SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patients
G. A. Jiménez-Londoño, A. M. García Vicente, J. J. Bosque, M. Amo-Salas, J. Pérez-Beteta, A. F. Honguero-Martinez, V. M. Pérez-García, A. M. Soriano
European Radiology (2022)
Abstract
Aim To evaluate the prognostic value of novel geometric variables obtained from pre-treatment 18F-FDG PET/CT with respect to classical ones in patients with non-small cell lung cancer (NSCLC). Methods: Retrospective study including stage I-III NSCLC patients with baseline 18F-FDG PET/CT. Clinical, histopathologic and metabolic parameters were obtained. After tumor segmentation, SUV and volume-based variables, global texture, sphericity and two novel parameters, normalized SUVpeak to centroid distance (nSCD) and normalized SUVmax to perimeter distance (nSPD), were obtained. Early Recurrence (ER) and Short-Term Mortality (STM) were used as end points. Univariate and multivariate logistic regression with respect to ER and STM were performed. Results: A cohort of 173 patients was selected. ER was detected in 49/104 of patients with recurrent disease. Additionally, 100 patients died and 53 had STM. Age, pathologic lymphovascular invasion, lymph nodal infiltration, TNM stage, nSCD and nSPD were associated with ER, although only age (aOR=1.06, p=0.002), pathologic lymphovascular invasion (aOR= 3.40, p=0.022) and nSPD (aOR=0.02, p=0.018) were significant independent predictors of ER in multivariate analysis. Age, lymph nodal infiltration, TNM stage, nSCD and nSPD were predictors of STM. Age (aOR=1.05, p=0.006), lymph nodal infiltration (aOR=2.72, p=0.005) and nSPD (aOR= 0.03, p=0.022) were significantly associated with STM in multivariate analysis. Global heterogeneity parameters did not show significant predictive value with respect to ER or STM. Conclusion: The geometric variables, nSCD and nSPD, are robust biomarkers of the poorest outcome prediction of patients with NSCLC with respect to classical PET variables.