syringomyelia distribution patterns on whole spine mr ...sumbaug/veterinary thermographic...
TRANSCRIPT
Morphometric Features of the Craniocervical Junction Region in Dogs with
Suspected Chiari-Like Malformation Based on Combined MR and CT
Imaging: 274 Cases (2007-2010)
Dominic J. Marino1, DVM, Diplomate ACVS, Diplomate, ACCT, CCRP
Catherine A. Loughin1, DVM, Diplomate ACVS, Diplomate, ACCT
Curtis W. Dewey1,2, DVM, MS, Diplomate ACVIM (Neurology), Diplomate ACVS, Leonard
J. Marino1, MD, FAAP, Joseph Sackman1, Martin L. Lesser1,3, PhD, EMT-CC, Meredith
Akerman3, MS
From The Canine Chiari Institute at Long Island Veterinary Specialists1, 163 South Service
Road, Plainview, NY 11803; the Department of Clinical Sciences2, College of Veterinary
Medicine, Cornell University, Ithaca, NY 14853; North Shore - LIJ Health System
Feinstein Institute for Medical Research3, Biostatistics Unit, 350 Community Drive,
Manhasset, NY 11030
Address correspondence to:
Dominic J. Marino, DVM, Diplomate ACVS, Diplomate, ACCT, CCRP
The Canine Chiari Institute at Long Island Veterinary Specialists,
163 South Service Road, Plainview, NY 11803
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Abstract
Objective-To objectively describe morphometric features of the craniocervical junction
region of dogs with suspected Chiari-like malformation (CLM) and to investigate for
associations between these features and the occurrence of other malformations in this
region.
Design-Retrospective study.
Animals-274 dogs.
Procedures-Magnetic resonance (MR) and computed tomographic (CT) images from
patients evaluated for Chiari-like malformation (CLM) between 2007 and 2010 were
reviewed. Three regions of neural tissue compression were assessed: cerebellar
compression (CC); ventral compression at the level of the C1/C2 articulation, also
termed “medullary kinking” (MK); and dorsal compression (DC) at the level of the C1/C2
articulation. A compression index (CI) was calculated for all abnormal regions for each
dog. Multiple logistic regression analysis was performed (p<0.05) to ascertain whether
CI values for the different regions of compression were associated with the incidence of
other craniocervical junction abnormalities.
Results- All dogs had some level of CC. Approximately 68% of dogs had MK and 38% of
dogs had DC. Approximately 28% of dogs also had evidence of atlanto-occipital
overlapping (AOO). Breed and CC were the only significant predictors of AOO (p<0.0001
and p< 0.0092). CKCS had nearly a five-fold decrease in risk of AOO, and the risk of AOO
nearly doubled for every 10% increment in CC.
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Conclusions and Clinical Relevance-A substantial percentage (28%) of suspected CLM
cases have AOO as the anatomic abnormality responsible for CC. Compression index
values may help differentiated subtypes of craniocervical junction abnormalities in dogs.
Introduction
Craniocervical junction abnormalities (CJAs) in small breed dogs are being
increasingly recognized as common and challenging disorders.1-5 In particular, Chiari-like
malformation (CLM), the canine analog of human Chiari type I malformation, has
emerged in recent years as the possible cause of major health problems in several small-
breed dogs, most notably the Cavalier King Charles spaniel (CKCS).6-15 The term CJA is
used in human medicine and serves as an “umbrella” term for a variety of
malformations that occur in the craniocervical region of small dogs. In veterinary
medicine, the term “Chiari-like malformation” or CLM has been widely used to describe
constrictive disorders at the cervicomedullary junction that are apparent on MR
imaging. Most definitions of CLM include the presence of an abnormally shaped
supraoccipital bone that leads to a rostrally directed compression of the caudal
cerebellum. It is often difficult to impossible to discern what specific structure or
structures cause the cerebellar compression on MR imaging, as bone is poorly visualized
on MR images. Rostral compression of the cerebellum evident on an MR image in dogs
is often assumed to be due to a malformed supraaoccipital bone, and such cases are
assigned a diagnosis of CLM. In a CJA disorder of humans known as basilar invagination
(BI), a rostrally displaced C1 dorsal arch can cause cerebellar compression.16,17 A similar
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condition has been recently described in dogs and is referred to as atlanto-occipital
overlapping (AOO).2 Computed tomography is often performed along with MR imaging
in human cases of CJA in order to ascertain what specific structures are causing neural
compression. 16,17 Similarly, the authors have been routinely performing CT immediately
following the MR imaging of canine patients with CJA. Conditions included under CJA
include, but are not limited to: CLM5-11, atlantooccipital instability (AO)19, atlantoaxial
instability (AA)20,21, occipitoatlantoaxial malformations (OAA)22,23, atlantooccipital
overlapping (AOO)2 and dens abnormalities (DA).3,24,25
The wide variation in skull size and shape among small breed dogs presents
unique challenges when attempting to quantify morphologic abnormalities of the cranial
cavity as they relate to intracranial disease as well as diseases of the cervical spine.
