Histopathological algorithm and scoring system for evaluation of liver lesions in morbidly obese patients
Inserm · Délégation Paris 7 · +8 more institutions
Abstract
UNLABELLED: Nonalcoholic fatty liver disease (NAFLD) is highly prevalent and being overweight is a significant risk factor. The aim was to build an algorithm along with a scoring system for histopathologic classification of liver lesions that covers the entire spectrum of lesions in morbidly obese patients. A cohort of 679 obese patients undergoing liver biopsy at the time of bariatric surgery was studied. An algorithm for segregating lesions into normal liver, NAFLD, or nonalcoholic steatohepatitis (NASH) was built based on semiquantitative evaluation of steatosis, hepatocellular ballooning, and lobular inflammation. For each case, the SAF score was created including the semiquantitative scoring of steatosis…
Citation impact
- FWCI
- 14.83
- Percentile
- 100%
- References
- 32
Authors
8- PBPierre BédossaCorresponding
Inserm, Délégation Paris 7, Université Paris Cité, Hôpital Beaujon, Assistance Publique – Hôpitaux de Paris
- CPChristine Poitou
Inserm, Sorbonne Université, Centre de Recherche des Cordeliers, Assistance Publique – Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Fondation pour l’innovation en Cadiométabolisme et Nutrition
- NVNicolas Veyrie
Assistance Publique – Hôpitaux de Paris, Hôpital Ambroise-Paré
- JBJean‐Luc Bouillot
Assistance Publique – Hôpitaux de Paris, Hôpital Ambroise-Paré
- ABArnaud Basdevant
Inserm, Sorbonne Université, Centre de Recherche des Cordeliers, Assistance Publique – Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Fondation pour l’innovation en Cadiométabolisme et Nutrition
Topics & keywords
- Morbidly obese
- Medicine
- Internal medicine
- Pathology
- Gastroenterology
- Obesity
- Weight loss
- Reduced inequalities