Donate Help Contact The AHA Sign In Home
American Heart Association
Stroke
Search: search_blue_button Advanced Search
This Article
Right arrow Abstract Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Isaka, Y.
Right arrow Articles by Imaizumi, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Isaka, Y.
Right arrow Articles by Imaizumi, M.

(Stroke. 1997;28:354-357.)
© 1997 American Heart Association, Inc.


Articles

High Signal Intensity on T2-Weighted Magnetic Resonance Imaging and Cerebral Hemodynamic Reserve in Carotid Occlusive Disease

Yoshinari Isaka, MD; Keiko Nagano, MD; Masako Narita, MD; Keiichi Ashida, MD Masatoshi Imaizumi, MD

the Departments of Nuclear Medicine (Y.I.) and Internal Medicine (Y.I., K.N., M.N., K.A., M.I.), Osaka National Hospital (Japan).


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowSubjects and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Background and Purpose The importance of MR imaging in carotid artery disease is unclear. We evaluated the sensitivity and specificity of the high signal intensity changes on MR images for diagnosis of hemodynamically compromised unilateral internal carotid artery disease.

Methods We evaluated the association of high signal intensities on T2-weighted MR images with changes in cerebral perfusion reserve measured using 99mTc-hexamethylpropyleneamine oxime single-photon emission CT and acetazolamide in 23 patients.

Results Eleven patients had a type I response (normal flow and normal perfusion reserve), 8 patients had a type II response (normal flow and decreased perfusion reserve), and 4 patients had a type III response (decreased flow and decreased perfusion reserve). High signal intensities in the centrum semiovale (11/12) and/or posterior periventricular white matter (6/12) were frequently seen in the hemodynamically compromised groups. Extensive high signal intensities were associated with severely impaired cerebral circulation. MR imaging had high sensitivity (0.92) and specificity (1.0) in predicting hemodynamically compromised patients when we used the presence of T2 high intensity in the centrum semiovale as a criterion.

Conclusions The centrum semiovale T2 hyperintensities lateralized to the side of carotid occlusion are specific and sensitive for the presence and severity of hemodynamic compromise from carotid occlusive disease.


Key Words: acetazolamide • carotid artery thrombosis • cerebral ischemia • tomography, emission computed


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowSubjects and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
In carotid occlusive disease, the most common cause of cerebral ischemia is the embolic event from severe carotid atherosclerosis.1 Other mechanisms include a hemodynamic stroke secondary to critical reduction of cerebral perfusion pressure and/or an inadequate intracranial collateral blood supply associated with ICAO.2 CO2- or ACZ-induced stimulation of the cerebral vasomotors provides an approach to examine the reduction in perfusion reserve due to extracranial cerebrovascular occlusive disease.3 4 Use of resting and post-ACZ 99mTc-labeled HMPAO SPECT allows an objective assessment of regional vasoreactivity to ACZ.5 6

Compared with the functional brain imaging approaches such as SPECT, MR imaging provides higher signal-to-noise ratios and is a suitable method for detection of structural alterations in the brain. However, the clinical relevance of MR images for diagnosis of hemodynamically compromised ICAO has not been fully appreciated.7 We compared the MR findings with the 99mTc-HMPAO SPECT findings with ACZ challenge in 23 patients with unilateral ICAO to address whether T2 high intensity on MR imaging is a sensitive and specific indicator of the hemodynamic status of the cerebral circulation.


*    Subjects and Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Subjects and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Between April 1992 and May 1996, MR imaging and 99mTc-HMPAO SPECT were done on 23 patients (11 men and 12 women aged 45 to 75 years [mean, 58.2 years]) with carotid occlusive disease (14 transient ischemic attacks and 9 minor strokes) who were selected according to the following criteria: hypodense area <1.5 cm diameter on a CT scan of the brain; and bilateral, biplane, common carotid arteriography (<70 years, n=20) or MR angiography (>=70 years, n=3) showing unilateral ICAO and no abnormality in the MCA territories. Eleven age-matched healthy control subjects underwent ACZ-SPECT imaging to establish the range of normal values for right-to-left asymmetry in 99mTc-HMPAO CBF. All subjects gave informed consent before the study.

