UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Imaging features for the prediction of clinical endpoints in chronic liver disease: a scoping review protocol

Chouhan, Manil D; Taylor, Stuart Andrew; Bhagwanani, Anisha; Munday, Charlotte; Pinnock, Mark A; Parry, Tom; Hu, Yipeng; ... Mallett, Sue; + view all (2022) Imaging features for the prediction of clinical endpoints in chronic liver disease: a scoping review protocol. BMJ Open , 12 (5) 10.1136/bmjopen-2021-053204. Green open access

[thumbnail of Chouhan_Imaging features for the prediction of clinical endpoints in chronic liver disease_VoR.pdf]
Preview
Text
Chouhan_Imaging features for the prediction of clinical endpoints in chronic liver disease_VoR.pdf - Published Version

Download (963kB) | Preview

Abstract

INTRODUCTION: Chronic liver disease is a growing cause of morbidity and mortality in the UK. Acute presentation with advanced disease is common and prioritisation of resources to those at highest risk at earlier disease stages is essential to improving patient outcomes. Existing prognostic tools are of limited accuracy and to date no imaging-based tools are used in clinical practice, despite multiple anatomical imaging features that worsen with disease severity.In this paper, we outline our scoping review protocol that aims to provide an overview of existing prognostic factors and models that link anatomical imaging features with clinical endpoints in chronic liver disease. This will provide a summary of the number, type and methods used by existing imaging feature-based prognostic studies and indicate if there are sufficient studies to justify future systematic reviews. METHODS AND ANALYSIS: The protocol was developed in accordance with existing scoping review guidelines. Searches of MEDLINE and Embase will be conducted using titles, abstracts and Medical Subject Headings restricted to publications after 1980 to ensure imaging method relevance on OvidSP. Initial screening will be undertaken by two independent reviewers. Full-text data extraction will be undertaken by three pretrained reviewers who have participated in a group data extraction session to ensure reviewer consensus and reduce inter-rater variability. Where needed, data extraction queries will be resolved by reviewer team discussion. Reporting of results will be based on grouping of related factors and their cumulative frequencies. Prognostic anatomical imaging features and clinical endpoints will be reported using descriptive statistics to summarise the number of studies, study characteristics and the statistical methods used. ETHICS AND DISSEMINATION: Ethical approval is not required as this study is based on previously published work. Findings will be disseminated by peer-reviewed publication and/or conference presentations.

Type: Article
Title: Imaging features for the prediction of clinical endpoints in chronic liver disease: a scoping review protocol
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1136/bmjopen-2021-053204
Publisher version: https://doi.org/10.1136/bmjopen-2021-053204
Language: English
Additional information: © Author(s) (or their employer[s]) 2022. Re-use permitted under CC BY-NC. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license (http://creativecommons.org/licenses/by-nc/4.0/).
Keywords: computed tomography, diagnostic radiology, gastrointestinal imaging, hepatology, magnetic resonance imaging, ultrasound
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Experimental and Translational Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10148169
Downloads since deposit
31Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item