THE DIAGNOSIS OF HIPPOCAMPAL SCLEROSIS - OTHER TECHNIQUES

被引:36
|
作者
JACKSON, GD
机构
[1] Department of Neurology, Austin and Repatriation Medical Centre
[2] Institute of Child Health, University of London
关键词
MAGNETIC RESONANCE; IMAGING; EPILEPSY; HIPPOCAMPUS; HIPPOCAMPAL SCLEROSIS;
D O I
10.1016/0730-725X(95)02016-M
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Pathologically, hippocampal sclerosis (HS) is characterized by neuronal loss and gliosis affecting particularly the pyramidal neurons of CA1, CA3, and CA4 with relative sparing of the CA2 neurons. This can be identified in vivo with magnetic resonance (MR) imaging techniques that can reveal both morphological and signal abnormalities. The morphological changes are atrophy and loss of the normal internal architecture of the hippocampus as seen in coronal section, There is also T-1- and T-2-weighted signal abnormality in the hippocampus. Quantitative techniques are very good at measuring any single one of these features, but the spectrum of HS includes cases in which a single feature can occasionally be misleading. Also, quantitation focuses entirely on the hippocampus, and it is becoming clear that HS may exist in the presence of other brain pathology that may affect proper management of the patient. Therefore, quantitative measures should always be interpreted in the context of optimised imaging sequences and visual inspection. For routine clinical purposes, the relative reliance on quantitation (hippocampal volume or T-2 measurements) depends entirely on the yield of visual inspection in any institution. This, in turn, depends on whether optimised imaging is performed and on the familiarity of the reporting specialist with the MRI features of HS. A technique which approaches 95-100% compared with pathology is essential in any epilepsy centre, and optimised visual analysis can achieve this. There are some cases where quantitation of a single feature can be misleading, so visual analysis should always be performed, and complements any quantitative study.
引用
收藏
页码:1081 / 1093
页数:13
相关论文
共 50 条
  • [21] Cancer Diagnosis through SERS and Other Related Techniques
    Blanco-Formoso, Maria
    Alvarez-Puebla, Ramon A.
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (06)
  • [22] Hippocampal epileptogenesis in animal models of mesial temporal lobe epilepsy with hippocampal sclerosis: The importance of the "latent period" and other concepts
    Sloviter, Robert S.
    EPILEPSIA, 2008, 49 : 85 - 92
  • [23] Differential diagnosis of multiple sclerosis and other inflammatory CNS diseases
    Wildner, Paula
    Stasiolek, Mariusz
    Matysiak, Mariola
    MULTIPLE SCLEROSIS AND RELATED DISORDERS, 2020, 37
  • [24] Differential diagnosis of multiple sclerosis with other neurologic diseases in children
    Yefimenko, V. N.
    EUROPEAN JOURNAL OF NEUROLOGY, 2010, 17 : 230 - 230
  • [25] Differential diagnosis of multiple sclerosis with other neurologic diseases in children
    Yefimenko, V. N.
    EUROPEAN JOURNAL OF NEUROLOGY, 2004, 11 : 268 - 269
  • [26] Evaluation of MRI criteria (1.5 T) for the diagnosis of hippocampal sclerosis in healthy subjects
    Menzler, K.
    Iwinska-Zelder, J.
    Shiratori, K.
    Jaeger, R. K.
    Oertel, W. H.
    Hamer, H. M.
    Rosenow, F.
    Knake, S.
    EPILEPSY RESEARCH, 2010, 89 (2-3) : 349 - 354
  • [27] Differential diagnosis of multiple sclerosis: contribution of magnetic resonance techniques
    Triulzi, F
    Scotti, G
    JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 1998, 64 : S6 - S14
  • [28] MULTIPLE-SCLEROSIS - INCORPORATION OF RESULTS OF LABORATORY TECHNIQUES IN THE DIAGNOSIS
    POLMAN, CH
    KOETSIER, JC
    WOLTERS, EC
    CLINICAL NEUROLOGY AND NEUROSURGERY, 1985, 87 (03) : 187 - 192
  • [29] Improved multiple sclerosis diagnosis with advanced deep learning techniques
    Pandian, A.
    Udhayakumar, G.
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2023, 33 (06) : 2128 - 2141
  • [30] Artificial intelligence techniques in the diagnosis of clinically definite multiple sclerosis
    Dalla Costa, G.
    Moiola, L.
    Leocani, L.
    Furlan, R.
    Filippi, M.
    Comi, G.
    Martinelli, V.
    MULTIPLE SCLEROSIS JOURNAL, 2014, 20 : 170 - 170