Evidence map›Paper›PMID 40100283›Full record

GuidelineThe British journal of radiology2025

Mastering CT-based radiomic research in lung cancer: a practical guide from study design to critical appraisal.

Ashley Horne, Azadeh Abravan, Isabella Fornacon-Wood, James P B O'Connor, Gareth Price, Alan McWilliam, Corinne Faivre-Finn

Abstract readGuidelineReview
In one paragraph

Guideline in The British journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ashley HorneDivision of Cancer Sciences, The University of Manchester, Manchester, M13 9NT, United Kingdom.ORCID 0000-0003-2650-2335
Azadeh AbravanDivision of Cancer Sciences, The University of Manchester, Manchester, M13 9NT, United Kingdom.
Isabella Fornacon-WoodDivision of Cancer Sciences, The University of Manchester, Manchester, M13 9NT, United Kingdom.
James P B O'ConnorDivision of Cancer Sciences, The University of Manchester, Manchester, M13 9NT, United Kingdom.
Gareth PriceDivision of Cancer Sciences, The University of Manchester, Manchester, M13 9NT, United Kingdom.
Alan McWilliamDivision of Cancer Sciences, The University of Manchester, Manchester, M13 9NT, United Kingdom.ORCID 0000-0002-7344-2868
Corinne Faivre-FinnDivision of Cancer Sciences, The University of Manchester, Manchester, M13 9NT, United Kingdom.ORCID 0000-0001-5617-9781

Funding

Cancer Research UKCancer Research UK Manchester Centre C147/A25254Clinical Academic Training C19941/A28707CRUK Manchester Major CentreManchester Biomedical Research CentreNIHR
6 · The paper itself

Abstract

Radiomics is a health technology that has the potential to extract clinically meaningful biomarkers from standard of care imaging. Despite a wealth of exploratory analysis performed on scans acquired from patients with lung cancer and existing guidelines describing some of the key steps, no radiomic-based biomarker has been widely accepted. This is primarily due to limitations with methodology, data analysis, and interpretation of the available studies. There is currently a lack of guidance relating to the entire radiomic workflow from study design to critical appraisal. This guide, written with early career lung cancer researchers, describes a more complete radiomic workflow. Lung cancer image analysis is the focus due to some of the unique challenges encountered such as patient movement from breathing. The guide will focus on CT imaging as these are the most common scans performed on patients with lung cancer. The aim of this article is to support the production of high-quality research that has the potential to positively impact outcome of patients with lung cancer.

Indexed as

Lung NeoplasmsResearch DesignTomography, X-Ray ComputedHumansRadiomicsWorkflowearly-career researchersguidelung cancerradiomic

Identifiers

PMID40100283
PMCPMC12012345

What OpenQuestion holds

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LicenceCC BY
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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.