Detection of crossed cerebellar diaschisis in hyperacute ischemic stroke using arterial spin-labeled MR imaging
Detection of crossed cerebellar diaschisis in hyperacute ischemic stroke using arterial spin-labeled MR imaging
Koung Mi Kang 1
Chul-Ho Sohn 1
Seung Hong Choi 1
Keun-Hwa Jung 0
Roh-Eul Yoo 1
Tae Jin Yun 1
Ji-hoon Kim 1
0 Department of Neurology, Clinical Research Institute, Seoul National University Hospital , Seoul , Republic of Korea, 4 Department of Radiology, Seoul National University Boramae Hospital , Seoul , Republic of Korea
1 Institute of Radiation Medicine, Seoul National University Medical Research Center , Seoul , Republic of Korea, 2 Department of Radiology, Seoul National University Hospital , Seoul , Republic of Korea
Background and purpose Arterial spin-labeling (ASL) was recently introduced as a noninvasive method to evaluate cerebral hemodynamics. The purposes of this study were to assess the ability of ASL imaging to detect crossed cerebellar diaschisis (CCD) in patients with their first unilateral supratentorial hyperacute stroke and to identify imaging or clinical factors significantly associated with CCD.
Editor: Jean-Claude Baron, "INSERM", FRANCE
Data Availability Statement: All relevant data are
within the paper and its Supporting Information
Funding: The authors received no specific funding
for this work.
Competing interests: The authors have declared
that no competing interests exist.
Materials and methods
We reviewed 204 consecutive patients who underwent MRI less than 8 hours after the onset
of stroke symptoms. The inclusion criteria were supratentorial abnormality in
diffusionweighted images in the absence of a cerebellar or brain stem lesion, bilateral supratentorial
infarction, subacute or chronic infarction, and MR angiography showing vertebrobasilar
system disease. For qualitative analysis, asymmetric cerebellar hypoperfusion in ASL images
was categorized into 3 grades. Quantitative analysis was performed to calculate the
asymmetric index (AI). The patients' demographic and clinical features and outcomes were
recorded. Univariate and multivariate analyses were also performed.
A total of 32 patients met the inclusion criteria, and 24 (75%) presented CCD. Univariate
analyses revealed more frequent arterial occlusions, higher diffusion-weighted imaging
(DWI) lesion volumes and higher initial NIHSS and mRS scores in the CCD-positive group
compared with the CCD-negative group (all p < .05). The presence of arterial occlusion and
the initial mRS scores were related with the AI (all p < .05). Multivariate analyses revealed
that arterial occlusion and the initial mRS scores were significantly associated with CCD
ASL imaging could detect CCD in 75% of patients with hyperacute infarction. We found that
CCD was more prevalent in patients with arterial occlusion, larger ischemic brain volumes, and higher initial NIHSS and mRS scores. In particular, vessel occlusion and initial mRS score appeared to be significantly related with CCD pathophysiology in the hyperacute stage.
Diaschisis refers to secondary neuronal depression in an area of the brain caused by loss of
connections with a remote injured brain area [
]. Crossed cerebellar diaschisis (CCD) is
defined as decreased blood flow and metabolism contralateral to a damaged supratentorial
]. The most common mechanism of CCD has been suggested to involve disruption of
the corticopontocerebellar tract [2±4]. Previous studies have suggested that CCD occurs
secondary to supratentorial infarction and that it is a prognostic indicator of neurological
improvement and clinical outcomes after infarction [5±8]. Therefore, it is necessary to identify
a simple, noninvasive method to detect and intensively study CCD.
Since Baron et al first described CCD in a PET study [
], most studies have used positron
emission tomography (PET) or single photon emission computed tomography (SPECT) to
detect CCD [2,6,8,10±14]. Some studies have examined CCD using dynamic susceptibility
contrast (DSC) perfusion MRI [15±17], but this method requires an intravenous injection of
an exogenous MR contrast media. Arterial spin-labeling (ASL) is becoming increasingly used
as a completely noninvasive perfusion-weighted MRI technique to evaluate cerebral
hemodynamics. Because ASL uses endogenous arterial water as a freely diffusible tracer (instead of
exogenous radioisotopes), it represents a noninvasive alternative to SPECT and PET for
studying CCD [
Recently, a prospective study using ASL reported a 52% CCD detection rate of the subacute
stage in ischemic stroke, which is in line with the results of a PET/SPECT series [
addition, we previously reported that the asymmetric index (AI) of CCD obtained using ASL was
significantly correlated with the AI obtained using SPECT, suggesting that ASL could be used
as a noninvasive alternative to SPECT for evaluating CCD [
]. Therefore, in the previous
study, ASL was validated both against a gold-standard perfusion method (i.e., SPECT) and for
its ability to detect CCD.
