A comparison of efficiency between 18F-FDG PET neuroimaging analysis software in Alzheimer’s disease patients

Abstract

Introduction: Alzheimer’s disease is a common type of dementia that affects thinking, memory, and social abilities resulting from nerve cells being damaged or lost. Positron Emission Tomography (PET) brain imaging is most wildly used to detect these conditions and there is various software for analysis.

Therefore, the use of appropriate software can support radiologist for improving the efficiency of diagnosis and treatment outcomes for Alzheimer’s disease. Purpose: This study aimed to compare the accuracy and effectiveness of the automated quantitative software of Syngo via and MIM software, and also guided the use of an appropriate analysis software. Methods:  A total of 40 patients, aged 56-77 years, consisted of 20 normal patients and 20 diseased patients that were collected and analyzed by the Syngo via and the MIM software. The data analysis for PET subjects were compared with the calculated data and the visual analysis from physicians, respectively. Results: In normal patients, the MIM software show the result of sensitivity, specificity, positive predictive value, and negative predictive value were 75.68, 66.67, 96.55 and 18.18, while the Syngo via show the result were 91.89, 0.00, 91.89 and 0.00, respectively. For the Alzheimer’s disease patients, the MIM software show the result of sensitivity, specificity, positive predictive value, and negative predictive value are 94.74, 47.62, 62.07 and 90.91, while the Syngo via are 100.00, 14.29, 51.53 and 100.00, respectively. Conclusion: This study indicates that the Syngo via software is higher sensitivity than the MIM software. However, the MIM software is more accurate and suitable than the Syngo via software for diagnosis due to there are high specificity, positive predictive value, and negative predictive value.