Reliability of automated brain volumetric analysis: A test by comparing NeuroQuant and volBrain software.

BACKGROUND AND PURPOSE: Brain volume analysis from magnetic resonance imaging (MRI) is gaining an important role in neurological diagnosis. This study compares the volumes of brain segments measured by two automated brain analysis software, NeuroQuant (NQ), and volBrain (VB) in order to test their reliability in brain volumetry. METHODS: Using NQ and VB software, the same brain segment volumes were calculated and compared, taken from 56 patients scanned under the same MRI sequence. These segments were intracranial cavity, putamen, thalamus, amygdala, whole brain, cerebellum, white matter, and hippocampus. The paired t-test method has been used to determine if there was a significant difference in these measurements. The interclass correlation (ICC) is used to test inter-method reliability between the two software. Finally, regression analysis was used to examine the possibility of linear correlation. RESULTS: In all brain segments tested but hippocampus, significant differences were found. ICC presents satisfactory to excellent reliability in all brain segments except thalamus and amygdala for which reliability has been proven to be poor. In most cases, linear correlation was found. CONCLUSIONS: The significant differences found in the majority of the tested brain segments are raising questions about the reliability of automated brain analysis as a quantitative tool. Strong linear correlation of the volumetric measurements and good reliability indicates that, each software provides good qualitative information of brain structures size.

PNPLA3 rs 738409 and Other Nongenetic Factors Associated with Hepatic Steatosis Estimated by Magnetic Resonance Imaging Proton Density Fat Fraction in Adult Greek Subjects with Type 2 Diabetes Mellitus.

Objectives: Nonalcoholic fatty liver disease is dramatically increasing in parallel with the pandemic of type 2 diabetes mellitus. We investigated factors associated with hepatic steatosis (HS) in adult Greek individuals with established type 2 diabetes mellitus. Materials and Methods: We investigated 120 consecutive people with type 2 diabetes attending the Diabetic Outpatient Clinic at an Academic Hospital in Athens, Greece. All of them had demographic, clinical, and biochemical data recorded. HS was estimated by magnetic resonance imaging determined by proton density fat fraction software and defined as the percentage of total liver fat divided by the liver volume. HS of >5% was considered abnormal. The PNPLA3 (I148M) variant was evaluated as a genetic factor by standard molecular techniques. FibroMax™ was also calculated. Results: Of the 120 participants, median age was 61.7, 46% were females, diabetes duration was 10 years, and HbA1c (glycated hemoglobin) was 6.7%. The median value of HS was 7.8. The PNPLA3 rs738409 CC/CG/GG genotype frequencies were 54.2%, 35%, and 10.8%, respectively. In multivariate analysis, PNPLA3 rs738409 (ß = 0.425, P = 0.001), waist circumference (ß = 2.448, P = 0.001), and female sex (ß = 0.419, P = 0.002) had a direct association with HS, while duration of diabetes (ß = -0.179, P = 0.011) had an inverse association with HS. Conclusions: HS in type 2 diabetes is the sum of interplay of various factors exerting a direct or an inverse association, the most prominent among them being abdominal obesity and PNPLA3 molecular variability.