Evidence map›Paper›PMID 39122855›Full record

ArticleEuropean radiology2025

Measuring repeatability of dynamic contrast-enhanced MRI biomarkers improves evaluation of biological response to radiotherapy in lung cancer.

Nivetha Sridharan, Ahmed Salem, Ross A Little, Maira Tariq, Susan Cheung, Michael J Dubec, Corinne Faivre-Finn, Geoffrey J M Parker, Nuria Porta, James P B O'Connor

Abstract read
In one paragraph

Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. MRI for Lung Cancer Management: Any Closer to Clinical Application?Journal of magnetic resonance imaging : JMRI · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
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

10 authors.

Nivetha SridharanClinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK. nivetha.sridharan@icr.ac.uk.ORCID http://orcid.org/0000-0003-0956-9976
Ahmed SalemDivision of Cancer Sciences, University of Manchester, Manchester, UK.
Ross A LittleDivision of Cancer Sciences, University of Manchester, Manchester, UK.
Maira TariqDivision of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
Susan CheungDivision of Cancer Sciences, University of Manchester, Manchester, UK.
Michael J DubecDivision of Cancer Sciences, University of Manchester, Manchester, UK.
Corinne Faivre-FinnDivision of Cancer Sciences, University of Manchester, Manchester, UK.
Geoffrey J M ParkerBioxydyn Ltd, Manchester, UK.
Nuria Porta *Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
James P B O'Connor *Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK. james.oconnor@icr.ac.uk.

Funding

Cancer Research UK C1491/A25351
6 · The paper itself

Abstract

objectivesTo measure dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) biomarker repeatability in patients with non-small cell lung cancer (NSCLC). To use these statistics to identify which individual target lesions show early biological response. MATERIALS AND

methodsA single-centre, prospective DCE-MRI study was performed between September 2015 and April 2017. Patients with NSCLC were scanned before standard-of-care radiotherapy to evaluate biomarker repeatability and two weeks into therapy to evaluate biological response. Volume transfer constant (K

resultsFourteen patients (mean age, 67 years +/- 12, 8 men) had 22 evaluable lesions (12 primary tumours, 8 nodal metastases, 2 distant metastases). The wCV (in 8/14 patients) was between 9.16% to 17.02% for all biomarkers except for v

conclusionIdentifying individual early biological responders provided additional information to that derived from conventional cohort cohort-level statistics, helping to prioritise which parameters would be best taken forward into future studies. CLINICAL RELEVANCE STATEMENT: Dynamic contrast-enhanced magnetic resonance imaging biomarkers K KEY POINTS: Few literature studies report quantitative imaging biomarker precision, by measuring repeatability or reproducibility. Several DCE-MRI biomarkers of lung cancer tumour microenvironment were highly repeatable. Repeatability coefficient measurements enabled lesion-specific evaluation of early biological response to therapy, improving conventional assessment.

Indexed as

Carcinoma, Non-Small-Cell LungContrast MediaLung NeoplasmsMagnetic Resonance ImagingAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedProspective StudiesReproducibility of ResultsTreatment OutcomeBiomarkers, TumorContrast MediaBiomarkersLung neoplasmsMagnetic resonance imagingStatistics

Identifiers

PMID39122855
PMCPMC11782379

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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.