title: Diagnostic value of Alzheimer's disease-related individual structural volume measurements using IBASPM.
abstract: We validated the use of medial temporal volume measurements via the automated volumetric method of Individual Brain Atlases using Statistical Parametric Mapping (IBASPM) in screening for Alzheimer's disease (AD). We also determined the optimal cut-off values for hippocampal volumes. This study included T1-weighted MRI of 89 patients with AD and 33 normal controls. To determine age-specific cut-off values we grouped subjects according to age. The regional structural volumes of each group were measured using individual atlas-based volumetry with IBASPM. The normalized value of left hippocampal volume in patients with AD was significantly lower than that of normal controls in all age groups. The area under the curve values of the left hippocampus in receiver operating characteristic curves were also the largest in the medial temporal lobe, indicating that left hippocampal volume is the most useful factor in AD screening. The optimal cut-off values of the left hippocampus for diagnosing AD were 4.06 in the 60-64 year age group, 4.05 in the 65-69 group, 4.07 in the 70-74 group and 3.63 in patients older than 75. Measurements of left hippocampal volume using the IBASPM may be useful for AD screening in clinical practice, and could provide a useful biomarker for AD.
authors.affiliation: Department of Neurology, Chung-Ang University College of Medicine, Seoul 156 755, Republic of Korea.
authors.forename: Su-Hyun
authors.initials: SH
authors.lastname: Han
authors.affiliation: Department of Bionano Technology, Gachon University Research Institute, Gachon University, Seoul, Republic of Korea.
authors.forename: Min-A
authors.initials: MA
authors.lastname: Lee
authors.affiliation: Department of Bionano Technology, Gachon University Research Institute, Gachon University, Seoul, Republic of Korea.
authors.forename: Seong Soo
authors.initials: SS
authors.lastname: An
authors.affiliation: Department of Neurology, Chung-Ang University College of Medicine, Seoul 156 755, Republic of Korea.
authors.forename: Suk-Won
authors.initials: SW
authors.lastname: Ahn
authors.affiliation: Department of Neurology, Chung-Ang University College of Medicine, Seoul 156 755, Republic of Korea. Electronic address: neudoc@gmail.com.
authors.forename: Young Chul
authors.initials: YC
authors.lastname: Youn
authors.affiliation: Department of Neurology, Chung-Ang University College of Medicine, Seoul 156 755, Republic of Korea.
authors.forename: Kwang-Yeol
authors.initials: KY
authors.lastname: Park
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000175:diagnosis* / Q000473:pathology*; D019540:Area Under Curve; D001271:Atlases as Topic; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009929:Organ Size; D010363:Pattern Recognition, Automated / Q000379:methods; D011569:Psychiatric Status Rating Scales; D012372:ROC Curve
keywords: Alzheimer’s disease; Hippocampus; Individual Brain Atlases using Statistical Parametric Mapping; Medial temporal lobe; Volumetry