Thus far, most studies have assessed CCD in subacute to chronic infarctions. Although
some studies using SPECT and PET have noted that CCD can occur in hyperacute middle
cerebral artery (MCA) territory infarctions [
], the exact frequency of CCD in hyperacute
ischemic stroke is unknown. In addition, while the development of CCD in acute stroke
has been shown to be closely related to the volume of supratentorial hypoperfusion or the
location of infarction [
], the pathophysiology and relevant clinical factors of CCD in
hyperacute stroke have never been studied. The purposes of this study were to evaluate
the ability of ASL perfusion imaging to detect CCD in patients with first unilateral
supratentorial hyperacute stroke and to identify the relevant imaging or clinical factors of CCD
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Materials and methods
This study was approved by the institutional review board of the Seoul National University
Hospital. The institutional review board waived the need for written informed consent from
the participants due to the retrospective nature of this study.
In a review of our radiology database between October 2014 and July 2015, we identified 204
consecutive patients who visited our hospital less than 8 hours after the onset of stroke
symptoms and who underwent hyperacute stroke MRI upon admission. Patients were excluded for
the following reasons: (1) no diffusion restriction region (n = 95) [
]; (2) any abnormality
in the cerebellum or brain stem on fluid-attenuated inversion recovery (FLAIR) or
diffusionweighted imaging (DWI) (n = 30); (3) bilateral supratentorial diffusion-restricted lesions
(n = 9); (4) subacute or chronic infarction (n = 22); (5) vertebrobasilar disease on MR
angiography (n = 2); (6) poor-quality ASL images (n = 10); or (7) MRI using machines other than a
Discovery MR750w 3.0T (n = 4).
Patient demographic data, stroke risk factors, last known normal time, stroke pathogenesis
and the use of tissue plasminogen activator (tPA) before MRI examination were systematically
recorded for all patients after completion of the diagnostic work-ups [
]. Stroke severity was
assessed at the time of the admission, at discharge, and after 3 months using the National
Institutes of Health Stroke Scale (NIHSS), with scores ranging from 0 (normal) to 42 (death), and
the modified Rankin Scale (mRS), with scores ranging from 0 (normal) to 6 (death). The mRS
score before the stroke episode was also determined for all patients.
All patients underwent MR examination using a 3.0-T unit (Discovery MR750w 3.0T; GE
Medical Systems, Milwaukee, WI, USA) with a 32-channel head coil. The imaging protocol for
hyperacute stroke included DWI (b value = 0, 1000 sec/mm2), FLAIR, DSC perfusion, ASL
perfusion, and 3-dimensional time-of-flight MR angiography. The MRI protocol for
hyperacute stroke with no contrast included the same sequences except for DSC perfusion.
For DWI and perfusion lesion volumes, DWI and DSC perfusion were processed using
commercially available software approved by the Food and Drug Administration (Olea Sphere;
Olea Medical SAS, La Ciotat, France), and Tmax maps were automatically generated. A
blockcirculant singular value decomposition technique was used to perform the DSC analysis [
For the DWI lesion volume, a map of the infarction was generated using a threshold method
(apparent diffusion coefficient < 600×10−6 mm2/s) [
]. For perfusion lesion volume, regions
of hypoperfusion were defined as Tmax > 6 seconds [
ASL perfusion imaging was performed using a 3D pseudo continuous ASL pulse sequence
provided by GE Healthcare. ASL images were acquired for 2 seconds of labeling followed by
1.525 seconds of labeling delay. Background suppression was performed by using saturation
pulses with crusher gradients applied below the labeling plane, allowing for an increase in the
sharpness of the bolus [
]. The image acquisition consisted of a stack of interleaved 3D fast
spin echo spiral readouts. Each spiral arm included 512 sampling points in the k-space, and a
total of 8 interleaves (arms) were separately acquired. In addition, reconstruction was
performed with the following parameters: section thickness, 5 mm; intersection gap, 0 mm;
sections, 30; field of view, 240 x 240 mm; and matrix, 128 x 128, by using a Fourier transform
algorithm after the k-space data were regridded (TR, 4446 ms; TE, 9.9 ms; number of
excitations, 2). The signal intensity change between the labeled image and the control image was
fitted to a model, from which a quantitative perfusion map of CBF was obtained. Fermi
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windowing for ringing artifact reduction was used to filter the images, and grad warp was not
applied. The scan time was 3 minutes and 11 seconds. The detailed acquisition parameters for
any sequence other than ASL are described in S1 Table.
