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Table 1 Characteristic of studies

From: Image-based AI diagnostic performance for fatty liver: a systematic review and meta-analysis

Author

Year

study design

country

Single/Multi center

Inclusion criteria

Exclusion criteria

age

Source of data

Data range(time)

imaging technique

Reference

Algorithm

G.Li et al.

2008

Retrospective

China

Single

NR

NR

NR

WuHan municipal hospital

NR

Conventional ultrasound

US

SVM

M.Hájek et al.

2011

Retrospective

Czech Republic

Single

With transplanted

livers for 1–11 years who underwent regular clinical examination, including protocol liver biopsies.

NR

NR

NR

March 2009 to November 2009 and March 2010 to July 2010

MR spectrum

pathology

Linear regression

U.R.Acharya et al.

2012

Retrospective

Singapore

Single

NR

NR

NR

NR

NR

Conventional ultrasound

US

Decision Tree

F.U.A.A.Minhas et al.

2012

Retrospective

USA

Single

NR

NR

NR

Multan Institute of Nuclear Medicine and Radiotherapy (MINAR)

NR

Conventional ultrasound

US

SVM

R.Ribeiro et al.

2012

Retrospective

Portugal

Single

had known diagnosis based on

liver biopsy results

NR

NR

Hospital

de Santa Maria, Medical School of Lisbon, Portugal

NR

Conventional ultrasound

pathology

Bayes

R.T.Ribeiro et al.

2014

Retrospective

Portugal

Single

All patients were outpatients with known diagnosis, based on the clinical and US criteria.

NR

NR

The Gastroenterology Department of the Santa Maria Hospital, Lisbon

NR

Conventional ultrasound

US

Bayes

M.Owjimehr et al.

2015

Retrospective

Iran

NR

NR

NR

NR

NR

NR

Conventional ultrasound

US

SVM

L.Saba et al.

2016

Retrospective

Italy

Single

NR

NR

NR

NR

NR

Conventional ultrasound

US

BPNN

V.Kuppili et al.

2017

Retrospective

India

Single

The patient with normal body

mass index.

NR

NR

Instituto Superior Tecnico (IST),

University of Lisbon, Portugal

NR

Conventional ultrasound

pathology

ELM

M.Biswas et al.

2018

Retrospective

India

Single

NR

NR

NR

The Santa Maria Hospital (ethics approval granted), in Lisbon, Portugal

NR

Conventional ultrasound

pathology

CNN

V.Sharma et al.

2018

Retrospective

India

Single

age group of 25–60 years old

NR

NR

Delta Diagnostic Centre Patiala, India

NR

Conventional ultrasound

US

SVM

A.Han et al.

2020

Prospective

Poland

Single

Age of at least 18 years, willingness and ability to participate in.

Clinical, laboratory, or histologic evidence of a liver disease other than NAFLD; excessive alcohol consumption (0.30 g per day within the past 10 years or 0.10 g per day in the previous year); and steatogenic or hepatoxic medication use.

NAFLD 52 ± 14;

control 46 ± 21

The University of

California, San Diego, NAFLD Research Center

Between February 2012 and March 2014

Conventional ultrasound

MRI

CNN

E.C.Constantinescu et al.

2021

Retrospective

Romania

Single

Age ranging from 18 to 92 from the outpatient clinic of a private healthcare network.

Excessive alcohol consumption or

> 20 g ethanol per day, history or clinical and/or laboratory evidence of liver disease, hepatotoxic medication use.

NR

The University of Medicine and Pharmacy, Research Center of Gastroenterology and Hepatology, Craiova from the outpatient clinic of a private healthcare network.

NR

B-mode ultrasound and ARFI elastography

US

Inception v3

M.Byra et al.

2022

Prospective

USA

Single

Age ≥ 18 years old, known or suspected NAFLD, and willingness and ability to participate.

Clinical, laboratory, or

histology evidence of a liver disease other than NAFLD, excessive alcohol consumption (≥ 14 (men)

or ≥ 7(women)drinks/week), and steatogenic or hepatoxic medication use.

NR

The University of California, San Diego (UCSD)

Between 2016 and 2018

Conventional ultrasound

MRI

ResNet50 CNN;LR

F.Destrempes et al.

2022

Retrospective

Canada

Single

A liver biopsy was scheduled as part of their clinical standard of care.

(a) images were not acquired with the probe assigned to the study protocol; (b) the underlying pathology did not meet eligibility criteria due to ethanol consumption, drug-induced hepatitis, sarcoidosis, cholestasis, or no biopsy was performed.

 

Centre hospitalier de l’Universite´ de Montreál and McGill University Health Centre

Between October 2014 and September 2018

Quantitative ultrasound(QUS) and Point shear wave elastography (pSWE)

pathology

Random forest

  1. Abbreviations: NR: not report; USA: United States of America; US: ultrasound; MRI: magnetic resonance imaging; BPNN: Back Propagation Neural Networks; CNN: Convolutional Neural Network; SVM: Support Vector Machine; ELM: extreme learning machine; ARFI: acoustic radiation force impulse