RT Journal Article
SR Electronic
T1 Radiomics of Pediatric Low-Grade Gliomas: Toward a Pretherapeutic Differentiation of <em>BRAF-</em>Mutated and <em>BRAF</em>-Fused Tumors
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
DO 10.3174/ajnr.A6998
A1 M.W. Wagner
A1 N. Hainc
A1 F. Khalvati
A1 K. Namdar
A1 L. Figueiredo
A1 M. Sheng
A1 S. Laughlin
A1 M.M. Shroff
A1 E. Bouffet
A1 U. Tabori
A1 C. Hawkins
A1 K.W. Yeom
A1 B.B. Ertl-Wagner
YR 2021
UL http://www.ajnr.org/content/early/2021/02/11/ajnr.A6998.abstract
AB BACKGROUND AND PURPOSE: B-Raf proto-oncogene, serine/threonine kinase (BRAF) status has important implications for prognosis and therapy of pediatric low-grade gliomas. Currently, BRAF status classification relies on biopsy. Our aim was to train and validate a radiomics approach to predict BRAF fusion and BRAF V600E mutation.MATERIALS AND METHODS: In this bi-institutional retrospective study, FLAIR MR imaging datasets of 115 pediatric patients with low-grade gliomas from 2 children’s hospitals acquired between January 2009 and January 2016 were included and analyzed. Radiomics features were extracted from tumor segmentations, and the predictive model was tested using independent training and testing datasets, with all available tumor types. The model was selected on the basis of a grid search on the number of trees, opting for the best split for a random forest. We used the area under the receiver operating characteristic curve to evaluate model performance.RESULTS: The training cohort consisted of 94 pediatric patients with low-grade gliomas (mean age, 9.4 years; 45 boys), and the external validation cohort comprised 21 pediatric patients with low-grade gliomas (mean age, 8.37 years; 12 boys). A 4-fold cross-validation scheme predicted BRAF status with an area under the curve of 0.75 (SD, 0.12) (95% confidence interval, 0.62–0.89) on the internal validation cohort. By means of the optimal hyperparameters determined by 4-fold cross-validation, the area under the curve for the external validation was 0.85. Age and tumor location were significant predictors of BRAF status (P values = .04 and &lt;.001, respectively). Sex was not a significant predictor (P value = .96).CONCLUSIONS: Radiomics-based prediction of BRAF status in pediatric low-grade gliomas appears feasible in this bi-institutional exploratory study.AUCarea under the curveJPAjuvenile pilocytic astrocytomaNPVnegative predictive valuepLGGpediatric low-grade gliomaPPVpositive predictive valueROCreceiver operating characteristic