MR images were obtained using a 1.5-T superconducting unit (Magnetom H15, Siemens). Multiple spin-echo sequences were done with a repetition time of 4500 milliseconds and an echo time of 90 milliseconds to produce T2-weighted images. Transaxial images of 8-mm-thick sections of the brain with a 2-mm gap were obtained. Two-dimensional Fourier transformation of images and a 256x256 data-acquisition matrix were used.

After MRI study, 296 MBq of 99mTc-HMPAO was injected intravenously, and 5 minutes later, 1 g ACZ was administered. After that, the baseline SPECT data were obtained. An additional dose of 592 MBq of 99mTc-HMPAO was injected immediately after stopping the baseline data acquisition. Five minutes later, the second SPECT data acquisition was started. After reconstruction,8 the baseline tomographic images were subtracted from the images in the second step to obtain ACZ images.

The MR images were individually visually interpreted by two observers blinded to the SPECT results but with clinical information of the occluded side. Focal high intensities on MR scans were qualitatively defined in the transaxial images for 10 brain regions from four tomographic slices (Fig 1Down). The defined brain areas were delineated from the supraventricular (CS), high ventricular (CR and anterior and posterior white matters at the level of the body of the lateral ventricle and the CR), midventricular (anterior and posterior white matters at the level of the body of the lateral ventricle and the genu of corpus callosum), and low ventricular slices (putamen, thalamus, and anterior and posterior white matters at the level of the basal ganglia).9 They include internal watershed areas, basal ganglia, subcortical white matters, and periventricular areas.10 11 For each ventricular level, each white matter was assigned to anterior and posterior regions adjoining the frontal horn or the occipital horn of the lateral ventricle, respectively. For confidence of signal intensity lateralization (occluded versus contralateral hemisphere), measures of the distinct zone of high attenuation (namely, size [diameter], appearance [focal, multiple or confluent], and extent of visualization) were analyzed. Asymmetry was considered to be present if all of the above measures were larger in the occluded side than in the contralateral side.12 After each reader completed his interpretation, the two readers compared their results and arrived at a consensus reading for each patient's individual 10-brain region. The first agreement reached on the diagnostic interpretation on MR images was in 41 of 43 regions for regions with asymmetry, 157 of 187 for regions without asymmetry, and 198 of 230 for all regions ({kappa}=0.64).



View larger version (110K):
[in this window]
[in a new window]
 
Figure 1. T2-weighted MR images of supraventricular (S), high ventricular (H), midventricular (M), and low ventricular (L) slices.

For semiquantitative measurements, a pair of circular ROIs (1 cm in diameter) was symmetrically drawn over the middle CS, and the difference of T2 relaxation time13 within the ROI was calculated as the AI14 with the following equation: AI=(T2 in Occluded Side-T2 in Contralateral Side)/Mean T2 of Both Sides. For SPECT evaluations, pairs of ROIs in the cortical territory of the MCA were defined in each hemisphere from four consecutive slices, and a hemispheric count density of the 99mTc was calculated as the average of the four slices weighted by ROI size. The hemispheric asymmetry of CBF was calculated in the same manner as the MR study.

The statistical significance of the relationship between the three SPECT categories of cerebral hemodynamic status and the frequency of side-to-side asymmetry in T2 high intensity were determined by {chi}2 analysis of a 3x10 contingency table. Subgroup analysis of these relationships was done with 2x2 contingency tables with two-tail probabilities from Fisher's exact test.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
*Results
down arrowDiscussion
down arrowReferences
 
Based on AI values outside the mean±2 SD determined from the 11 healthy control subjects, we defined three types of SPECT responses to an ACZ challenge in the patients (Fig 2Down): (1) normal perfusion before (%AI=0.8±1.0) and after (%AI=0.2±1.6) ACZ (11 of 23 [48%]); (2) normal perfusion before ACZ (%AI=-0.8±0.6) with hypoperfusion after ACZ (%AI=-12.5±3.3) (8 of 23 [35%]); and (3) hypoperfusion before ACZ (%AI=-4.8±1.4) and additional hypoperfusion after ACZ (%AI=-13.5±3.4) (4 of 23 [17%]).



