0.757，p = 0.010) compared with model 1. Radiomics signatures derived from Gd-BOPTA-enhanced HBP images may offer complementary information to the clinic-radiological model for predicting advanced liver fibrosis. • Linear or reticular hyperintensity on T2WI, periportal space widening, and diffuse periportal enhancement on HBP can be useful for predicting advanced liver fibrosis. • Clinic-radiological features such as patient age and periportal space widening are the two independent factors predicting advanced fibrosis. • Radiomics signatures derived from Gd-BOPTA-enhanced HBP images offer complementary information to the clinic-radiological model for predicting advanced liver fibrosis.
Identifiants
pubmed: 35852575
doi: 10.1007/s00330-022-08992-0
pii: 10.1007/s00330-022-08992-0
doi:
Substances chimiques
gadobenic acid
15G12L5X8K
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
633-644Subventions
Organisme : Scientific Research Project from the Education Department of Fujian Province
ID : JAT200167
Informations de copyright
© 2022. The Author(s), under exclusive licence to European Society of Radiology.
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