DataSheet_1_The relationship between radiomics and pathomics in Glioblastoma patients: Preliminary results from a cross-scale association study.pdf

Glioblastoma multiforme (GBM) typically exhibits substantial intratumoral heterogeneity at both microscopic and radiological resolution scales. Diffusion Weighted Imaging (DWI) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) are two functional MRI techniques that are commonly employed in clinic for the assessment of GBM tumor characteristics. This work presents initial results aiming at determining if radiomics features extracted from preoperative ADC maps and post-contrast T1 (T1C) images are associated with pathomic features arising from H&E digitized pathology images. 48 patients from the public available CPTAC-GBM database, for which both radiology and pathology images were available, were involved in the study. 91 radiomics features were extracted from ADC maps and post-contrast T1 images using PyRadiomics. 65 pathomic features were extracted from cell detection measurements from H&E images. Moreover, 91 features were extracted from cell density maps of H&E images at four different resolutions. Radiopathomic associations were evaluated by means of Spearman’s correlation (ρ) and factor analysis. p values were adjusted for multiple correlations by using a false discovery rate adjustment. Significant cross-scale associations were identified between pathomics and ADC, both considering features (n = 186, 0.45 < ρ < 0.74 in absolute value) and factors (n = 5, 0.48 < ρ < 0.54 in absolute value). Significant but fewer ρ values were found concerning the association between pathomics and radiomics features (n = 53, 0.5 < ρ < 0.65 in absolute value) and factors (n = 2, ρ = 0.63 and ρ = 0.53 in absolute value). The results of this study suggest that cross-scale associations may exist between digital pathology and ADC and T1C imaging. This can be useful not only to improve the knowledge concerning GBM intratumoral heterogeneity, but also to strengthen the role of radiomics approach and its validation in clinical practice as “virtual biopsy”, introducing new insights for omics integration toward a personalized medicine approach.</p

Histogram metrics of DTI-derived indices in control subjects and SCA2 patients.

<p>Median (interquartile range) data are reported. MD/AD/RD median and peak location are expressed in ×10⁻³ mm²/s, while FA/MO median and peak location are unitless.</p

Processing pipeline for T₁-weighted and diffusion-weighted images of a single subject.

<p>Processing pipeline for T₁-weighted and diffusion-weighted images of a single subject.</p

Demographic, genetic and clinical data in 10 SCA2 patients.

<p>F, female; IACRS, Inherited Ataxia Clinical Rating Scale; M, male; SD, standard deviation.</p

Results of the baseline between group (SCA2 vs. controls) TBM analysis.

<p>Voxel-wise corrected p-value maps (threshold-free cluster enhancement, TFCE), testing the null hypothesis of zero differences in <b>|J|</b>_baseline between SCA2 patients and healthy controls. Highlighted clusters indicate significantly (p<0.05) more pronounced mean atrophy in SCA2 patients when compared to healthy controls (i.e. <b>|J|</b>_baseline in SCA2 patients significantly lower than <b>|J|</b>_baseline in healthy controls). All maps are overlayed on population-specific T1 template. These maps show significant symmetric atrophic changes in SCA2 patients (with respect to controls) in the brainstem, middle cerebellar peduncels, and cerebellar WM and adjacent cortical GM. No significant differences are observed in the supratentorial compartment.</p