Evidence map›Paper›PMID 41801367›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2026

Evaluating the prognostic impact of multiple

Anubhav Datta, William Spiller, Hitesh Mistry, Peter Julyan, James Pb O'Connor, Ahmed Salem, Corinne Faivre-Finn, Prakash Manoharan

Abstract readRandomized Controlled TrialMulticenter StudyClinical Trial, Phase III
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Five-Decade Journey of Small Cell Lung Cancer.Cancer communications (London, England) · 2026
    Review
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.

Anubhav Datta *Clinical Radiology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK.ORCID 0000-0002-5234-2315
William Spiller *Clinical Radiology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK.
Hitesh Mistry *Division of Cancer Sciences, University of Manchester, Manchester, UK.
Peter Julyan *Nuclear Medicine, The Christie, NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK.
James Pb O'ConnorClinical Radiology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK.
Ahmed SalemDivision of Cancer Sciences, University of Manchester, Manchester, UK.
Corinne Faivre-FinnDivision of Cancer Sciences, University of Manchester, Manchester, UK.
Prakash ManoharanClinical Radiology, The Christie NHS Foundation Trust, 550 Wilmslow Road, Manchester, M20 4BX, UK. prakash.manoharan1@nhs.net.ORCID 0000-0002-5155-2310

Funding

Canadian Cancer Society Research Institute Canadian Cancer Society Research InstituteCancer Research UK Cancer Research UKEuropean Organisation for Research and Treatment of Cancer European Organisation for Research and Treatment of Cancer
6 · The paper itself

Abstract

backgroundThe prognostic value of baseline 18F-FDG PET/CT-derived metrics in limited-stage small-cell lung cancer (LS-SCLC) remains uncertain. We evaluated whether baseline PET-derived parameters provide prognostic information beyond tumour volume and clinical factors in patients treated with curative-intent chemoradiotherapy within the phase III CONVERT trial.

methodsCONVERT was an international, multi-centre randomised controlled trial. This study is a post-hoc analysis of baseline 18F-FDG PET/CT from the multiple PET imaging parameter (MPI) cohort across 8 UK sites. PET metrics, including whole-body metabolic tumour volume (MTV), total lesion glycolysis (TLG), SUV-based measures, and radiomic features, were derived under EARL-accredited conditions. CT-derived gross tumour volume (GTV) and a pre-specified clinical prognostic model (CPM) were assessed alongside PET metrics. Overall survival (OS) and progression-free survival (PFS) were analysed using Cox regression. Incremental prognostic value beyond CPM was evaluated using Harrell’s concordance index (C-index). Correlations between imaging, clinical, and circulating tumour cell (CTC) variables were explored.

resultsNinety-four patients comprised the MPI cohort. In univariable analyses, CPM, CT-GTV, and PET-derived MTV and TLG, were associated with shorter OS and PFS. After multivariable adjustment, only CT-GTV remained independently prognostic for OS (HR 1.36, 95% CI 1.06–1.74) and PFS (HR 1.29, 95% CI 1.03–1.63). CPM demonstrated moderate prognostic discrimination (C-index 0.63 for OS; 0.59 for PFS). Addition of SUV-based PET metrics did not improve discrimination beyond CPM (ΔC-index ≤ 0.002). PET-derived volumetric parameters were strongly correlated with CT-GTV and CPM, indicating redundancy. Circulating tumour cell counts, available in a subset, showed no significant correlations.

conclusionsIn LS-SCLC treated with curative-intent chemoradiotherapy, baseline tumour volume is the dominant prognostic determinant. Baseline 18F-FDG PET-derived metabolic and radiomic parameters do not provide meaningful incremental prognostic value beyond tumour burden and clinical factors. While PET/CT remains essential for staging and treatment selection, its role in baseline prognostic stratification appears limited.

Indexed as

Fluorodeoxyglucose F18Lung NeoplasmsPositron Emission Tomography Computed TomographySmall Cell Lung CarcinomaAgedFemaleHumansMaleMiddle AgedPrognosisRadiomicsTumor BurdenFluorodeoxyglucose F18FDG-PET/CTLung cancerQuantitative imaging biomarkersRadiomics

Identifiers

PMID41801367
PMCPMC13249784

What OpenQuestion holds

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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.