Differentiation of focal nodular hyperplasia and hepatocellular adenoma using qualitative and quantitative imaging features and classification and regression tree analysis.


Journal

Abdominal radiology (New York)
ISSN: 2366-0058
Titre abrégé: Abdom Radiol (NY)
Pays: United States
ID NLM: 101674571

Informations de publication

Date de publication:
03 2023
Historique:
received: 21 09 2022
accepted: 26 11 2022
revised: 25 11 2022
pubmed: 18 12 2022
medline: 25 2 2023
entrez: 17 12 2022
Statut: ppublish

Résumé

To assess qualitative and quantitative analysis of gadoxetate disodium-enhanced hepatobiliary phase MR imaging (MRI) and assess the performance of classification and regression tree analysis for the differentiation of focal nodular hyperplasia (FNH) and hepatocellular adenoma (HCA). This retrospective study was approved by our local ethics committee. One hundred seventy patients suspected of having FNH or HCA underwent gadoxetate disodium-enhanced MRI. The reference standard was either pathology or follow-up imaging. Two readers reviewed images to identify qualitative imaging features and measure signal intensity on unenhanced, dynamic, and hepatobiliary phase images. For quantitative analysis, contrast enhancement ratio (CER), lesion-to-liver contrast (LLC), signal intensity ratio (SIR), and relative signal enhancement ratio (RSER) were calculated. A classification and regression tree (CART) analysis was developed. Eighty-five patients met the inclusion criteria, with a total of 97 FNHs and 43 HCAs. For qualitative analysis, the T1 signal intensity on the hepatobiliary phase provided the highest overall classification performance (91.9% sensitivity, 90.1% specificity, and 90.9% accuracy). For quantitative analysis, RSER in the hepatobiliary phase with a threshold of 0.723 provided the highest classification performance (92.6% sensitivity and 89.4% specificity) to differentiate FNHs from HCAs. A CART model based on five qualitative imaging features provided an accuracy of 94.4% (95% confidence interval 90.0-98.9%). Gadoxetate disodium-enhanced hepatobiliary phase provides high diagnostic performance as demonstrated in quantitative and qualitative analysis in differentiation of FNH and HCA, supported by a CART decision model.

Identifiants

pubmed: 36528729
doi: 10.1007/s00261-022-03766-0
pii: 10.1007/s00261-022-03766-0
doi:

Substances chimiques

gadolinium ethoxybenzyl DTPA 0
Contrast Media 0
Gadolinium DTPA K2I13DR72L
Amines 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

874-885

Informations de copyright

© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Références

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Auteurs

Talal M Alamri (TM)

Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, H2X 0C1, Canada.
Department of Radiology, King Saud Medical City, Riyadh, Saudi Arabia.

Milena Cerny (M)

Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, H2X 0C1, Canada.
Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.

Mohammad Al Shaikh (M)

Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, H2X 0C1, Canada.
Department of Radiology, King Fahad Medical City, Riyadh, Saudi Arabia.

Jean-Sébastien Billiard (JS)

Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, H2X 0C1, Canada.

Damien Olivié (D)

Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, H2X 0C1, Canada.

Miguel Chagnon (M)

Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada.

An Tang (A)

Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, H2X 0C1, Canada. an.tang@umontreal.ca.
Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada. an.tang@umontreal.ca.

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