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. 2020 Feb 7;10:71. doi: 10.3389/fonc.2020.00071

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Copyright © 2020 Payabvash, Aboian, Tihan and Cha.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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The CART decision tree model could differentiate 7 histopathologies among posterior fossa tumors. In each box (node/leaf), the accurate classification rate (positive predictive value) is expressed as ratios of the most common tumor type per total number of cases fulfilling the criteria. Each box is colored to represent the tumor type, and the intensity of the color reflects the accurate classification ratio. ADC, apparent diffusion coefficient; ATRT, atypical teratoid/rhabdoid tumors; CART, Classification and Regression Tree; EP, Ependymoma; HB, Hemangioblastoma; LGG, low-grade glioma/astrocytoma; MET, metastases; MB, Medulloblastoma; PA, pilocytic astrocytoma. *The ADC n^th refers to the ADC histogram n^th percentile value ×10⁻⁶ mm²/s; for example, ADC 5th percentile <658 × 10⁻⁶ mm²/s. **Both low-grade glioma and anaplastic astrocytoma had 3/10 (30%) ratios in this terminal node.