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. 2021 Feb 16;11:3932. doi: 10.1038/s41598-021-83141-z

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Model uncertainty can inform the likelihood of achieving an accurate radiogenomics prediction for EGFR amplification status. We obtained two separate biopsies (#1 and #2) from the same tumor in a patient with primary GBM. The (A) T2W and (B) T1+C images demonstrate the enhancing (dark green outline, T1W+Contrast) and peripheral non-enhancing tumor segments (light green outline, T2W lesion). The (C) radiogenomics color map shows regions of predicted EGFR amplification (amp, red) and EGFR wildtype (wt, blue) status overlaid on the T1+C images. For biopsy #1 (green circle), the radiogenomics model predicted EGFR wildtype status (blue) with high certainty, which was concordant with biopsy results (green box). For biopsy #2 (yellow circle), the radiogenomics model showed poor certainty (i.e., high uncertainty), with resulting discordance between predicted (red) and actual EGFR status (yellow box).