We used two methods for evaluating CCD: a qualitative analysis for the presence or absence of
CCD (CCD positive and CCD negative groups) and a quantitative analysis for the degree of
asymmetry of cerebellar perfusion using the AI.
Qualitative analysis. To detect CCD, a qualitative analysis was performed using the CBF
map from ASL imaging. Two radiologists with 7 and 27 years of experience in neuroradiology
who were blinded to CCD status and stroke location evaluated the cerebellum from bottom to
]. The signal intensity of the affected cerebellum was assigned one of the following 3
grades: grade I, in which the affected cerebellum was isointense to the unaffected cerebellum;
grade II, in which the affected cerebellum was slightly hypointense to the unaffected
cerebellum; and grade III, in which the affected cerebellum was markedly hypointense to the
unaffected cerebellum (Fig 1). A grade of II or III was considered a positive CCD diagnosis [
For the CCD-positive group, the laterality of the cerebellar hypoperfusion was checked
whether it was contralateral to the supratentorial stroke or not.
Quantitative analysis. For the quantitative analysis, the CBF map based on ASL was used
to assess the AI. Circular regions of interest measuring 25 mm in diameter were manually
Fig 1. Representative ASL images for each visual grade (upper row) and diffusion-weighted images showing supratentorial
infarction for each case (lower row). (A) Grade I, no demonstrable asymmetric perfusion in the cerebellum. Diffusion-weighted image in
the lower row shows hyperacute infarction in the left temporal lobe (arrow). (B) Grade II, the affected right cerebellum is slightly hypointense
to the unaffected left cerebellum. Hyperacute infarction is seen in the posterior limb of the left internal capsule (arrow). (C) Grade III, the
affected right cerebellum is markedly hypointense to the unaffected left cerebellum. Diffusion-weighted image in the lower row demonstrates
hyperacute infarction in the left frontotemporal lobe (arrow). (D) An example of circular region of interests in the cerebellum. The calculated
asymmetry index was 3.7 in A, 9.5 in B, and 34.2 in C.
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drawn on the affected and mirrored cerebellar hemispheres (Fig 1). The degree of CCD was
measured on a slice of an axial scan representing the greatest cerebellar asymmetry [
AI between the affected cerebellar hemisphere (A) and unaffected cerebellar hemisphere (U)
was calculated as follows [
To assess the reproducibility of the measurements, the AI was measured twice by the same
reader at 2-week intervals. The mean value of the repeated measurements was used to
determine the AI.
All images were analyzed with respect to the following: (1) presence or absence of arterial
occlusion on MR angiography; (2) DWI lesion volume; (3) perfusion lesion volume; and (4)
perfusion-diffusion mismatch ratio.
To assess inter-observer agreement for the presence of CCD in the qualitative analysis, the
kappa statistic was used [
]. κ values of < 0.20, 0.21±0.40, 0.41±0.60, 0.61±0.80, and > 0.81
indicated poor, fair, moderate, good and excellent agreement, respectively. Intra-observer
reproducibility for the AIs was assessed by calculating intraclass correlation coefficients (ICCs)
]. ICCs of < 0.40, 0.40±0.59, 0.60±0.74, and > 0.75 indicated poor, fair, good and excellent
reproducibility, respectively, [
]. We also performed a receiver operating characteristic
(ROC) analysis to evaluate the diagnostic performance of the AI compared with that of visual
grading of CCD.
To compare the CCD-positive and CCD-negative groups, descriptive data were analyzed
using Fisher's exact test for categorical variables, and the Mann-Whitney U test was used to
analyze non-categorical data. Thereafter, multivariate stepwise logistic regression analysis was
performed to identify factors independently associated with CCD using p < .1 in the
univariate analysis, which was considered to indicate potential factors associated with CCD [
Regression analysis was used for AI and all clinical and MR imaging factors. All quantitative
variables were included in the linear regression as continuous variables. All variables with P
values of < .1 based on simple regression were then evaluated by stepwise multiple regression
analyses to identify factors independently associated with AI.
Statistical analyses were performed with commercially available software (SPSS, version
20.0 for Windows, SPSS, Chicago, Ill; and MedCalc, version 126.96.36.199, MedCalc Software,
Mariakerke, Belgium). p < .05 was considered to indicate a statistically significant difference.
