Evidence map›Paper›PMID 30886067›Full record

ReviewThorax2019

Experimental and quantitative imaging techniques in interstitial lung disease.

Nicholas D Weatherley, James A Eaden, Neil J Stewart, Brian J Bartholmai, Andrew J Swift, Stephen Mark Bianchi, Jim M Wild

Open access · hybridAbstract readReview
In one paragraph

Review in Thorax, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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

32 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
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  3. Article
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  5. Imaging technologies in experimental pulmonary fibrosis research: essential tool for enhanced translational relevance.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
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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

7 authors at 3 institutions in 2 countries.

Nicholas D WeatherleyAcademic Unit of Academic Radiology, University of Sheffield, Sheffield, UK.ORCID 0000-0001-5589-2219
James A EadenAcademic Unit of Academic Radiology, University of Sheffield, Sheffield, UK.
Neil J StewartAcademic Unit of Academic Radiology, University of Sheffield, Sheffield, UK.
Brian J BartholmaiDepartment of Radiology, Mayo Clinic Minnesota, Rochester, Minnesota, USA.
Andrew J SwiftAcademic Unit of Academic Radiology, University of Sheffield, Sheffield, UK.
Stephen Mark BianchiDepartment of Respiratory Medicine, Sheffield Teaching Hospitals Foundation Trust, Sheffield, UK.
Jim M WildAcademic Unit of Academic Radiology, University of Sheffield, Sheffield, UK.
University of Sheffield · GBMayo Clinic · USSheffield Teaching Hospitals NHS Foundation Trust · GB

Funding

British Heart Foundation SP/14/6/31350Department of Health NIHR-RP-R3-12-027Medical Research Council MR/M008894/1Wellcome Trust 205188/Z/16/Z
6 · The paper itself

Abstract

Interstitial lung diseases (ILDs) are a heterogeneous group of conditions, with a wide and complex variety of imaging features. Difficulty in monitoring, treating and exploring novel therapies for these conditions is in part due to the lack of robust, readily available biomarkers. Radiological studies are vital in the assessment and follow-up of ILD, but currently CT analysis in clinical practice is qualitative and therefore somewhat subjective. In this article, we report on the role of novel and quantitative imaging techniques across a range of imaging modalities in ILD and consider how they may be applied in the assessment and understanding of ILD. We critically appraised evidence found from searches of Ovid online, PubMed and the TRIP database for novel and quantitative imaging studies in ILD. Recent studies have explored the capability of texture-based lung parenchymal analysis in accurately quantifying several ILD features. Newer techniques are helping to overcome the challenges inherent to such approaches, in particular distinguishing peripheral reticulation of lung parenchyma from pleura and accurately identifying the complex density patterns that accompany honeycombing. Robust and validated texture-based analysis may remove the subjectivity that is inherent to qualitative reporting and allow greater objective measurements of change over time. In addition to lung parenchymal feature quantification, pulmonary vessel volume analysis on CT has demonstrated prognostic value in two retrospective analyses and may be a sign of vascular changes in ILD which, to date, have been difficult to quantify in the absence of overt pulmonary hypertension. Novel applications of existing imaging techniques, such as hyperpolarised gas MRI and positron emission tomography (PET), show promise in combining structural and functional information. Although structural imaging of lung tissue is inherently challenging in terms of conventional proton MRI techniques, inroads are being made with ultrashort echo time, and dynamic contrast-enhanced MRI may be used for lung perfusion assessment. In addition, inhaled hyperpolarised

Indexed as

Contrast MediaDiagnosis, DifferentialHumansLung Diseases, InterstitialContrast Mediadrug induced lung diseaseidiopathic pulmonary fibrosisimaging/ct mri etcinterstitial fibrosis

Identifiers

PMID30886067
PMCPMC6585263
OpenAlexW2922500394

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.