行政院國家科學委員會專題研究計畫結案報告:腦部功能性磁性振造影之機制及臨床應用的研發（3/3）
Date Issued
1999
Date
1999
Author(s)
���ʳ�
DOI
882314B002033M08
Abstract
The purpose of this two-year study is to
investigate the correlation of magnetic
resonance imaging (MRI) and
histomorphological changes in a focal
brain ischemia model of rat.
In the first-year project, focal cerebral
ischemia was produced with a
predetermined duration. MR imaging is
carried out with different pulse sequences
of T1WI, T2WI, PDWI and DWI. Histomorphological
study included histochemical
stains with H/E, and GFAP. In the
second year, we emphasized the effect of
different post-stroke duration. The “early”
changes of the brain images as well as
histochemistry were studied. We also
performed artificial neural net analsysis on
the images obtained in these two years.
The purpose was to improve the power of
the imaging technique in differentiating
severity and stage of stroke.
The results showed in the acute stage of
stroke, only T2WI and DWI are of great
value in the detection of ischemic
infarction. In histomorphological study, the
H/E represented a more complete or laterstage
change of ischemic infarction.
GFAP revealed ischemic change of
different severity and might indicate
incomplete or earlier ischemic change.
However, the quantitative study revealed
that even the most sensitive DWI was not
able to show up all area with partial and
complete ischemic change as in the
histochmical stain of GFAP.
As for the earlier ischemic changes in
histomorphology and MR image, the study
revealed less satisfactory resutls. Neither
H/E nor GFAP can reflect different
severity of stroke. This is because neuroanl
damage, reactive gliosis or loss of GFAP
has not yet completed in such a short
duration after an ischemic stroke. The
performance of the MR images in such
early change of stroke is also poor.
Although artificial neural net did help with
further analysis of MR images of stroke, it
depends on the knowledge of the original
images, histomorphology and
histochemistry of the ischemic lesions.
The purpose of this two-year study is to investigate the correlation of magnetic resonance imaging (MRI) and histomorphological changes in a focal brain ischemia model of rat.
In the first-year project, focal cerebral ischemia was produced with a predetermined duration. MR imaging is carried out with different pulse sequences of T1WI, T2WI, PDWI and DWI. Histomorphological study included histochemical stains with H/E, and GFAP. In the second year, we emphasized the effect of different post-stroke duration. The ¡§early¡¨ changes of the brain images as well as histochemistry were studied. We also performed artificial neural net analsysis on the images obtained in these two years. The purpose was to improve the power of the imaging technique in differentiating severity and stage of stroke.
The results showed in the acute stage of stroke, only T2WI and DWI are of great value in the detection of ischemic infarction. In histomorphological study, the H/E represented a more complete or later- stage change of ischemic infarction. GFAP revealed ischemic change of different severity and might indicate incomplete or earlier ischemic change.
However, the quantitative study revealed that even the most sensitive DWI was not able to show up all area with partial and complete ischemic change as in the histochmical stain of GFAP.
As for the earlier ischemic changes in histomorpho logy and MR image, the study revealed less satisfactory resutls. Neither H/E nor GFAP can reflect different severity of stroke. This is because neuroanl damage, reactive gliosis or loss of GFAP has not yet completed in such a short duration after an ischemic stroke. The performance of the MR images in such early change of stroke is also poor. Although artificial neural net did help with further analysis of MR images of stroke, it depends on the knowledge of the original
images, histomorphology and
histochemistry of the ischemic lesions.
Subjects
磁振影像
實驗性局部腦缺血
缺血半影區
組織型態學
類神經網路
Publisher
臺北市：國立臺灣大學醫學院神經科
Type
journal article
File(s)![Thumbnail Image]()
Loading...
Name
882314B002033M08.pdf
Size
67.57 KB
Format
Adobe PDF
Checksum
(MD5):9a8804f4cd23f3e7ce2aaa2260c5b9f1