Thirty-two patients with first hyperacute unilateral supratentorial ischemic stroke were
enrolled in this study. All patients underwent MRI within a median time of 140 minutes
(interquartile range, 110±182 minutes) after symptom onset. The patients' baseline characteristics
are provided in Table 1. One patient was excluded from perfusion lesion volume and
mismatch ratio analyses because he had previously undergone non-contrast hyperacute MRI due
to poor kidney function. The mRS scores of all patients before their stroke episodes were zero.
A stroke severity score at 3 months was not available for 3 patients because they were
transferred to other hospitals.
In the qualitative analysis, asymmetric cerebellar hypointensity in ASL (grade II or III) was
observed in 24 of 32 patients (75%) by both observers 1 and 2. Two cases classified as grades I
and II by observer 1 were classified as grades II and I by observer 2, respectively. The
inter5 / 13
MRI, magnetic resonance imaging; CCD, crossed cerebellar diaschisis; IQR, interquartile range; tPA, tissue plasminogen activator; DWI, diffusion-weighted
imaging; ICA, internal cerebral artery; MCA, middle cerebral artery; PCA, posterior cerebral artery; NIHSS, National Institutes of Health Stroke Scale; and
mRS, modi®ed Rankin Scale
² Mann-Whitney U test
³ Fisher's exact test
*Signi®cant variables for each model.
observer agreement was excellent (κ value: 0.864). In the CCD-positive group, the cerebellar
hypoperfusion was contralateral to the supratentorial stroke.
CCD was more frequently observed in patients with arterial occlusion than in those with no
occlusion (p = .01). The DWI lesion volume and initial NIHSS and MRS scores were
significantly greater in the CCD-positive group than in the CCD-negative group (p = .015, p = .049,
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and p = .006) (Table 1). No significant differences in age, sex, time from stroke onset to MRI,
risk factors, cause of stroke, or location of arterial occlusion were observed between the
CCDpositive and CCD-negative groups (Table 1). The perfusion lesion volume and mismatch ratio
were not significantly different between the two groups. Multivariate stepwise logistic
regression analysis was then performed using the presence of arterial occlusion, DWI lesion volume,
perfusion lesion volume, and initial NIHSS and MRS scores (p < .01). The results revealed
that arterial occlusion and initial mRS scores were significantly associated with CCD (odds
ratio 21.94, 95% confidence interval 1.42±339.52, p = .027 for arterial occlusion; odds ratio
4.14; 95% confidence interval 1.20±14.30; p = .025 for initial mRS score). Representative
images of CCD in patients with hyperacute ischemic stroke are shown in Fig 2.
In the quantitative analysis, intra-observer reproducibility was excellent for AI
(ICC = 0.962). In the ROC analysis, the AI demonstrated good general agreement with the
results of the qualitative analysis. When the grading scale was used as the reference standard,
an AI of 51% corresponded to 92% sensitivity and 100% specificity (p < .001).
Linear regression analyses revealed that the presence of arterial occlusion and the initial
mRS score were significantly related with AI (p = .004 and p = .023) (Table 2). Next, diabetes
mellitus (as a risk factor), large-artery atherosclerosis (as a cause of stroke), presence of
occlusion, MCA occlusion (as a site of occlusion), perfusion lesion volume, perfusion-diffusion
mismatch ratio, and initial mRS score were included in multivariate stepwise regression analysis
(p < .01). The results revealed that arterial occlusion was the variable most significantly
Fig 2. A 71-year-old man with a history of sudden onset left-sided weakness. (A) Diffusion-weighted
image demonstrating hyperacute infarction in the right basal ganglia without (B) signal change on the
fluidattenuated inversion recovery image. (C) Arterial occlusion is noted in MR angiography at the right M1
(arrow). (D) ASL image of the cerebellum showing hypoperfusion in the contralateral cerebellar hemisphere
(grade III and AI of 44.48).
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MRI, magnetic resonance imaging; tPA, tissue plasminogen activator; DWI, diffusion-weighted imaging; ICA, internal cerebral artery; MCA, middle cerebral
artery; PCA, posterior cerebral artery; NIHSS, National Institutes of Health Stroke Scale; and mRS, modi®ed Rankin Scale
*Signi®cant variables (p < .05)
associated with AI in patients with hyperacute ischemic stroke (estimates, 13.11; 95% CI, 4.74
to 21.48; p = .003).
A significant finding of this study was that CCD was identified in ASL images in 75% of
patients who had experienced their first unilateral supratentorial hyperacute infarction. CCD
was detected with excellent inter-rater agreement and quantified using AIs with excellent
reproducibility. Univariate analysis of the associations of the clinical characteristics and MRI
findings with the visually assessed CCD revealed that DWI lesion volume, initial NIHSS and
mRS scores and arterial occlusion were correlated with the development of CCD.
