¹⁸F-FDG PET/MRI Multiparametric Imaging Features for Predicting MYCN Amplification Status in Children With High-Risk...

Area of Science:

• Oncology
• Radiology
• Medical Imaging

Background:

• High-risk neuroblastoma (HR-NB) is an aggressive pediatric cancer.
• MYCN amplification is a key driver of HR-NB aggressiveness.
• Accurate prediction of MYCN amplification status is crucial for treatment stratification.

Purpose of the Study:

• To evaluate the utility of multiparameter 18F-FDG PET/MRI imaging features for predicting MYCN amplification in HR-NB.
• To develop and validate a combined predictive model for noninvasive MYCN amplification status determination.

Main Methods:

• Retrospective analysis of 121 HR-NB patients' clinical and 18F-FDG PET/MRI data.
• Comparison of imaging parameters between MYCN amplification (MNA) and non-amplified (MYCN-NA) groups.
• Multivariate logistic regression and ROC curve analysis to identify independent predictors and assess model performance.

Main Results:

• MNA group showed higher IDRF positivity, stage M proportion, tumor necrosis, and hemorrhage.
• Significantly higher SUVmax, SUVmean, MTV, TLG, and lower ADCmean were observed in the MNA group.
• SUVmax, MTV, and ADCmean were identified as independent predictors of MYCN amplification.
• The combined model achieved an AUC of 0.916, demonstrating superior predictive performance over single parameters.

Conclusions:

• Multiparameter 18F-FDG PET/MRI analysis provides valuable insights into MYCN amplification status in HR-NB.
• A combined predictive model incorporating SUVmax, MTV, and ADCmean offers a noninvasive method for predicting MYCN amplification.
• This model has potential clinical utility for guiding treatment decisions in HR-NB patients.