Additionally, concurrent disease is commonly identified in dogs imaged for CLM
1,2,5,9,11,14,18 and in humans with Chiari type I malformation26,27 and is thought to be a
contributing factor in people experiencing a poor outcome after having a foramen
magnum decompression for the treatment of Chiari type 1 malformation.28,29
Techniques to develop objective assessment data relative to total brain volume,
total cranial volume, cranial and caudal fossa volumes using linear and 3 dimensional
measurements of MR and CT images have been reported.5,30-32 Results of some studies
have identified positive associations between the ratio of caudal fossa/total cranial
volume and neurologic signs5; volume ratios and linear measurements31 and decreased
caudal fossa volume; and the presence of syringomyelia30, while others found no
association between decreased caudal fossa volume and the presence of
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syringomyelia.5,32 In the authors’ clinical experience, cerebellar compression (CC),
defined as an indentation of the cerebellum,15 medullary kinking (MK) defined as an
elevation of the medulla at the cervicomedullary junction by the dens3,8,15,24,25 , and
dorsal compression of the C1/C2 spinal cord (DC)5,9 are common findings on MR
screening images of dogs for suspected CLM. Several studies have attempted to
determine if an association between CC5,30,32,33, MK5,33, DC5,9 individually and the presence
of clinical signs or syringomyelia exists; however analysis proved difficult with low case
numbers resulting in conflicting results. To the authors’ knowledge associations among
CC, MK, and DC have not been examined individually or collectively in a large-scale
study. Furthermore, the presence of AOO as either a primary condition or a co-morbid
disease in dogs with suspected CLM has not been investigated. The purpose of this
study was to retrospectively evaluate objective measurements obtained as a
compression index of CC, MK, and DC in dogs imaged with MR and CT for suspected CLM
and to report any associations between CC, MK, DC and the presence of other CJAs.
Materials and Methods
Only dogs with CLM based on MRI (CC present) were included in this study. Cavalier
King Charles Spaniels were recruited from the general population in the United States by
advertising a low-cost screening program at The Canine Chiari Institute at Long Island
Veterinary Specialists. Additionally, dogs of breeds other than CKCS were included,
resulting in 274 dogs being enrolled in this study. All dogs had a neurologic examination,
complete blood count, and serum biochemistry panel within 14 days before
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participating. A detailed history from the owner was recorded. All dogs had cervical
radiographs, 3.0 Tesla MR imaging of the brain and entire spinal cord, and multidetector
CT imaging of the skull from the nose through C3 and subsequent 3D reconstruction.
Each dog was premedicated with torbugesic (0.2 mg/kg IV), atropine (0.08 mg/kg IV),
followed by induction with propofol (11 mg/kg IV) and maintenance with isoflurane and
oxygen. Mean arterial blood pressure, end tidal CO2, ventilatory rate, temperature and
heart rate were maintained within physiologic limits during the testing period.
Imaging specifications
Each complete MRI study was performed with a Philips 3.0 Tesla magnet and consists of
T2-weighted sagittal views from the nose to the sacrum. Patients were placed in dorsal
recumbencey with the head in partial flexion (between 100 to 138 degrees) mimicking
the standing CKCS craniocervical angle. Imaging of the brain consisted of a T2-weighted
sagittal, T2-weighted axial, and a T1-weighted Flair axial, followed by T2-weighted axial
views of the cervical, thoracic and lumbar regions. With dogs in sternal recumbencey
with the head in partial flexion (between 100 to 138 degrees) mimicking the standing
CKCS craniocervical angle, CT (Marconi Mx8000, Marconi, Medical Systems Inc.,
Cleveland, OH) evaluation was performed at 140kV and 150mAs using a bone
reconstruction filter. Using helical acquisition, 1 mm collimated contiguous images were
collected. A bone algorithm of window width 3000 Hounsfield units and window length
of 500 Hounsfield units and 3-D reconstruction were used to interpret the images.
