Evaluation of a nnU-Net type automated clinical volumetric tumor segmentation tool for diffuse low-grade glioma follow-up

Autor: Verdier, Margaux, Deverdun, Jeremy, de Champfleur, Nicolas Menjot, Duffau, Hugues, Lam, Philippe, Santos, Thomas Dos, Troalen, Thomas, Maréchal, Bénédicte, Huelnhagen, Till, Bars, Emmanuelle Le
Zdroj: Journal de Neuroradiologie / Journal of Neuroradiology; 20230101, Issue: Preprints
Abstrakt: Diffuse low-grade gliomas (DLGG) are characterized by a slow and continuous growth and always evolve towards an aggressive grade. Accurate prediction of the malignant transformation is essential as it requires immediate therapeutic intervention. One of its most precise predictors is the velocity of diameter expansion (VDE). Currently, the VDE is estimated either by linear measurements or by manual delineation of the DLGG on T2 FLAIR acquisitions. However, because of the DLGG's infiltrative nature and its blurred contours, manual measures are challenging and variable, even for experts. Therefore we propose an automated segmentation algorithm using a 2D nnU-Net, to 1) gain time and 2) standardize VDE assessment.
Databáze: Supplemental Index