Identifying Diffuse Intrinsic Pontine Glioma (DIPG) Subtypes via Radiomic Approaches
Silu Zhang1, Zoltan Patay1, Bogdan Mitrea2, Angela Edwards1, Lydia McColl Makepeace1, and Matthew A. Scoggins1
1Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 2Activ Surgical, Boston, MA, United States
In this study, we identified two subtypes of diffuse intrinsic pontine glioma (DIPG) based on radiomic features, with a significant difference in survival rates. Subtype 1 had a mean PFS and OS of 8.9 and 12.7 months, respectively. Subtype 2 had a mean PFS and OS of 5.7 and 9.1 months, respectively.
Figure 1.
Image preprocessing and analysis workflow. A) Images were first automatically
segmented and then manually adjusted if necessary. B) Images were bias
corrected, smoothed, and normalized. C) Radiomic features were extracted from
original and filtered images. D) Patients were divided into training (80%) and
validation (20%) sets. Feature selection was performed in only the training
set. Subtypes were identified using selected features, and survival analysis was
performed on the two subtypes identified.
Figure 3.
Survival rates of the two subtypes identified. A) & B), progression free
survival (PFS). C) & D), overall survival (OS). A) & C) Training set.
B) & D) Validation set.