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All images (CT and MR) were reviewed by two of the authors (DJM, CAL). Compression
was defined as indentation of the subarachnoid space and/or parenchyma by adjacent
soft tissue or bone. Objective measurements of each type of compression (CC, MK, DC)
were made by determining the compression length (CL) by measuring the distance from
the outer limit of the subarachnoid space to the greatest point of compression. A
compression index for MK and DC was used to take into account the different size dogs
included in the study and was calculated by dividing the CL by the diameter of the
adjacent normal portion of the cervical spinal cord with the subarachnoid space,
determined by measuring the distance between two parallel lines placed at the outer
limit of the subarachnoid space adjacent to the site of compression and multiplying by
100 (Figure 1 & 2). For the CC compression index, the CL was divided by the diameter of
the cerebellum determined by drawing a circle over the image of the cerebellar
perimeter and multiplied by 100 (Figure 3). The diagnosis of AOO was confirmed using
CT with 3-dimensional CT reconstruction as previously described (Figure 4a &b).2
Statistical methods
The primary statistical objective was to estimate the probability of other CJAs as a
function of one or more of the following four potential “predictors”: presence of DC,
presence of MK, CC compression index and breed of dog (CKCS vs. non-CKCS) in 274
dogs presenting with suspected CLM.
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Multiple logistic regression was used to model the probability of other CJAs as a function
of breed and the specific factor (DC, MK, CC compression index). After fitting the logistic
models to the data, receiver operating characteristic (ROC) curves were computed for
each predictor separately for CKCS and non-CKCS. In order to find an “optimal” cutoff
point (e.g., above which the compression type would be classified as AOO), the
Euclidean distance from the “best” ROC point (0,1) to the ordered pair “(1-specificity,
sensitivity)” corresponding to each value of the selected predictor was calculated. The
value of the predictor corresponding to the shortest distance was taken as the “optimal”
cutoff point.34
A result was considered statistically significant if p<0.05.
Results
Two-hundred seventy four dogs were included in the study. Two hundred and
sixteen of 274 dogs (78.8%) were CKCS and 58 of 274 (21.2%) non-CKCS.
The following breeds were noted: CKCS (216), Yorkshire Terrier (15), Chihuahua (11),
Maltese (7), Pomeranian (4), Pug (3), Boston Terrier (3), Miniature Poodle (3), Mixed
Breed Dog (2), Shih-Tzu (2), Beagle (1), Affenpinscher (1), Brussels Griffon (1), French
Bull Dog (1), Maltipoo (1), Miniature Dachshund (1), Papillon (1), Tibetian Spaniel (1),
and. There were 119 males (43.4%) and 155 females (56.6%). The median age was 21
months, ranging from 5 to 132 months and the median weight was 7.3 kg, ranging from
1.4-16.8 kg.
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Since this was a study of dogs with suspected CLM, all dogs had some degree of CC.
There were 187 of 274 dogs (68.2%) with concurrent MK, and 104 of 274 dogs (37.9%)
with concurrent DC. Based upon 3D reconstructed CT images, 76 of 274 dogs (27.7%)
with CC had AOO, rather than the typical CLM (i.e., cerebellar compression was from C1,
not supraoccipital bone).
Prior to conducting the primary statistical analyses, the investigators
estimated intra- and interobserver reliability of their measurements by randomly
selecting scans from 15 dogs and computing the appropriate intraclass correlations
(ICC). Each investigator (DM and CL) measured DC, MK, and CC in each dog on two
blinded occasions and blinded to each other. For measurements DC and MK, the
intraobserver variation ranged from 0.94 to 0.99, indicating outstanding repeat
reliability. For CC, the range was 0.51 to 0.74. Similarly, for interobserver variation, the
ICC ranged from 0.93 to 0.99 for DC and MK, but ranged lower, 0.52 to 0.70 for CC.
