Morphometric Measurements of MRI Findings in Patients with Alzheimer's Disease

被引:1
|
作者
Yucel, Ferruh [1 ]
Yaman, Suzan Onur [1 ]
Ozbabalik, Demet [2 ]
Ozkan, Serhat [2 ]
Ortug, Gursel [1 ]
Ozdemir, Gazi [2 ]
机构
[1] Eskisehir Osmangazi Univ, Fac Med, Dept Anat, TR-26480 Eskisehir, Turkey
[2] Eskisehir Osmangazi Univ, Fac Med, Dept Neurol, TR-26480 Eskisehir, Turkey
来源
关键词
Alzheimer; brain; morphometry; Cavalieri's principle; MILD COGNITIVE IMPAIRMENT; DEMENTIA; DIAGNOSIS; ATROPHY; VOLUME;
D O I
暂无
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background. Alzheimer's disease (AD) is one of the most common degenerative neurological disorders among elderly people, and is associated with progressive cerebral atrophy. AD is characterized by deterioration of the memory, difficulties with language, alterations in behavior and dysfunction in daily activities. Objectives. The purpose of the present study was to measure the total volumes of different parts of the brain of AD patients and healthy gender-matched controls using Cavalieri's volume estimate method, and to establish some brain ratios. Moreover, the authors wanted to test this method in measuring the volumes of various parts of the brain from MRI scans. Material and Methods. In this study, the MRI scans of 15 right-handed individuals with probable AD and 10 healthy controls were assessed. Cavalieri's volume estimate method was applied to the brain MRI scans to calculate the volumes of various parts of the brain. Results. While the measurements showed a marked increase in the volume of cerebral ventricles and sulci in AD patients in comparison to the gender-matched controls, the volumes of cortical gray matter and cerebral hemispheric brain matter were reduced considerably. However, no significant differences were detected in the volume of the cerebellum + brainstem or intracranium in AD patients. There were also no major variations between male and female values of the two groups. Conclusions. Overall, cerebral hemisphere and cortical gray matter atrophies were the most remarkable findings among AD patients in the present study; consequently, expansions of both the ventricles and subarachnoid space were formed. Cavalieri's volume estimate method was very efficient in calculating the volumes of different parts of brain from the MRI scans of both groups.
引用
收藏
页码:91 / 96
页数:6
相关论文
共 50 条
  • [21] CORTICAL CHANGES ASSOCIATED WITH DEPRESSION IN ALZHEIMER'S DISEASE: AN MRI SURFACE-BASED MORPHOMETRIC STUDY
    Lebedev, A. V.
    Beyer, M. K.
    Fritze, F.
    Westman, E.
    Aarsland, D.
    EUROPEAN PSYCHIATRY, 2012, 27
  • [22] Promising findings for Alzheimer's disease
    Laffman-Johnson, Elise
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2013, 93 (03) : 220 - 220
  • [23] DEMENTIA IN ALZHEIMER'S DISEASE: A COMPARISON OF MRI AND 1H-MRS FINDINGS BETWEEN ALZHEIMER'S DISEASE AND MILD COGNITIVE IMPAIRMENT
    Mullins, D.
    Lamar, M.
    Daly, E.
    Simmons, A.
    Murphy, K.
    Lovestone, S.
    Murphy, D.
    EUROPEAN PSYCHIATRY, 2009, 24
  • [24] Neuroimaging findings in Alzheimer's disease
    Fukuyama, H
    NEUROPATHOLOGY, 1998, 18 (01) : 91 - 97
  • [25] MRI as a predictor of Alzheimer's disease
    不详
    NEUROSCIENTIST, 2000, 6 (06): : 420 - 421
  • [26] A morphometric study of subcortical changes in Alzheimer's disease
    Ohara, K
    Miyoshi, K
    Takauchi, S
    Kokai, M
    Nakajima, T
    Morita, Y
    NEUROPATHOLOGY, 1999, 19 (02) : 161 - 171
  • [27] MRI morphometry in Alzheimer's disease
    Matsuda, Hiroshi
    AGEING RESEARCH REVIEWS, 2016, 30 : 17 - 24
  • [28] Correlation of neuropsychological findings in patients with mild to moderate Alzheimer's disease
    Pavlovic, D. M.
    Pavlovic, A. M.
    Pekmezovic, T.
    EUROPEAN JOURNAL OF NEUROLOGY, 2004, 11 : 40 - 41
  • [29] Amyloid Imaging Findings in Familial and Sporadic Patients with Alzheimer's Disease
    Sanlier, M.
    Yilmaz, Y.
    Topcular, B.
    EUROPEAN JOURNAL OF NEUROLOGY, 2020, 27 : 1030 - 1030
  • [30] From Longitudinal Measurements to Image Classification: Application to Longitudinal MRI in Alzheimer's Disease
    Mofrad, Samaneh A.
    Bartsch, Hauke
    Lundervold, Alexander S.
    INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 4, INTELLISYS 2023, 2024, 825 : 577 - 592