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Furthermore, perfusion lesion volume, perfusion-diffusion mismatch ratio, initial mRS score
and arterial occlusion were correlated with the measured AI. Finally, multivariate analyses
revealed that arterial occlusion and initial mRS score were independent factors related to the
visually assessed CCD in hyperacute stroke. In addition, arterial occlusion corresponded to an
independent significant association with the measured AI.
A major strength of this study was the use of an ASL method that had been previously
validated against SPECT for CCD detection [
]. This feature strengthens the impact of our
findings, as any data acquired using a non-validated ASL method would not represent valuable
results for CCD due to unknown performance in the posterior circulation. We observed CCD
in 24 of 32 patients (75%) using ASL, and the shortest time between symptom onset and CCD
was 63 minutes. Although previous studies have reported that CCD can occur in hyperacute
infarctions within the first 3 hours after the onset of stroke symptoms [
], there have been
no reports regarding the frequency of CCD in hyperacute stroke. Prior studies using SPECT,
DSC-perfusion and CT-perfusion reported that the incidence of CCD in acute stroke was less
than 50% [
In our study, arterial occlusion was the variable most strongly associated with CCD and AI.
Of the 24 CCD-positive patients, 17 (71%) showed definite arterial occlusion on MR
angiography, and 7 did not. Although arterial occlusion was not observed on MR angiography in these
7 patients, distal occlusion was presumed in one case because we observed vascular
hyperintensity on FLAIR and susceptibility vessel signs at the M2 segment of the MCA near the
infarcted areas. Additionally, one case showed severe stenosis at the left proximal ICA.
Furthermore, one case exhibited possible spontaneous partial recanalization before the initial MR
imaging due to the presence of residual stenosis at the right anterior cerebral artery and a
hyperemic response within the area on ASL images corresponding to the diffusion-restricted
]. The other three cases had small infarctions in the posterior limb of the internal
capsule and the corona radiata (DWI lesion volumes of 1.1 mL, 0.4 mL, and 0.5 mL).
Regarding the relationship between CCD and DWI lesion volume, previous studies using
SPECT or DSC perfusion in acute infarction reported that the initial DWI lesion volume was
significantly associated with the AI and that the mean volume of the DWI abnormality was
significantly higher in CCD-positive cases [
]. Regarding the relationship between CCD and
abnormal perfusion, a previous study using DSC perfusion in patients with acute infarction
showed that the mean volume of the supratentorial time-to-peak abnormality was significantly
higher in CCD-positive cases . Additionally, a study using dynamic CT perfusion imaging
in patients with acute infarction revealed that the supratentorial ischemic volume, the degree
of perfusion reduction, and the AI were strongly and significantly correlated [
]. The results
of our study agree with the aforementioned studies, as our univariate analysis revealed that the
DWI lesion volume was significantly higher in the visually CCD-positive cases compared with
the CCD-negative cases. However, perfusion lesion volume revealed a p value of 0.066 related
with AI. In addition, multivariate analyses revealed that the DWI lesion volume was not
independently associated with either CCD or AI. Given the small sample size of our study, the
results regarding DWI lesion volume and perfusion lesion volume are exploratory, and a larger
sample size should be investigated in future studies.
In our study, multivariate analyses revealed that the initial mRS score was independently
related to the presence of CCD and that it had a marginally significant association with the AI.
However, there was no significant difference in the stroke severity scores at the time of
followup between the CCD-positive and CCD-negative groups. Additionally, no significant
relationship was observed between the stroke severity scores at the 3-month follow-up and the AI.
