CLINICAL-APPLICATIONS - MRI, SPECT, AND PET

被引:89
|
作者
SPENCER, SS
THEODORE, WH
BERKOVIC, SF
机构
[1] Department of Neurology, Yale University School of Medicine, New Haven
[2] Clinical Epilepsy Section, Epilepsy Research Branch, National Institutes of Neurological Disorders and Stroke, Bethesda
[3] Department of Neurology, The Austin Hospital, Heidelberg, Vic.
关键词
EPILEPSY; IMAGING; LOCALIZATION; MRI; SPECT; PET;
D O I
10.1016/0730-725X(95)02021-K
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
MRI, PET,and SPECT are all used to image abnormalities in the epileptic brain. Comparison of the techniques is difficult because they measure different aspects of the epileptic process - structure, metabolism, and perfusion. SPECT is the only one that can be systematically applied during seizures, while all three are used to image interictal abnormalities. Literature review suggests that of interictal techniques, PET has the highest diagnostic sensitivity in temporal lobe epilepsy (TLE) (84% vs. 66% for SPECT, 55% for qualitative MRI, 71% for quantitative MRI) while SPECT has the highest sensitivity in extratemporal epilepsy (ETE) (60% vs. 43% for MRI and 33% for PET). The highest diagnostic sensitivity and specificity were achieved by ictal imaging with SPECT (90% in TLE, 81% in ETE). The techniques, however, were not always redundant. One reason for the wide discrepancy of results in TLE and ETE might be the differing pathologic substrates. A literature review of imaging findings associated with mesial temporal sclerosis(MTS), developmental lesion or tumor as the underlying abnormality associated with epilepsy supports this explanation. PET and MRI are much more sensitive to MTS than SPECT (100%, 95% vs. 70%). On the other hand,in developmental lesions the three techniques are equally sensitive (88-92%) and in tumors, MRI was most sensitive(96%) and SPECT least (82%). A study at NIH explains the differing sensitivities: using PET to measure both blood flow and metabolism revealed discrepant findings in the same patients. Preliminary evidence also indicates that the distribution of hyperperfusion on ictal SPECT can differentiate subtypes of TLE. Combining the results of refined imaging techniques holds great promise in epilepsy localization and diagnosis.
引用
收藏
页码:1119 / 1124
页数:6
相关论文
共 50 条
  • [1] MRI OF THE SHOULDER - CLINICAL-APPLICATIONS
    BELTRAN, J
    MCGHEE, RB
    BURK, JM
    MCCALLA, M
    INVESTIGATIVE RADIOLOGY, 1988, 23 (09) : S48 - S48
  • [2] INTEREST OF TOF PET FOR CLINICAL-APPLICATIONS
    VACHER, J
    ALLEMAND, R
    BOUVIER, A
    MONNET, O
    TOURNIER, E
    MEDICAL PROGRESS THROUGH TECHNOLOGY, 1991, 17 (3-4) : 229 - 235
  • [3] CLINICAL-APPLICATIONS OF FUNCTIONAL MRI IN NEUROPSYCHIATRY
    LEVIN, JM
    ROSS, MH
    RENSHAW, PE
    JOURNAL OF NEUROPSYCHIATRY AND CLINICAL NEUROSCIENCES, 1995, 7 (04) : 511 - 522
  • [4] Potential clinical applications of bimodal PET-MRI or SPECT-MRI agents
    de Rosales, Rafael T. M.
    JOURNAL OF LABELLED COMPOUNDS & RADIOPHARMACEUTICALS, 2014, 57 (04): : 298 - 303
  • [5] MRI IN CARDIOLOGY - PHYSICAL AND TECHNOLOGICAL BASIS AND CLINICAL-APPLICATIONS
    CHAMBRON, J
    DESGREZ, A
    SACREZ, A
    FINCKER, JF
    JOURNAL DE BIOPHYSIQUE ET DE BIOMECANIQUE, 1986, 10 (04): : 143 - 146
  • [6] Clinical applications of registration and fusion of multimodality brain images from PET, SPECT, CT, and MRI
    Pietrzyk, U
    Herholz, K
    Schuster, A
    vonStockhausen, HM
    Lucht, H
    Heiss, WD
    EUROPEAN JOURNAL OF RADIOLOGY, 1996, 21 (03) : 174 - 182
  • [8] CLINICAL-APPLICATIONS
    WALLACE, DJ
    JOURNAL OF CLINICAL APHERESIS, 1995, 10 (02) : 104 - 105
  • [9] PET/MRI: Applications in Clinical Imaging
    Herrmann K.A.
    Kohan A.A.
    Gaeta M.C.
    Rubbert C.
    Vercher-Conejero J.L.
    Paspulati R.M.
    Antonis K.
    Mansoori B.
    Faulhaber P.F.
    Avril N.
    Ros P.R.
    Current Radiology Reports, 2013, 1 (3) : 161 - 176
  • [10] Cardiovascular clinical applications of PET/MRI
    Ratib O.
    Nkoulou R.
    Schwaiger M.
    Clinical and Translational Imaging, 2013, 1 (1) : 65 - 71