Diagnostic Accuracy of CT Scan Versus MRI in Detecting Brain Tumors

Background: Early detection of brain tumors is fundamental to improve treatmentoutcomes and patient survival. Although computed tomography is commonly usedbecause it is accessible, magnetic resonance imaging has become more popular becauseof its higher image resolution. This study aimed to compare the diagnostic accuracy ofcomputed tomography and magnetic resonance imaging in detecting brain tumors.Methods: The study included 120 participants between the ages of 20 to 75 (mean age:48), each of whom had a computed tomography and magnetic resonance imaging scanfor suspected brain tumors. Diagnostic measures such as true positives (TP), truenegatives (TN), false positives (FP) and false negatives (FN) were calculated.Sensitivity, specificity, positive predictive value (PPV), negative predictive value(NPV) and accuracy for each model. Results: CT scans identified 45 TP, 60 TN, 10 FP,and 5 FN cases. The sensitivity of CT scans was 90.0%, specificity was 85.7%, PPVwas 81.8%, NPV was 92.3%, and accuracy was 87.5%. MRI identified 48 TP, 65 TN, 6FP, and 1 FN case. The sensitivity of MRI was 98.0%, specificity was 91.5%, PPV was88.9%, NPV was 98.5%, and accuracy was 93.8%. MRI demonstrated highersensitivity, specificity, PPV, NPV, and accuracy compared to CT scans.Conclusion:Magnetic resonance imaging is superior to computed tomography in detecting braintumors. It has greater overall sensitivity and accuracy. These findings suggest that MRIshould be used to diagnose brain tumors. Especially where high sensitivity isimportant. However, factors such as cost and accessibility should be considered whenchoosing between these methods