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Ultrasound-based steatosis grading system using 2D-attenuation imaging: An individual patient data meta-analysis with external validation.
Hobeika, Christian; Ronot, Maxime; Guiu, Boris; Ferraioli, Giovanna; Iijima, Hiroko; Tada, Toshifumi; Lee, Dong Ho; Kuroda, Hidekatsu; Lee, Young Hwan; Lee, Jeong Min; Kim, So Yeon; Cassinotto, Christophe; Maiocchi, Laura; Raimondi, Ambra; Nishimura, Takashi; Kumada, Takashi; Kwon, Eun Young; Jang, Jong Keon; Correas, Jean-Michel; Valla, Dominique; Vilgrain, Valérie; Dioguardi Burgio, Marco.
Afiliação
  • Hobeika C; Department of HPB Surgery and Liver Transplantation, AP-HP, Hôpital Beaujon, Clichy, France.
  • Ronot M; Université Paris Cité, Inserm, CArcinose Péritoine Paris-Technologies, Paris, France.
  • Guiu B; Ajmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
  • Ferraioli G; Department of Radiology, Hôpital Beaujon, AP-HP.Nord, Clichy, France.
  • Iijima H; Université Paris Cité, Inserm, Centre de recherche sur l'inflammation, Paris, France.
  • Tada T; Department of Radiology, St-Eloi University Hospital, Montpellier, France.
  • Lee DH; Dipartimento di Scienze Clinico-Chirurgiche, Diagnostiche e Pediatriche, University of Pavia, Pavia, Italy.
  • Kuroda H; Department of Internal Medicine, Division of Gastroenterology and Hepatology, Hyogo Medical University, Hyogo, Japan.
  • Lee YH; Department of Internal Medicine, Japanese Red Cross Society Himeji Hospital, Hyogo, Japan.
  • Lee JM; Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Kim SY; Department of Internal Medicine, Division of Gastroenterology and Hepatology, Iwate Medical University, Iwate, Japan.
  • Cassinotto C; Department of Radiology, Wonkwang University School of Medicine and Hospital, Iksan, Korea.
  • Maiocchi L; Department of Radiology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea.
  • Raimondi A; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Nishimura T; Department of Radiology, St-Eloi University Hospital, Montpellier, France.
  • Kumada T; Ultrasound Unit, Dipartimento Servizi Diagnostici e per Immagini Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
  • Kwon EY; Dipartimento di Scienze Clinico-Chirurgiche, Diagnostiche e Pediatriche, University of Pavia, Pavia, Italy.
  • Jang JK; Ultrasound Unit, Dipartimento Servizi Diagnostici e per Immagini Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
  • Correas JM; Department of Internal Medicine, Division of Gastroenterology and Hepatology, Hyogo Medical University, Hyogo, Japan.
  • Valla D; Department of Nursing, Gifu Kyoritsu University, Gifu, Japan.
  • Vilgrain V; Department of Radiology, Wonkwang University School of Medicine and Hospital, Iksan, Korea.
  • Dioguardi Burgio M; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hepatology ; 2024 Apr 23.
Article em En | MEDLINE | ID: mdl-38652643
ABSTRACT
BACKGROUND AND

AIMS:

Noninvasive tools assessing steatosis, such as ultrasonography-based 2D-attenuation imaging (ATI), are needed to tackle the worldwide burden of steatotic liver disease. This one-stage individual patient data (IPD) meta-analysis aimed to create an ATI-based steatosis grading system. APPROACH AND

RESULTS:

A systematic review (EMBASE + MEDLINE, 2018-2022) identified studies, including patients with histologically or magnetic resonance imaging proton-density fat fraction (MRI-PDFF)-verified ATI for grading steatosis (S0 to S3). One-stage IPD meta-analyses were conducted using generalized mixed models with a random study-specific intercept. Created ATI-based steatosis grading system (aS0 to aS3) was externally validated on a prospective cohort of patients with type 2 diabetes and metabolic dysfunction-associated steatotic liver disease (n=174, histologically and MRI-PDFF-verified steatosis). Eleven enrolled studies included 1374 patients, classified into S0, S1, S2, and S3 in 45.4%, 35.0%, 9.3%, and 10.3% of the cases. ATI was correlated with histological steatosis ( r = 0.60; 95% CI 0.52, 0.67; p < 0.001) and MRI-PDFF ( r = 0.70; 95% CI 0.66, 0.73; p < 0.001) but not with liver stiffness ( r = 0.03; 95% CI -0.04, 0.11, p = 0.343). Steatosis grade was an independent factor associated with ATI (coefficient 0.24; 95% CI [0.22, 0.26]; p < 0.001). ATI marginal means within S0, S1, S2, and S3 subpopulations were 0.59 (95% CI [0.58, 0.61]), 0.69 (95% CI [0.67, 0.71]), 0.78 (95% CI [0.76, 0.81]), and 0.85 (95% CI [0.83, 0.88]) dB/cm/MHz; all contrasts between grades were significant ( p < 0.0001). Three ATI thresholds were calibrated to create a new ATI-based steatosis grading system (aS0 to aS3, cutoffs 0.66, 0.73, and 0.81 dB/cm/MHz). Its external validation showed Obuchowski measures of 0.84 ± 0.02 and 0.82 ± 0.02 with histologically based and MRI-PDFF-based references.

CONCLUSIONS:

ATI is a reliable, noninvasive marker of steatosis. This validated ATI-based steatosis grading system could be valuable in assessing patients with metabolic dysfunction-associated steatotic liver disease.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article