Analysis of morphological characteristics of IDH-mutant/wildtype brain tumors using whole-lesion phenotype analysis

James M. Snyder, Raymond Y. Huang, Harrison Bai, Vikram R. Rao, Susannah Cornes, Jill S. Barnholtz-Sloan, David Gutman, Rebecca Fasano, Erwin G. Van Meir, Daniel Brat, Jennifer Eschbacher, John Quackenbush, Patrick Y. Wen, Jong Woo Lee*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background. Although IDH-mutant tumors aggregate to the frontotemporal regions, the clustering pattern of IDH-wildtype tumors is less clear. As voxel-based lesion-symptom mapping (VLSM) has several limitations for solid lesion mapping, a new technique, whole-lesion phenotype analysis (WLPA), is developed. We utilize WLPA to assess spatial clustering of tumors with IDH mutation from The Cancer Genome Atlas and The Cancer Imaging Archive. Methods. The degree of tumor clustering segmented from T1 weighted images is measured to every other tumor by a function of lesion similarity to each other via the Hausdorff distance. Each tumor is ranked according to the degree to which its neighboring tumors show identical phenotypes, and through a permutation technique, significant tumors are determined. VLSM was applied through a previously described method. Results. A total of 244 patients of mixed-grade gliomas (WHO II-IV) are analyzed, of which 150 were IDH-wildtype and 139 were glioblastomas. VLSM identifies frontal lobe regions that are more likely associated with the presence of IDH mutation but no regions where IDH-wildtype was more likely to be present. WLPA identifies both IDH-mutant and -wildtype tumors exhibit statistically significant spatial clustering. Conclusion. WLPA may provide additional statistical power when compared with VLSM without making several potentially erroneous assumptions. WLPA identifies tumors most likely to exhibit particular phenotypes, rather than producing anatomical maps, and may be used in conjunction with VLSM to understand the relationship between tumor morphology and biologically relevant tumor phenotypes.

Original languageEnglish (US)
Article numbervdab088
JournalNeuro-Oncology Advances
Volume3
Issue number1
DOIs
StatePublished - Jan 1 2021

Keywords

  • Brain tumor
  • IDH mutation
  • TCGA
  • TCIA
  • statistical mapping

ASJC Scopus subject areas

  • Clinical Neurology
  • Oncology
  • Surgery

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