View larger version (71K):
[in this window]
[in a new window]
 
Figure 2. Representative 99mTc-HMPAO SPECT patterns before and after ACZ administration.

There was a significant relationship among the three SPECT categories of ACZ responses and the presence of regional asymmetry of T2 high intensity in the occluded hemisphere ({chi}2=29.8, P=.04, df=18) (Fig 3Down). Type II (Fig 4Down) patients showed a higher frequency of T2 asymmetries in the CS (7/8 versus 0/11) and LP (4/8 versus 1/11) compared with type I patients; in type III patients (Fig 5Down), the frequency of asymmetries was significantly higher than that in the type I in the CS (4/4 versus 0/11), LP (3/4 versus 1/11), CR (4/4 versus 2/11), and MA (2/4 versus 0/11). The criterion of presence of T2 asymmetry in the CS in the occluded hemisphere had a sensitivity of 0.92 (11/12) and specificity of 1.0 (11/11) for identifying patients with hemodynamically compromised ICAO (types II and III).



View larger version (33K):
[in this window]
[in a new window]
 
Figure 3. The relationship between the location of T2 high intensity and the three SPECT categories.



View larger version (148K):
[in this window]
[in a new window]
 
Figure 4. MR image of a 58-year-old man with right ICAO and transient ischemic attack. Small high intensities are seen in the right middle CS. Baseline and post-ACZ 99mTc-HMPAO SPECTs are shown in Fig 2Up (type II).



View larger version (100K):
[in this window]
[in a new window]
 
Figure 5. MR images of a 78-year-old man with right ICAO and minor stroke. There are marked increases of high intensity in the right CS, right CR, and the right posterior and posterior periventricular white matter areas. Cerebral atrophy and the dilatation of the lateral ventricle are also seen. Baseline and post-ACZ 99mTc-HMPAO SPECTs are shown in Fig 2Up (type III).

Post-ACZ CBF asymmetry and T2 asymmetry in the CS correlated excellently. There was also a significant inverse correlation between baseline CBF asymmetry and T2 asymmetry in the CS (Fig 6Down).



View larger version (18K):
[in this window]
[in a new window]
 
Figure 6. A, %AI in T2 versus %AI in post-ACZ CBF; B, %AI in T2 versus %AI in baseline CBF.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
*Discussion
down arrowReferences
 
We found a close association between the types of responses to an ACZ challenge and the distribution pattern of MR T2 high intensity in the hemisphere ipsilateral to the ICAO. There were significant differences in the frequencies of T2 high intensity in the CS and the LP between ICAO patients with normal baseline CBF and impaired cerebral perfusion reserve (type II) and ICAO patients without cerebral perfusion impairment (type I). As cerebral perfusion pressure falls further, the compensatory mechanisms of the brain will be exhausted and resting CBF will begin to fall (type III). T2 high intensities in type III extended over areas (ie, not only in the CS and LP but also in the CR and the MA) larger than those in type II.

In a postmortem study of the border zone from atherosclerotic carotid disease, Romanul and Abramowicz15 observed old infarcts in anterior border zones and recent larger infarcts within the territory of the major cerebral vessels. The most likely possibility is that lowered perfusion reserve initially produces cerebral ischemia in the most distal branches from ICAO such as the CS or the border-zone region between the MCA and PCA (LP), where perfusion pressure is lowest,16 and that with disease progression and decline in both resting perfusion and perfusion reserve, blood flow becomes insufficient more proximally, producing larger lesions.