Univariable logistic regression was first applied to each of the variables. Breed
(p<0.0001) and CC compression index (p<0.0032) were significantly associated with
AOO, but DC (p<0.25) and MK (p<0.14) were not. When all four predictor variables
(breed, DC, MK and CC compression index) were included in one logistic regression
model, once again, only breed (p<0.0001) and CC compression index (p<0.0092) were
(jointly) significant as predictors of AOO. (See Table 1.) The final model was revised to
include only breed and AOO. Based on this model, CKCS had an approximately five-fold
reduction in the risk of AOO as compared to non-CKCS (p<0.0001, OR=0.208) and the
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risk of AOO increased by a factor of 1.07 for every percentage unit increase in CC. An
alternative way to summarize the CC result is that for every 10 percentage unit increase
of CC, the risk of AOO nearly doubled (1.0710 = 1.97)).. This model was used to compute
predicted probabilities of AOO (Table 2).
An optimal cutoff point for CC to predict AOO was determined as described in the
Methods section. For CKCS, a dog would be classified as AOO if CC>16.1%; for Non-
CKCS, the cutoff is CC>12.3%.
DiscussionThe presence of more than one CJA in dogs with suspected CLM1-3,5,9,11,15,18 and people
with Chiari malformation26-29 has been reported; however, the high prevalence of
multiple areas of neural compression in dogs with CLM has not been reported in a large
scale study. There were 187 of 274 dogs (68.2%) with concurrent MK, and 104 of 274
dogs (37.9%) with concurrent DC. In addition, 76 of 274 dogs (27.7%) had CT-confirmed
AOO. These findings underscore the need for thorough diagnostic evaluation including
MRI and CT imaging to completely assess the magnitude and complexity of CJA in dogs
with suspected CLM. Failure to address concurrent CJAs in people having surgery for
Chiari malformation can lead to suboptimal results.28,29 The authors suspect that a
similar scenario may exist in dogs that are surgically treated for suspected CLM. Results
of a large-scale study of the effect on outcome of concurrent CJA in dogs having surgery
for CLM is currently underway. In the human literature, the relationship between
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various CJA and Chiari malformation has been described in detail.17,28,35-37 In veterinary
medicine, several authors have speculated that a causal relationship between CC, MK,
DC, and AOO exists; 1-3,5 however, none has been documented. The breed distribution
and median weight (7.3 kg, ranging from 1.4-16.8 kg) of dogs in our study is consistent
with previous results reflecting CJAs are predominantly conditions affecting small breed
dogs. 2,5,7-9,11,14,38 The proportion of CKCS dogs versus non-CKCS dogs is disproportionately
high because the recruitment of clinical cases included CKCS breed clubs, thus the actual
prevalence of CKCS dogs cannot be determined.
Univariable logistic regression results indicate breed (p<0.0001) and CC compression
index (p<0.0032) were significantly associated with AOO. When all four predictor
variables (breed, DC, MK and CC compression index) were included in one logistic
regression model, once again, only breed (p<0.0001) and CC compression index
(p<0.0092) were (jointly) significant as predictors of AOO. Basilar invagination, the
human analogue to AOO in dogs, has been reported to further exacerbate the
overcrowding of the posterior fossa in human patients with Chiari malformation and
BI.39 The impact of AOO on the treatment of dogs having surgery for CLM is beyond the
scope of this study but consideration should be given to its effect on caudal fossa
overcrowding when generating a treatment plan. An optimal cutoff point for CC to
predict AOO for CKCS dog would be classified as AOO if CC>16.1%; for non-CKCS, the
cutoff is CC>12.3%.
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There were 187 of 274 dogs (68.2%) with concurrent MK. Dorsal position of the
dens resulting in spinal cord compression has been reported in dogs with CLM3,5 and was
found 66% of 64 dogs evaluated in a recent study.5 In human patients with Chiari
malformation, 26.4% had DA29 with females more commonly affected in one report.40
When MK was analyzed alone with univariable logistic regression and later with all four
predictor variables included in one logistic regression model, it was not significantly
associated with AOO. In human patients, kinking of the brain stem secondary to DA has
been reported to alter both cerbrospinal fluid (CSF) dynamics, local blood flow, and
cause compression myelopathy resulting in various clinical signs attributable to
brainstem compression.28,29,41 Recent reports stress the importance of stretch related
myelopathy in the development of clinical signs.42-45 Stretching of the axolemma may
result in several degrees of injury including the loss of microtubules and neurofilaments,
loss of axon transport, and accumulations of axoplasmic material called a retraction
ball.42-44,46-49 Axon retraction ball accumulation or axon bulbs are seen in stretch injury
associated with BI42-44,50 and “Shaken Baby Syndrome”.51,52 Current recommendations for
human patients with Chiari malformation and MK include decompression of the MK by
ventral cervical spinal fusion to restore the clivo-axial angle and thus lesson or eliminate
the tractional injury to the cervical spinal cord followed by a subsequent foramen
magnum decompression.53 Clinical studies are in progress to assess the results of ventral
decompression and stabilization with foramen magnum decompression with
cranioplasty in dogs with CLM and MK.
