Literature DB >> 31303380

Supersonic shear-wave elastography and APRI for the detection and staging of liver disease in pediatric cystic fibrosis.

Diego A Calvopina1, Charlton Noble2, Anna Weis3, Gunter F Hartel4, Louise E Ramm5, Fariha Balouch6, Manuel A Fernandez-Rojo7, Miranda A Coleman8, Peter J Lewindon9, Grant A Ramm10.   

Abstract

BACKGROUND: Current diagnostic methods for the diagnosis of Cystic fibrosis (CF)-associated liver disease (CFLD) are non-specific and assessment of disease progression is difficult prior to the advent of advanced disease with portal hypertension. This study investigated the potential of Supersonic shear-wave elastography (SSWE) to non-invasively detect CFLD and assess hepatic fibrosis severity in children with CF.
METHODS: 125 children were enrolled in this study including CFLD (n = 55), CF patients with no evidence of liver disease (CFnoLD = 41) and controls (n = 29). CFLD was diagnosed using clinical, biochemical and imaging best-practice guidelines. Advanced CFLD was established by the presence of portal hypertension and/or macronodular cirrhosis on ultrasound. Liver stiffness measurements (LSM) were acquired using SSWE and diagnostic performance for CFLD detection was evaluated alone or combined with aspartate aminotransferase-to-platelet ratio index (APRI).
RESULTS: LSM was significantly higher in CFLD (8.1 kPa, IQR = 6.7-11.9) versus CFnoLD (6.2 kPa, IQR = 5.6-7.0; P < 0.0001) and Controls (5.3 kPa, IQR = 4.9-5.8; P < 0.0001). LSM was also increased in CFnoLD versus Controls (P = 0.0192). Receiver Operating Characteristic (ROC) curve analysis demonstrated good diagnostic accuracy for LSM in detecting CFLD using a cut-off = 6.85 kPa with an AUC = 0.79 (Sensitivity = 75%, Specificity = 71%, P < 0.0001). APRI also discriminated CFLD (AUC = 0.74, P = 0.004). Classification and regression tree modelling combining LSM + APRI showed 14.8 times greater odds of accurately predicting CFLD (AUC = 0.84). The diagnostic accuracy of SSWE for discriminating advanced disease was excellent with a cut-off = 9.05 kPa (AUC = 0.95; P < 0.0001).
CONCLUSIONS: SSWE-determined LSM shows good diagnostic accuracy in detecting CFLD in children, which was improved when combined with APRI. SSWE alone discriminates advanced CFLD.
Copyright © 2019 European Cystic Fibrosis Society. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cirrhosis; Hepatic fibrosis; Non-invasive assessment of liver disease; children's cholestatic liver disease

Year:  2019        PMID: 31303380     DOI: 10.1016/j.jcf.2019.06.017

Source DB:  PubMed          Journal:  J Cyst Fibros        ISSN: 1569-1993            Impact factor:   5.482


  5 in total

Review 1.  Conventional and artificial intelligence-based imaging for biomarker discovery in chronic liver disease.

Authors:  Jérémy Dana; Aïna Venkatasamy; Antonio Saviano; Joachim Lupberger; Yujin Hoshida; Valérie Vilgrain; Pierre Nahon; Caroline Reinhold; Benoit Gallix; Thomas F Baumert
Journal:  Hepatol Int       Date:  2022-02-09       Impact factor: 9.029

2.  Cystic fibrosis and noninvasive liver fibrosis assessment methods in children.

Authors:  Raphael Enaud; Eric Frison; Sophie Missonnier; Aude Fischer; Victor de Ledinghen; Paul Perez; Stéphanie Bui; Michael Fayon; Jean-François Chateil; Thierry Lamireau
Journal:  Pediatr Res       Date:  2021-03-17       Impact factor: 3.953

3.  Non-invasive tools for detection of liver disease in children and adolescents with cystic fibrosis.

Authors:  Antonella Tosco; Angela Sepe; Alice Castaldo; Andrea Catzola; Chiara Cimbalo; Valentina Angelini; Gianfranco Vallone; Roberto Buzzetti; Valeria Raia; Maria Grazia Caprio
Journal:  Transl Pediatr       Date:  2021-11

4.  Assessment of Liver Fibrosis with the Use of Elastography in Paediatric Patients with Diagnosed Cystic Fibrosis.

Authors:  Sabina Wiecek; Piotr Fabrowicz; Halina Wos; Bożena Kordys-Darmolinska; Maciej Cebula; Katarzyna Gruszczynska; Urszula Grzybowska-Chlebowczyk
Journal:  Dis Markers       Date:  2022-03-19       Impact factor: 3.434

Review 5.  Understanding Cystic Fibrosis Comorbidities and Their Impact on Nutritional Management.

Authors:  Dhiren Patel; Albert Shan; Stacy Mathews; Meghana Sathe
Journal:  Nutrients       Date:  2022-02-28       Impact factor: 5.717

  5 in total

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