These findings are in agreement with the results of previous studies using SPECT or PET,
which demonstrated contralateral cerebellar hypoperfusion on early scans but that CCD at the
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earlier time points was not correlated with the clinical scores at later time points [
Therefore, according to these investigations, the presence and degree of CCD in hyperacute
stroke do not appear to be suitable predictors of disease outcome. However, it must be noted
that most of the cohort showed neurologic improvement at follow-up. The median NIHSS and
mRS scores at discharge were 1 and 2 in the CCD-positive group, and both scores were 0 in
the CCD-negative group, whereas at the 3-month follow-up, the median NIHSS and mRS
scores for both groups were all 0. In light of this evidence, further studies including patients
with various prognoses are warranted to evaluate the potential of CCD as a biomarker of
The present study has several limitations. First, this was a retrospective study, and the
possibility of selection bias cannot be excluded. However, because our hospital required patients
clinically suspected of having an ischemic episode to undergo immediate hyperacute stroke
MRI within a short timeframe, we assumed that the vast majority of patients with hyperacute
ischemic infarction were included in this study. Second, the sample size was small, and the
distribution was skewed. Therefore, it is difficult to make a final conclusion based on the results
presented here. Although our study provides valuable data on consecutively admitted patients,
a further study including a larger cohort is required to generalize our results. Third, we used
MR angiography as the reference standard to confirm arterial occlusion because conventional
digital subtraction angiography was performed on a limited number of patients who met the
indications for intra-arterial thrombolysis. Thus, there was a CCD-positive case in which
peripheral occlusion was not delineated on MR angiography, although distal occlusion was
suspected on FLAIR and susceptibility-weighted images. Fourth, although all of the patients
underwent MRI as soon as possible after admission, spontaneous recanalization was possible
before the initial MRI, which might have resulted in underestimation of the prevalence of
arterial occlusion. Fifth, because ASL is technique dependent, it is important to note that the AI
can vary according to the protocol and equipment used when considering the use of this
technique for follow-up. The ordinal validation of the sequence was performed on 1.5T GE
scanners in the previous report [
]. In the present work, a 3T GE scanner was used for the same
sequence. Different parameters are typically used on 3T scanners; however, because higher
field strength scanners carry additional benefits, including improved the signal
intensity±tonoise ratio and greater background suppression, similar or better performance using 3T
scanners can be expected.
In conclusion, in the present study, we detected a high frequency (75%) of CCD in patients
with hyperacute ischemic stroke using ASL imaging. We found that CCD was more prevalent
in patients with arterial occlusion, larger ischemic brain volumes, and higher initial NIHSS
and mRS scores. In particular, the presence of CCD and the measured AI were significantly
associated with arterial occlusion and initial mRS scores. Therefore, the presence of CCD in
hyperacute ischemic stroke may imply a greater probability of arterial occlusion. In addition,
CCD in patients with hyperacute ischemic stroke could be associated with initial functional
S1 Table. MR imaging parameters.
S1 File. Dataset.
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The help of Dr. Moon Jung Hwang in reviewing ASL protocol is gratefully acknowledged.
Conceptualization: CHS KMK.
Data curation: KMK CHS KHJ REY TJY.
Formal analysis: KMK SHC.
Investigation: KMK CHS.
Methodology: KMK CHS SHC.
Project administration: KMK CHS.
Resources: KMK CHS KHJ REY TJY.
Supervision: KMK CHS JhK SWP.
Validation: KMK CHS.
Writing ± original draft: KMK.
Writing ± review & editing: KMK CHS KHJ.
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1. von Monakow C. Die lokalisation im grosshirn und der abbau der funktion durch kortikale herde . Wiesbaden: Verlag von JF Bergmann ; 1914 .
2. Pantano P , Baron JC , Samson Y , Bousser MG , Derouesne C , Comar D . Crossed cerebellar diaschisis . Further studies. Brain . 1986 ; 109 : 677 ± 694 . PMID: 3488093
3. Meyer JS , Obara K , Muramatsu K. Diaschisis . Neurol Res . 1993 ; 15 : 362 ± 366 . PMID: 7907401
4. Gold L , Lauritzen M. Neuronal deactivation explains decreased cerebellar blood flow in response to focal cerebral ischemia or suppressed neocortical function . Proc Natl Acad Sci U S A . 2002 ; 99 : 7699 ± 7704 . https://doi.org/10.1073/pnas.112012499 PMID: 12032346
5. Serrati C , Marchal G , Rioux P , Viader F , Petit-Taboue MC , Lochon P , et al. Contralateral cerebellar hypometabolism: a predictor for stroke outcome ? J Neurol Neurosurg Psychiatry . 1994 ; 57 : 174 ± 179 . PMID: 8126499
6. De Reuck J , Decoo D , Lemahieu I , Strijckmans K , Goethals P , Van Maele G. Crossed cerebellar diaschisis after middle cerebral artery infarction . Clin Neurol Neurosurg . 1997 ; 99 : 11 ± 16 . PMID: 9107461
7. Takasawa M , Watanabe M , Yamamoto S , Hoshi T , Sasaki T , Hashikawa K , et al. Prognostic value of subacute crossed cerebellar diaschisis: single-photon emission CT study in patients with middle cerebral artery territory infarct . AJNR Am J Neuroradiol . 2002 ; 23 : 189 ± 193 . PMID: 11847040
8. Sobesky J , Thiel A , Ghaemi M , Hilker RH , Rudolf J , Jacobs AH , et al. Crossed cerebellar diaschisis in acute human stroke: a PET study of serial changes and response to supratentorial reperfusion . J Cereb Blood Flow Metab . 2005 ; 25 : 1685 ± 1691 . https://doi.org/10.1038/sj.jcbfm. 9600162 PMID: 15931159
9. Baron J , Bousser M , Comar D , Castaigne P . " Crossed cerebellar diaschisis" in human supratentorial brain infarction . Trans Am Neurol Assoc . 1980 ; 105 : 459 ± 461 .
