Radiogenomics and radiomics of skull base chordoma: Classification of novel radiomic subgroups and prediction of genetic signatures and clinical outcomes

  • 0Department of Neurological Surgery, University of Miami, Miami, FL, USA.

|

|

Summary

This summary is machine-generated.

Radiomics can noninvasively predict survival and classify skull base chordomas (SBCs). This approach aids in personalized treatment strategies by identifying patient subgroups and reducing the need for invasive genetic testing.

Area Of Science

  • Oncology
  • Medical Imaging
  • Radiomics

Background

  • Chordomas are rare, aggressive tumors of notochordal origin affecting the spine and skull base.
  • Skull base chordomas (SBCs) have a poor prognosis due to treatment resistance and require invasive classification methods.
  • Radiomics offers a noninvasive alternative for SBC diagnosis and treatment planning.

Purpose Of The Study

  • To develop and validate radiomic-based models for predicting overall survival (OS) and progression-free survival following surgery (PFSS) in SBC patients.
  • To identify radiomic-based subgroups of SBCs and correlate them with chromosomal deletions and clinical outcomes.

Main Methods

  • Development and validation of radiomic models using MRI data.
  • Application of machine-learning classifiers, including eXtreme Gradient Boosting (XGBoost), with feature selection.
  • Unsupervised clustering to identify radiomic-based SBC subgroups.

Main Results

  • The XGBoost model achieved high predictive performance for OS (AUC 83.33%) and PFSS (AUC 80.36%).
  • Radiomic clustering identified two distinct SBC groups with different survival rates and molecular characteristics.
  • These radiomic groups strongly correlated with chromosomal deletion profiles, indicating noninvasive phenotypic characterization.

Conclusions

  • Radiomics serves as a promising noninvasive tool for prognostication and classification of SBCs.
  • This approach can minimize the need for invasive genetic testing.
  • Radiomics supports the development of personalized treatment strategies for SBC patients.