Weiller et al5 reported that the infarcts were located in the most distal parts of territories of the lateral lenticulostriate group and of anterior choroidal artery in patients with hemodynamically compromised ICAO or MCA occlusion. Nakano et al17 reported that MCA occlusive disease frequently produces CR and/or striatocapsular infarct but was never associated with CS lesions, which usually were associated with ICAO. The question that now arises is whether a common mechanism can explain the MR high intensities in the CS and the CR in patients with ICAO. Supraventricular white matter of the CS corresponds to the border zone between the superficial territories of the anterior cerebral artery and MCA, and periventricular white matter of the CR corresponds to the border zone between the deep and superficial territories of the MCA.18 In patients with poor capacity for vasodilatation such as type III, CBF would be more sensitive to decreases in cerebral perfusion pressure. Critically reduced perfusion pressure and/or an insufficient collateral supply in the lenticulostriate arteries are presumably implicated in the processes of the striking increase of the high intensities in the CR in these patients. In individual cases of ICAO, the specific action of the carotid artery occlusion that causes small vessel alterations in the MCA territory is still unknown.

We did not find differences in T2 asymmetry in the Pu, Th, and the white matters of HA, HP, MP, and LA among the three hemodynamic types. The high intensities detected in these regions may be due to pathological processes that are independent of hemodynamic compromise. Cerebral arteries are subject to luminal narrowing from arteriosclerosis induced by age, hypertension, and other degenerative vascular conditions.10 11 It is important to determine whether patients with nonhemodynamic ICAO show a characteristic pattern on MR images.

In conclusion, our results show that the location and the degree of the high intensities in T2-weighted MR images accurately reflect the hemodynamic status of the cerebral circulation in patients with unilateral ICAO. We believe that the presence of high intensity in the CS on the occluded hemisphere provides the best criterion for identifying a hemodynamically compromised subgroup of individuals who may have transient ischemic attack or minor stroke due to a marginal basal level of perfusion that drops to a level inadequate to maintain function.


*    Selected Abbreviations and Acronyms
 
ACZ = acetazolamide
AI = asymmetry index
CBF = cerebral blood flow
CR = corona radiata
CS = centrum semiovale
HA = high ventricular anterior white matter
HMPAO = hexamethylpropyleneamine oxime
HP = high ventricular posterior white matter
ICAO = internal carotid artery occlusion
LA = low ventricular anterior white matter
LP = low ventricular posterior white matter
MA = midventricular anterior white matter
MCA = middle cerebral artery
MP = midventricular posterior white matter
PCA = posterior cerebral artery
Pu = putamen
ROI = region of interest
SPECT = single-photon emission CT
Th = thalamus


*    Acknowledgments
 
This work was supported by a grant for medical research from the Smoking Research Foundation in Japan. We wish to thank M. Harada for his invaluable support and technical help.


*    Footnotes
 
Reprint requests to Yoshinari Isaka, MD, Department of Nuclear Medicine, Osaka National Hospital, Hoenzaka 2-1-14, Chuo-ku, 540, Osaka, Japan. E-mail yoshisk@onh.go.jp.

Received July 30, 1996; revision received October 29, 1996; accepted October 29, 1996.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
up arrowDiscussion
*References
 
1. Ringelstein EB, Zeumer H, Angelou D. The pathogenesis of strokes from internal carotid artery occlusion: diagnostic and therapeutic implications. Stroke.. 1983;14:867-875.[Abstract/Free Full Text]

2. Powers WJ, Press GA, Grubb RL Jr, Gado M, Raichle ME. The effect of hemodynamically significant carotid artery disease on the hemodynamic status of the cerebral circulation. Ann Intern Med.. 1987;106:27-35.

