Evaluating the prognostic impact of multiple 18FDG-PET imaging parameters in small-cell lung cancer: Insights from the long-term analysis of the CONVERT Trial

Background<br/><br/>The 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.<br/><br/>Methods<br/><br/>CONVERT 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.<br/><br/>Results<br/><br/>Ninety-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.<br/><br/>Conclusions<br/><br/>In 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.<br/>

Authors

Publication Details

Journal
Research Explorer (The University of Manchester)
Published
2026-02-17
Primary Topic
Lung Cancer Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the prognostic impact of multiple 18FDG-PET imaging parameters in small-cell lung cancer: Insights from the long-term analysis of the CONVERT Trial

P. J. Julyan, Anubhav Datta, John R. Pollard, William Spiller et al.
Research Explorer (The University of Manchester)
Lung Cancer Research Studies
article

Evaluating the prognostic impact of multiple 18FDG-PET imaging parameters in small-cell lung cancer: Insights from the long-term analysis of the CONVERT Trial

P. J. Julyan, Anubhav Datta, John R. Pollard, William Spiller, Ahmed; id_orcid 0000-0001-5148-7072 Salem, Hitesh; id_orcid 0000-0002-9683-1903 Mistry, Corinne; id_orcid 0000-0001-5617-9781 Faivre-Finn, Prakash Manoharan
article en

Abstract

Background<br/><br/>The 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.<br/><br/>Methods<br/><br/>CONVERT 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.<br/><br/>Results<br/><br/>Ninety-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.<br/><br/>Conclusions<br/><br/>In 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.<br/>

Research Explorer (The University of Manchester)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 47%
Lung Cancer Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.