Validation of a screening algorithm for hepatic fibrosis by Doppler ultrasound and elastography in a general population

Author:

Renard Anne-Sophie1,Paisant Anita12ORCID,Cartier Victoire1,Calès Paul23,Goyet-Prelipcean Mirela4,Geagea Edmond5,Tasu Jean-Pierre6,Silvain Christine7,Wagner Mathilde8,Cleach Aline Le9,Vilgrain Valérie1011,Castera Laurent12,Bricault Ivan131415,Decaens Thomas161718,Savoye-Collet Céline19,Montialoux Hélène20,Correas Jean-Michel21,Vallet-Pichard Anaïs2223,Boursier Jérôme23,Aubé Christophe12

Affiliation:

1. Department of Radiology, Angers University Hospital, Angers, France

2. HIFIH Laboratory, EA 3859, UNIV Angers, Angers, France

3. Department of Hepatology, Angers University Hospital, Angers, France

4. Department of Radiology, Cholet Hospital, Cholet, France

5. Department of Hepatology, Cholet Hospital, Cholet, France

6. Department of Radiology, CHU de Poitiers, Poitiers, France

7. Department of Hepatology, CHU de Poitiers, Poitiers, France

8. UPMC, Department of Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France

9. UPMC, Department of Hepatology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France

10. Department of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, France

11. University Paris Diderot. Sorbonne Paris Cité, INSERM U1149, CRI, Paris, France

12. Department of Hepatology, APHP, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, France

13. Department of Radiology and Medical Imaging, University Hospital, Grenoble, France

14. Laboratory of Techniques for Biomedical Engineering and Complexity Management, University Grenoble Alpes / National Center for Scientific Research, Grenoble, France

15. Clinical Investigation Center – Innovative Technology 1406, National Institute of Health and Medical Research / Research Department, University Hospital, Grenoble, France

16. Université Grenoble Alpes, Grenoble, France

17. Institute for Advanced Biosciences, Research Center UGA/Inserm U 1209/CNRS 5309, La Tronche, France

18. Department of Hepatology, Pôle Digidune, CHU Grenoble Alpes, La Tronche, France

19. Department of Radiology, Rouen University Hospital, Normandie Univ, UNIROUEN, Quantif-LITIS EA 4108, Rouen cedex, France

20. Department of Hepatology, Rouen University Hospital, Rouen cedex, France

21. Department of Adult Radiology, Hôpital Necker, Université Paris Descartes, Paris, France

22. Department of Hepatology, AP-HP, université Paris Descartes, Sorbonne Paris Cité, groupe hospitalier Cochin Port Royal, Paris, France

23. Institut Pasteur, U.1223, Inserm, Paris, France

Abstract

Background Early detection can prevent the initial stages of fibrosis from progressing to cirrhosis. Purpose To evaluate an algorithm combining three echographic indicators and elastographic measurements to screen for hepatic fibrosis in an unselected population. Material and Methods From May 2017 to June 2018, all patients with no history and no known chronic liver disease who were referred for an ultrasound (US) were prospectively included in eight hospitals. The indicators being sought were liver surface irregularity, demodulation of hepatic veins, and spleen length >110 mm. Patients presenting at least one of these underwent elastography measurements with virtual touch quantification (VTQ) or supersonic shear imaging (SSI). If elastography was positive, patients were referred to hepatologist for fibrosis evaluation. Reference standard was obtained by FibroMeterVCTE or biopsy. A FibroMeterVCTE result >0.384 indicated a “necessary referral” to a hepatologist. Results Of the 1501 patients included, 504 (33.6%) were positive for at least one US indicator. All of them underwent US elastography, with 85 being positive. Of the patients, 58 (3.6%) had a consultation with a liver specialist: 21 had positive FibroMeterVCTE and nine had an indication of biopsy for suspicion of fibrosis. This screening algorithm made it possible to diagnose 1.6% of patients in our population with unknown fibrosis. Of the patients, 50% referred to the liver specialist were “necessary referrals.” Conclusion Our study suggests that three simple US indicators with no systematic elastographic measurement could be applied in day-to-day practice to look for hepatic fibrosis in an unsuspected population allowing relevant referrals to a hepatologist.

Funder

SIAD

Publisher

SAGE Publications

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

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