10. Kim SE , Choi CW , Yoon BW , Chung JK , Roh JH , Lee MC , et al. Crossed-cerebellar diaschisis in cerebral infarction: technetium-99m-HMPAO SPECT and MRI . J Nucl Med . 1997 ; 38 : 14 ± 19 . PMID: 8998142
11. Kamouchi M , Fujishima M , Saku Y , Ibayashi S , Iida M. Crossed cerebellar hypoperfusion in hyperacute ischemic stroke . J Neurol Sci . 2004 ; 225 : 65 ± 69 . https://doi.org/10.1016/j.jns. 2004 . 07 .004 PMID: 15465087
12. Komaba Y , Mishina M , Utsumi K , Katayama Y , Kobayashi S , Mori O . Crossed cerebellar diaschisis in patients with cortical infarction: logistic regression analysis to control for confounding effects . Stroke . 2004 ; 35 : 472 ± 476 . https://doi.org/10.1161/01.STR. 0000109771 .56160.F5 PMID: 14739422
13. Liu Y , Karonen JO , Nuutinen J , Vanninen E , Kuikka JT , Vanninen RL . Crossed cerebellar diaschisis in acute ischemic stroke: a study with serial SPECT and MRI . J Cereb Blood Flow Metab . 2007 ; 27 : 1724 ± 1732 . https://doi.org/10.1038/sj.jcbfm. 9600467 PMID: 17311077
14. Kajimoto K , Oku N , Kimura Y , Kato H , Tanaka MR , Kanai Y , et al. Crossed cerebellar diaschisis: a positron emission tomography study with L-[methyl-11C]methionine and 2-deoxy-2-[18F]fluoro-D-glucose . Ann Nucl Med . 2007 ; 21 : 109 ± 113 . PMID: 17424977
15. Yamada H , Koshimoto Y , Sadato N , Kawashima Y , Tanaka M , Tsuchida C , et al. Crossed cerebellar diaschisis: assessment with dynamic susceptibility contrast MR imaging . Radiology . 1999 ; 210 : 558 ± 562 . https://doi.org/10.1148/radiology.210.2.r99fe02558 PMID: 10207444
16. Lin D , Kleinman J , Wityk R , Gottesman R , Hillis A , Lee A , et al. Crossed cerebellar diaschisis in acute stroke detected by dynamic susceptibility contrast MR perfusion imaging . AJNR Am J Neuroradiol . 2009 ; 30 : 710 ± 715 . https://doi.org/10.3174/ajnr.A1435 PMID: 19193758
17. Madai VI , Altaner A , Stengl KL , Zaro-Weber O , Heiss WD , von Samson-Himmelstjerna FC , et al. Crossed cerebellar diaschisis after stroke: can perfusion-weighted MRI show functional inactivation&- quest . J Cereb Blood Flow Metab . 2011 ; 31 : 1493 ± 1500 . https://doi.org/10.1038/jcbfm. 2011 .15 PMID: 21386854
18. Chalela JA , Alsop DC , Gonzalez-Atavales JB , Maldjian JA , Kasner SE , Detre JA . Magnetic resonance perfusion imaging in acute ischemic stroke using continuous arterial spin labeling . Stroke . 2000 ; 31 : 680 ± 687 . PMID: 10700504
19. Detre JA , Leigh JS , Williams DS , Koretsky AP . Perfusion imaging . Magn Reson Med . 1992 ; 23 : 37 ± 45 . PMID: 1734182
20. Chen S , Guan M , Lian H-J , Ma L-J , Shang J-K , He S , et al. Crossed cerebellar diaschisis detected by arterial spin-labeled perfusion magnetic resonance imaging in subacute ischemic stroke . J Stroke Cerebrovasc Dis . 2014 ; 23 : 2378 ± 2383 . https://doi.org/10.1016/j.jstrokecerebrovasdis. 2014 . 05 .009 PMID: 25183560
21. Kang K , Sohn C-H , Kim B , Kim Y , Choi S , Yun T , et al. Correlation of asymmetry indices measured by arterial spin-labeling MR imaging and SPECT in patients with crossed cerebellar diaschisis . AJNR Am J Neuroradiol . 2015 ; 36 : 1662 ± 1668 . https://doi.org/10.3174/ajnr.A4366 PMID: 26228883
