Anja Samardzija1, Thanh Nguyen2, Elizabeth Sweeney2, Kailyn Lee2, Ilhami Kovanlikaya2, Yi Wang 2, Andrew Schweitzer2, and Apostolos Tsiouris2
1Electrical and Computer Engineering, Cornell University, Highlands, NJ, United States, 2Weill Cornell Medicine, New York City, NY, United States
1Electrical and Computer Engineering, Cornell University, Highlands, NJ, United States, 2Weill Cornell Medicine, New York City, NY, United States
QSM is used to classify ALS patients from similar clinical presentations. A random forest classification model is applied on the radiomic features of the primary motor cortex which has accuracy of 0.8, specificity of 0.75, and sensitivity of 0.84.
Figure 1. Distributions of the most important variables of the random forest by diagnosis group.
Figure 2. Example of QSM images of the primary motor cortex region obtained from ALS and mimics patients.