Keywords:
Abdomen, Genital / Reproductive system female, Oncology, MR, MR-Functional imaging, Diagnostic procedure, Imaging sequences, Radiation therapy / Oncology, Cancer, Molecular, genomics and proteomics, Neoplasia
Authors:
H.-J. Meyer, P. Gundermann, G. Hamerla, A. K. Höhn, A. Surov; Leipzig/DE
DOI:
10.26044/ecr2019/C-0768
Results
Correlation analysis
An overview about the Spearman's correlation analysis with Benjamini-Hochberg correction is given by figure 7.
Several pre- and postcontrast derived t1-weighted parameters correlated inversely with EGFR expression.
For precontrast t1- weighted images,
the strongest correlation was found for p90 (ρ=-0.77,
p=0.004).
For postcontrast t1 weighted images,
the strongest correlation was observed for minimum (ρ=-0.64,
p=0.021) (figure 8).
For t2 weighted images,
mean,
p25,
p75,
p90 and median correlated with EGFR expression.
No statistically significant correlations were identified between histogram analysis parameters and cell count,
Ki67 index or expression of Histone 3,
Hif1-alpha,
VEGF or p53.
Her 2 prediction
Several parameters derived from t2-weighted images were statistically significant different between Her2-positive and Her2-negative tumors.
Skewness had the best p-value (p=0.004) (figure 9).
Furthermore,
receiver operating characteristic (ROC) analysis identified the highest area under the curve (AUC) for t2-weighted skewness (0.94) (figure 10).
In addition,
a threshold value of 0.32 for t2-weighted skewness had a sensitivity of 100% and a specificity of 81% for distinguishing between Her2-positive and Her2-negative tumors.