Research Article

Separability of Acute Cerebral Infarction Lesions in CT Based Radiomics: Toward Artificial Intelligence-Assisted Diagnosis

Table 1

Demographic characteristic and multivariate logistic regression results.

CharacteristicTotal ()Patients with ACI ()Patients with no ACI ()ORα# (OR 95% CI)

Age1.458 (1.086~1.957)
Sex(y)†
 Woman2417 (44.74)7 (38.89)1.000
 Man3221 (55.26)11 (61.11)2.748 (0.108~69.973)
Predict value
 Negative104 (10.53)6 (33.33)1.000
 Positive4634 (89.47)12 (66.67)43.530 (0.640~2960.497)
MRIDiagnosed as ACINo positive finding
CTNo positive findingNo positive finding

#The value of OR was obtained from binary logistic regression by adjusting , and . Dependent is the true value, and covariates are sex, age, and the predicted value. All the covariates were calculated by the enter method. Data are . Data in parentheses are percentages. ACI denotes acute cerebral infarction.