Published in

American Society of Hematology, Blood, 2023

DOI: 10.1182/blood.2022018558

Links

Tools

Export citation

Search in Google Scholar

Baseline PET radiomics outperform the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma

Distributing this paper is prohibited by the publisher
Distributing this paper is prohibited by the publisher

Full text: Unavailable

Red circle
Preprint: archiving forbidden
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

The objective of this study was to externally validate the clinicalPET model developed in the HOVON-84 trial and to compare the model performance of our clinicalPET model to the international prognostic index (IPI). In total, 1195 Diffuse large B-cell lymphoma patients were included. 887 patients from 6 studies were used as external validation datasets. Primary outcomes were 2-year progression free survival (PFS) and 2-year time to progression (TTP). Metabolic tumor volume (MTV), the maximum distance between the largest lesion and another lesion (Dmaxbulk) and the peak standardized uptake value (SUVpeak) were extracted. The predictive value of the IPI and the HOVON-84 clinicalPET model (MTV, Dmaxbulk, SUVpeak, performance status and age) were tested. Model performance was assessed using the area under the curve (AUC), and diagnostic performance with the positive predictive value (PPV). Using 2-year PFS as outcome, the IPI yielded an AUC of 0.62 (range:0.51-0.65). The clinicalPET model yielded a significantly higher AUC of 0.71 (range:0.59-0.75, p<0.001). Comparable results were found using 2-year TTP. High-risk IPI patients had a 2-year PFS of 61.4%, versus 51.9% for the high-risk clinicalPET patients, with an increase in PPV from 35.5% to 49.1%, respectively. 66.4% of high-risk IPI patients were free from progression or relapse versus 55.5% for high-risk clinicalPET patients, with an increased PPV from 33.7% to 44.6%, respectively. The clinicalPET model that was developed in the HOVON-84 dataset remained predictive of outcome in 6 independent first-line DLBCL studies, and had higher model performance than the currently used IPI in all studies.