18F-FDG PET/CT metabolic tumor parameters and radiomics features in aggressive non-Hodgkin’s lymphoma as predictors of treatment outcome and survival

Purpose To determine whether metabolic tumor parameters and radiomic features extracted from 18 F-FDG PET/CT (PET) can predict response to therapy and outcome in patients with aggressive B-cell lymphoma. Methods This institutional ethics board-approved retrospective study included 82 patients underg...

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Veröffentlicht in:Annals of nuclear medicine 2018-07, Vol.32 (6), p.410-416
Hauptverfasser: Parvez, Aatif, Tau, Noam, Hussey, Douglas, Maganti, Manjula, Metser, Ur
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Sprache:eng
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Zusammenfassung:Purpose To determine whether metabolic tumor parameters and radiomic features extracted from 18 F-FDG PET/CT (PET) can predict response to therapy and outcome in patients with aggressive B-cell lymphoma. Methods This institutional ethics board-approved retrospective study included 82 patients undergoing PET for aggressive B-cell lymphoma staging. Whole-body metabolic tumor volume (MTV) using various thresholds and tumor radiomic features were assessed on representative tumor sites. The extracted features were correlated with treatment response, disease-free survival (DFS) and overall survival (OS). Results At the end of therapy, 66 patients (80.5%) had shown complete response to therapy. The parameters correlating with response to therapy were bulky disease > 6 cm at baseline ( p  = 0.026), absence of a residual mass > 1.5 cm at the end of therapy CT ( p  = 0.028) and whole-body MTV with best performance using an SUV threshold of 3 and 6 ( p  = 0.015 and 0.009, respectively). None of the tumor texture features were predictive of first-line therapy response, while a few of them including GLNU correlated with disease-free survival ( p  = 0.013) and kurtosis correlated with overall survival ( p  = 0.035). Conclusions Whole-body MTV correlates with response to therapy in patient with aggressive B-cell lymphoma. Tumor texture features could not predict therapy response, although several features correlated with the presence of a residual mass at the end of therapy CT and others correlated with disease-free and overall survival. These parameters should be prospectively validated in a larger cohort to confirm clinical prognostication.
ISSN:0914-7187
1864-6433
DOI:10.1007/s12149-018-1260-1