Machine Learning Classification of Mild Traumatic Brain Injury Using Whole-Brain Functional Activity: A Radiomics Analysis.

Objectives: To investigate the classification performance of support vector machine in mild traumatic brain injury (mTBI) from normal controls.

Methods: Twenty-four mTBI patients (15 males and 9 females; mean age, 38.88 ± 13.

[The study of pedicle imaging and reformation with the multi-slice spiral CT in the surgical treatment of lumbar spondylolisthesis].

Objective: To evaluate the value of pedicle parameter obtained by the reformation images on multi-slice spiral CT (MSCT) in the surgical treatment of lumbar spondylolisthesis.

Methods: From January 2009 to March 2010, 60 patients with lumbar spondylolisthesis failing in conservative treatment were enrolled into the study and divided into experimental and control group randomly (each group with 30 patients). There were 26 males and 34 females ranging in age from 18 to 59 years with an average of (42.