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Article History

Received: 22 November 2022

Revised: 16 June 2023

Accepted: 10 August 2023

First Online: 7 October 2023

Declarations

:

: The scientific guarantor of this publication is Dr. Farzad Khalvati.

: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

: No complex statistical methods were necessary for this paper.

: Written informed consent was waived by the Institutional Review Board.

: Institutional Review Board approval was obtained (The Hospital for Sick Children (Toronto, Ontario, Canada) and the Lucile Packard Children’s Hospital (Stanford University, Palo Alto, California).

: Some study subjects or cohorts have been previously reported in two previous papers. The first, “Radiomics of Pediatric Low-Grade Gliomas: Toward a Pretherapeutic Differentiation of BRAF-Mutated and BRAF-Fused Tumors,” , was an exploratory study that relied on 115 of our 253 patients. The second, “Dataset size sensitivity analysis of machine learning classifiers to differentiate molecular markers of pediatric low-grade gliomas based on MRI,” Oncology and Radiotherapy 16 (S1) 2022: 01–06, relied on 251 of our 253 patients. These previous studies aimed to establish a relationship between radiomics features and BRAF status, and to determine the best machine learning model on this classification task.

: • Retrospective• Diagnostic or prognostic study• Multicenter study