Explainable incremental-value analysis of apparent diffusion coefficient and arterial spin labeling radiomics for ATRX status prediction in glioblastoma - Report - MDSpire
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Explainable incremental-value analysis of apparent diffusion coefficient and arterial spin labeling radiomics for ATRX status prediction in glioblastoma
Clinical Report: Incremental Value Assessment of MRI for Predicting ATRX Status
Overview
This study evaluates the incremental value of apparent diffusion coefficient (ADC) and arterial spin labeling (ASL) radiomics in predicting ATRX status in glioblastoma (GBM).
Background
ATRX mutations are significant in glioblastoma, influencing tumor biology and treatment response. Noninvasive methods for predicting ATRX status could enhance risk stratification. This study explores the utility of advanced MRI techniques in providing insights into ATRX status, which is traditionally assessed through invasive tissue sampling.
Data Highlights
Model
ROC-AUC
PR-AUC
Sensitivity
Structural Model
0.721
0.322
0.737
Model 1A (with ADC and ASL)
0.753
0.364
0.947
Key Findings
ATRX mutations are linked to tumor heterogeneity and treatment response in GBM.
The best structural model achieved an ROC-AUC of 0.721.
Model 1A, incorporating ADC and ASL features, improved ROC-AUC to 0.753.
Model 1A demonstrated a sensitivity of 0.947, indicating high predictive capability.
ADC and ASL features contributed significant physiologic information in predicting ATRX status.
Clinical Implications
Incorporating ADC and ASL radiomics into MRI assessments may enhance the noninvasive prediction of ATRX status in GBM.
Conclusion
The study supports the use of advanced MRI techniques as complementary tools for predicting ATRX status in glioblastoma.
by Rafail C. Christodoulou, Revati Natu, Georgios Vamvouras, Platon S. Papageorgiou, Evros Vassiliou, Elena E. Solomou, Sokratis G. Papageorgiou, Michalis F. Georgiou