22. Gonzalez RG , Schaefer PW , Buonanno FS , Schwamm LH , Budzik RF , Rordorf G , et al. Diffusionweighted MR imaging: diagnostic accuracy in patients imaged within 6 hours of stroke symptom onset . Radiology . 1999 ; 210 : 155 ± 162 . https://doi.org/10.1148/radiology.210.1.r99ja02155 PMID: 9885601
23. Fiebach J , Schellinger P , Jansen O , Meyer M , Wilde P , Bender J , et al. CT and diffusion-weighted MR imaging in randomized order. Diffusion-weighted imaging results in higher accuracy and lower interrater variability in the diagnosis of hyperacute ischemic stroke . Stroke . 2002 ; 33 : 2206 ± 2210 . PMID: 12215588
24. Adams HP Jr, Bendixen BH , Kappelle LJ , Biller J , Love BB , Gordon DL , et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial . TOAST. Trial of Org 10172 in Acute Stroke Treatment. Stroke . 1993 ; 24 : 35 ± 41 . PMID: 7678184
25. Wu O , Østergaard L , Weisskoff RM , Benner T , Rosen BR , Sorensen AG . Tracer arrival timinginsensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix . Magn Reson Med . 2003 ; 50 : 164 ± 174 . https://doi. org/10.1002/mrm.10522 PMID: 12815691
26. Schlaug G , Siewert B , Benfield A , Edelman R , Warach S. Time course of the apparent diffusion coefficient (ADC) abnormality in human stroke . Neurology . 1997 ; 49 : 113 ± 119 . PMID: 9222178
27. Olivot J-M , M lynash M , Thijs VN , Kemp S , Lansberg MG , Wechsler L , et al. Optimal Tmax threshold for predicting penumbral tissue in acute stroke . Stroke . 2009 ; 40 : 469 ± 475 . https://doi.org/10.1161/ STROKEAHA.108.526954 PMID: 19109547
28. Mani S , Pauly J , Conolly S , Meyer C , Nishimura D. Background suppression with multiple inversion recovery nulling: applications to projective angiography . Magn Reson Med . 1997 ; 37 : 898 ± 905 . PMID: 9178242
29. Varoquaux A , Rager O , Lovblad K-O , Masterson K , Dulguerov P , Ratib O , et al. Functional imaging of head and neck squamous cell carcinoma with diffusion-weighted MRI and FDG PET/CT: quantitative analysis of ADC and SUV . Eur J Nucl Med Mol Imaging . 2013 ; 40 : 842 ± 852 . https://doi.org/10.1007/ s00259-013 -2351-9 PMID: 23436068
30. Kang KM , Lee JM , Yoon JH , Kiefer B , Han JK , Choi BI . Intravoxel incoherent motion diffusion-weighted MR imaging for characterization of focal pancreatic lesions . Radiology . 2014 ;
31. Kimura K , Sakamoto Y , Aoki J , Iguchi Y , Shibazaki K , Inoue T. Clinical and MRI predictors of no early recanalization within 1 hour after tissue-type plasminogen activator administration . Stroke . 2011 ; 42 : 3150 ± 3155 . https://doi.org/10.1161/STROKEAHA.111.623207 PMID: 21868738
32. Jeon YW , Kim SH , Lee JY , Whang K , Kim MS , Kim YJ , et al. Dynamic CT perfusion imaging for the detection of crossed cerebellar diaschisis in acute ischemic stroke . Korean J Radiol . 2012 ; 13 : 12 ± 19 . https://doi.org/10.3348/kjr. 2012 . 13 .1.12 PMID: 22247631
33. Wang DJ , Alger JR , Qiao JX , Hao Q , Hou S , Fiaz R , et al. The value of arterial spin-labeled perfusion imaging in acute ischemic stroke comparison with dynamic susceptibility contrast-enhanced MRI . Stroke . 2012 ; 43 : 1018 ± 1024 . https://doi.org/10.1161/STROKEAHA.111.631929 PMID: 22328551 34 . Laloux P , Richelle F , Jamart J , De Coster P , Laterre C . Comparative correlations of HMPAO SPECT indices, neurological score, and stroke subtypes with clinical outcome in acute carotid infarcts . Stroke . 1995 ; 26 : 816 ± 821 . PMID: 7740573