3. Ringelstein EB, Sievers C, Ecker S, Schneider PA, Otis SM. Noninvasive assessment of CO2-induced cerebral vasomotor response in normal individuals and patients with internal carotid artery occlusion. Stroke.. 1988;19:963-969.[Abstract/Free Full Text]

4. Ringelstein EB, Van Eyck S, Mertens I. Evaluation of cerebral vasomotor reactivity by various vasodilating stimuli: comparison of CO2 to acetazolamide. J Cereb Blood Flow Metab.. 1992;12:162-168.[Medline] [Order article via Infotrieve]

5. Weiller C, Ringelstein EB, Reiche W, Buell U. Clinical and hemodynamic aspects of low-flow infarcts. Stroke.. 1991;22:1117-1123.[Abstract/Free Full Text]

6. Knop J, Thie A, Fuchs C, Siepmann G, Zeumer H. 99mTc-HMPAO SPECT with acetazolamide challenge to detect hemodynamic compromise in occlusive cerebrovascular disease. Stroke.. 1992;23:1733-1742.[Abstract/Free Full Text]

7. Yamauchi H, Fukuyama H, Yamaguchi S, Miyoshi T, Kimura J, Konishi J. High-intensity area in the deep white matter indicating hemodynamic compromise in internal carotid artery occlusive disorders. Arch Neurol.. 1991;48:1067-1071.[Abstract/Free Full Text]

8. Chang LT. A method for attenuation correction in radionuclide computed tomography. IEEE Trans Nucl Sci.. 1978;25:638-643.

9. Mills CM, De Groot J, Posin JP. Magnetic Resonance Imaging: Atlas of the Head, Neck, and Spine. Philadelphia, Pa: Lea & Febiger Inc; 1988.

10. Bladin CF, Chambers BR. Clinical features, pathogenesis, and computed tomographic characteristics of internal watershed infarction. Stroke.. 1993;24:1925-1932.[Abstract/Free Full Text]

11. Moody DM, Bell MA, Challa VR. Features of the cerebral vascular pattern that predict vulnerability to perfusion or oxygenation deficiency: an anatomic study. Am J Neuroradiol.. 1990;11:431-439.[Abstract]

12. Erkinjuntti T, Gao F, Lee DH, Eliasziw M, Merskey H, Hachinski VC. Lack of differences in brain high intensities between patients with early Alzheimer's disease and control subjects. Arch Neurol.. 1994;51:260-268.[Abstract/Free Full Text]

13. Seiderer M, Krappel W, Moser E, Hahn D, Schmiedek P, Buell U, Kirsch C-M, Lissner J. Detection and quantification of chronic cerebrovascular disease: comparison of MR imaging, SPECT, and CT. Radiology.. 1989;170:545-548.[Abstract/Free Full Text]

14. Mosmans PCM, Veering MM, Jonkman EJ. ISI values and interhemispheric differences in patients with ischemic cerebrovascular disease: correlation with clinical and angiographic findings. Stroke.. 1986;17:58-64.[Abstract/Free Full Text]

15. Romanul FCA, Abramowicz A. Changes in brain and pial vessels in anterior borderzones: a study of 13 cases. Arch Neurol.. 1964;11:40-65.

16. Yamauchi H, Fukuyama H, Kimura J, Konishi J, Kameyama M. Hemodynamics in internal carotid artery occlusion examined by positron emission tomography. Stroke.. 1990;21:1400-1406.[Abstract/Free Full Text]

17. Nakano S, Yokogami K, Ohta H, Goya T, Wakisaka S. CT-defined large subcortical infarcts: correlation of location with site of cerebrovascular occlusive disease. AJNR Am J Neuroradiol.. 1995;16:1581-1585.[Abstract]

18. Bogousslavsky J, Regli F. Centrum ovale infarcts: subcortical infarction in the superficial territory of the middle cerebral artery. Neurology.. 1992;42:1992-1998.[Abstract/Free Full Text]




This article has been cited by other articles:


