Evidence map›Paper›PMID 40306954›Full record

SynthesisEuropean respiratory review : an official journal of the European Respiratory Society2025

A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease.

Giles Dixon, Hannah Thould, Matthew Wells, Krasimira Tsaneva-Atanasova, Chris J Scotton, Michael A Gibbons, Shaney L Barratt, Jonathan C L Rodrigues

Abstract readSystematic Review
In one paragraph

Synthesis in European respiratory review : an official journal of the European Respiratory Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Giles DixonDepartment of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK gd426@exeter.ac.uk.ORCID https://orcid.org/0000-0001-9787-0739
Hannah ThouldSouth West Peninsula ILD Network, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK.
Matthew WellsBristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, UK.
Krasimira Tsaneva-AtanasovaDepartment of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0002-6294-7051
Chris J ScottonDepartment of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.ORCID https://orcid.org/0000-0002-9671-9057
Michael A GibbonsDepartment of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK.
Shaney L BarrattBristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, UK.ORCID https://orcid.org/0000-0003-3067-7349
Jonathan C L RodriguesRoyal United Hospitals Bath NHS Foundation Trust, Bath, UK.ORCID https://orcid.org/0000-0003-2744-3509

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundThe unpredictable trajectory and heterogeneity of interstitial lung disease (ILDs) make prognostication challenging. Current prognostic indices and outcome measures have several limitations. Quantitative computed tomography (qCT) provides automated numerical assessment of CT imaging and has shown promise when applied to the prognostication and disease monitoring of ILD. This systematic review aims to highlight the current evidence underpinning the prognostic value of qCT in predicting outcomes in ILD.

methodsA comprehensive search of four databases (Medline, EMCare, Embase and CINAHL (Cumulative Index to Nursing and Allied Health Literature)) was conducted for studies published up to and including 22 November 2024. A modified CHARMS (CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies) checklist was used for data extraction. The risk of bias was assessed using a Quality in Prognostic Studies template.

resultsThe search identified 1134 unique studies, of which 185 studies met inclusion and exclusion criteria. Commonly studied ILD subtypes included idiopathic pulmonary fibrosis (41%, n=75), mixed subtypes (26%, n=48) and systemic sclerosis ILD (16%, n=30). Numerous studies showed significant prognostic signals, even when adjusted for common covariates and/or significant correlation between serial qCT biomarkers and conventional outcome measures. Heterogenous and nonstandardised reporting methods meant that direct comparison or meta-analysis of studies was not possible. Studies were limited by the use of retrospective methodology without prospective validation and significant study attrition. DISCUSSION: qCT has shown efficacy in the prognostication and disease monitoring of a range of ILDs. Hurdles exist to widespread adoption including governance concerns, appropriate algorithm anchoring and standardisation of image acquisition. International collaboration is underway to address these hurdles, paving the way for regulatory approval and ultimately patient benefit.

Indexed as

LungLung Diseases, InterstitialTomography, X-Ray ComputedHumansPredictive Value of TestsPrognosis

Identifiers

PMID40306954
PMCPMC12041933

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.