Texture analysis of apparent diffusion coefficient (ADC) map for glioma grading: Analysis of whole tumoral and peri-tumoral tissue - 28/04/21
, Abdelhakeem A. Essa b, Ahmed A.S. Elhakeem c, Sara A. Gamal a, Mohamed M.A. Zaitoun d
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Highlights |
• | Texture analysis derived from magnetic resonance imaging is a useful tool to quantify glioma heterogeneity. |
• | Texture analysis parameters derived from apparent diffusion coefficient map are effective in predicting glioma grade. |
• | Quantifying the heterogeneity of tumoral tissue and peri-tumoral edema with magnetic resonance imaging can yield additional important information for glioma grading. |
Abstract |
Purpose |
To prospectively investigate the capabilities of texture analysis (TA) based on apparent diffusion coefficient (ADC) map of the entire tumor volume and the whole volume of peri-tumoral edema, in discriminating between high-grade glioma (HGG) and low-grade glioma (LGG).
Materials and methods |
A total of 33 patients with histopathological proven glioma were prospectively included. There were 20 men and 13 women with a mean age of 54.5±14.7 (standard deviation [SD]) years (range: 34–75years). TA parameters of whole tumor and peri-tumoral edema were extracted from the ADC map obtained with diffusion-weighted spin-echo echo-planar magnetic resonance imaging at 1.5–T. TA variables of HGG were compared to those of LGG. The optimum cut-off values of TA variables and their corresponding sensitivity, specificity and accuracy for differentiating between LGG and HGG were calculated using receiver operating characteristic curve analysis.
Results |
Mean and median tumoral ADC of HGG were significantly lower than those of LGG, at 1.23×10−3 mm2/s and 1.21×10−3 mm2/s cut-off values, yielding 70% sensitivity each (95% CI: 59–82% and 61–80%, respectively), 80% (95% CI: 79–98%) and 90% (95% CI: 82–97%) specificity, and 73% (95% CI: 66–91%) and 76% (95% CI: 72–90%) accuracy, respectively. Significant differences in tumoral and peri-tumoral kurtosis were found between HGG and LGG at 1.60 and 0.314 cut-off values yielding sensitivities of 74% (95% CI: 58–83%) and 70% (95% CI: 59–84%), specificities of 90% (95% CI: 80–95%) and 70% (95% CI: 64–83%) and accuracies of 79% (95% CI: 69–89%) and 70% (95% CI: 64–77%), respectively.
Conclusion |
Measurements of whole tumoral and peri-tumoral TA, based on ADC maps, provide useful information that helps distinguish between HGG and LGG.
Il testo completo di questo articolo è disponibile in PDF.Keywords : Computer-assisted image analysis, Glioma, Tumor grading, Texture analysis, Diffusion magnetic resonance imaging
Abbreviations : ADC, AUC, CI, GLCM, HGG, ICC, LGG, MRI, OR, RLM, ROC, SD, SE, TA, VOIs, WHO
Mappa
Vol 102 - N° 5
P. 287-295 - maggio 2021 Ritorno al numero
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