Home page
StrokeHome page
S. W. Yong, O. Y. Bang, P. H. Lee, and W. Y. Li
Internal and Cortical Border-Zone Infarction: Clinical and Diffusion-Weighted Imaging Features
Stroke, March 1, 2006; 37(3): 841 - 846.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
I. Momjian-Mayor and J.-C. Baron
The Pathophysiology of Watershed Infarction in Internal Carotid Artery Disease: Review of Cerebral Perfusion Studies
Stroke, March 1, 2005; 36(3): 567 - 577.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
J. M. Provenzale, R. Jahan, T. P. Naidich, and A. J. Fox
Assessment of the Patient with Hyperacute Stroke: Imaging and Therapy
Radiology, November 1, 2003; 229(2): 347 - 359.
[Abstract] [Full Text] [PDF]


Home page
Arch NeurolHome page
R. H. C. Bisschops, C. J. M. Klijn, L. J. Kappelle, A. C. van Huffelen, and J. van der Grond
Prevalence and Volume of Internal Border Zone Lesions in Patients With Impaired Cerebral Carbon Dioxide Vasomotor Reactivity: A Follow-up Study
Arch Neurol, September 1, 2003; 60(9): 1233 - 1236.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
K. Ogasawara, T. Okuguchi, M. Sasoh, M. Kobayashi, H. Yukawa, K. Terasaki, T. Inoue, and A. Ogawa
Qualitative versus Quantitative Assessment of Cerebrovascular Reactivity to Acetazolamide Using iodine-123-N-Isopropyl-p-Iodoamphetamine SPECT in Patients with Unilateral Major Cerebral Artery Occlusive Disease
AJNR Am. J. Neuroradiol., June 1, 2003; 24(6): 1090 - 1095.
[Abstract] [Full Text] [PDF]


Home page
Arch NeurolHome page
R. H. C. Bisschops, C. J. M. Klijn, L. J. Kappelle, A. C. van Huffelen, and J. van der Grond
Association Between Impaired Carbon Dioxide Reactivity and Ischemic Lesions in Arterial Border Zone Territories in Patients With Unilateral Internal Carotid Artery Occlusion
Arch Neurol, February 1, 2003; 60(2): 229 - 233.
[Abstract] [Full Text] [PDF]


Home page
NeurologyHome page
White matter hyperintensities and neuropsychological outcome following carbon monoxide poisoning
Neurology, May 28, 2002; 58(10): 1525 - 1532.



Home page
StrokeHome page
J.R. Marstrand, E. Garde, E. Rostrup, P. Ring, S. Rosenbaum, E.L. Mortensen, and H.B.W. Larsson
Cerebral Perfusion and Cerebrovascular Reactivity Are Reduced in White Matter Hyperintensities
Stroke, April 1, 2002; 33(4): 972 - 976.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
C. P. Derdeyn, A. Khosla, T. O. Videen, S. M. Fritsch, D. L. Carpenter, R. L. Grubb Jr, and W. J. Powers
Severe Hemodynamic Impairment and Border Zone-Region Infarction
Radiology, July 1, 2001; 220(1): 195 - 201.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Neuroradiol.Home page
J. Hyoung Kim, S. Joo Lee, T. Shin, K. Hun Kang, P. Youb Choi, J. Hee Kim, J. Chul Gong, N.-C. Choi, and B. Hoon Lim
Correlative Assessment of Hemodynamic Parameters Obtained with T2*-weighted Perfusion MR Imaging and SPECT in Symptomatic Carotid Artery Occlusion
AJNR Am. J. Neuroradiol., August 1, 2000; 21(8): 1450 - 1456.
[Abstract] [Full Text]


Home page
StrokeHome page
M. Suzuki, A. Wada, Y. Isaka, K. Maki, T. Inoue, and Y. Fukuhara
Cerebral Magnetic Resonance T2 High Intensities in End-Stage Renal Disease
Stroke, December 1, 1997; 28(12): 2528 - 2531.
[Abstract] [Full Text]


This Article
Right arrow Abstract Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Isaka, Y.
Right arrow Articles by Imaizumi, M.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Isaka, Y.
Right arrow Articles by Imaizumi, M.