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Table 1 Clinical characteristics of patients

From: Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T1-weighted Contrast-enhanced Imaging

Variable Total Pseudoprogression True progression P value
No. of patients 77 n = 26 n = 51 NA
Gender     
 Male 40 12 (46.2%) 28 (54.9%) 0.482*
 Female 37 14 (53.8%) 23 (45.1%)  
Age     
Mean 49.1 ± 10.5 47.1 ± 10.2 50.1 ± 10.4 0.230**
Karnofsky Performance Scale Score     
  ≤ 80 36 11 (89.3%) 25 (98.9%) 0.635*
  > 80 41 15 (10.7%) 26 (1.1%)  
Surgery     
 Subtotal resection 17 5 (29.4%) 12 (70.6%) 0.776*
 Gross total resection 60 21 (35%) 39 (65%)  
Neurological Deficit     
 No 44 16 (36.4%) 28 (63.6%) 0.633*
 Yes 33 10 (30.3%) 23 (69.7%)  
Mean Radiation Dose(Gy) 59.1 59.5 58.6 0.365*
  1. Except where indicated, data are numbers of patients
  2. aData are mean ± standard deviation
  3. *Calculated by using the Fisher’s exact test. **Calculated by using unpaired Student t test
  4. The difference between the groups was significant (P < 0 .05)