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There were 104 of 274 dogs (37.9%) with concurrent DC. Dorsal compression of
the spinal cord at the C1/C2 intervertebral space has been reported in dogs with
CJA.2,5,6,11,54,55 Although the exact etiology has not been established,
lymphocytic/plasmacytic inflammation, fibrosis and ossification of the soft tissues have
been reported on histopathology.5,6 In the author’s experience, the focal area of
compression is best visualized on sagittal T2-weighted images of the craniocervical
junction and may represent hypertrophy of the ligamentum flavum, dura or osseous
compression secondary to malformation or vertebral malarticulation. When DC was
analyzed alone with univariable logistic regression and later with all four predictor
variables included in one logistic regression model, it was not significantly associated
with AOO.
The formation of DC may be by differing mechanisms in CKCS dogs versus other
small breed dogs as it relates to dogs with AOO and CLM. The malarticulation between
the occipital condyles, atlas and axis appear to contribute to the formation of the dorsal
compression seen at the C1/C2 intervertebral space. The significance of DC and its
impact on clinical outcome is unknown at this time. It is reasonable to assume
significant dorsal compression can have detrimental effects by the same mechanisms
responsible for other CJA pathologic sequelae: disturbance of normal CSF flow patterns,
axonal compression and altered blood flow. Consideration should be given to further
diagnostics to assess for AOO and more robust treatment planning when DC is identified
in dogs with CLM.
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When the final logistic regression model was revised to include only breed and
AOO, CKCS had an approximately five-fold reduction in the risk of AOO as compared to
non-CKCS (p<0.0001, OR=0.208) and the risk of AOO increased by a factor of 1.07 for
every percentage unit increase in OH. Thus, for every 10 percentage unit increase of OH,
the risk of AOO nearly doubled (1.0710 = 1.97). Additional diagnostics including CT scan
have been recommended in dogs with AOO to best evaluate the extent of disease and
to formulate a comprehensive treatment plan.2
Because the CJA seen in dogs are typically dynamic lesions, changes in patient
position during imaging from mild extension and flexion are recommended for complete
assessment.2,17 Dogs in this study were placed in dorsal recumbencey with the head in
partial flexion (between 100 to 138 degrees) mimicking the standing CKCS craniocervical
angle for MR imaging. This limitation may affect the accurate determination of CJA. As
part of a larger study, imaging patients in multiple positions is in progress, however the
significant increase in imaging time may preclude clinical application.
In conclusion, objective measurements were successfully obtained in the form of
a CC, MK, and DC in dogs (CKCS and non CKCS) with suspected CLM. Only CC
compression index and breed were significant as predictors of AOO. The CKCS had an
approximately five-fold reduction in the risk of AOO as compared to non-CKCS and for
every 10 percentage unit increase of CC, the risk of AOO nearly doubled.
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Figure Legend
Figure 1. Medullary Kink compression index.
Figure 2. Dorsal Compression index.
Figure 3. OH Compression index.
Figure 4. AOO as seen with 3D reconstruction. Position of C1 vertebral body residing
partially within the cranium.
Table 1: Results of Multiple Logistic Regression Model
1919
447448449450451452453454455456457458459460461462463464465
466467468469470471472473474475476477478479
480
Effect DF EstimateStandard
Error p-value
Odds Ratio (OR)
95% WaldConfidence
Limits
Intercept 1 -0.8938 0.5612 0.1113
CKCS vs .non-CKCS 1 -1.6530 0.3539 <.0001 0.191 (0.096, 0.383)
DC (Present vs. Absent) 1 -0.2859 0.3233 0.3765 0.751 (0.399, 1.416)
MK (Present vs. Absent) 1 0.1742 0.3241 0.5909 1.190 (0.631, 2.247)
OH compression index 1 0.0686 0.0263 0.0092 1.071 (1.017, 1.128)
Table 2: Predicted Probabilities of AOO for CKCS and non-CKCS Dogs at Varying Levels
of OH
OH Compression Index (%) CKCS Non-CKCS
5% 0.1037 0.3568
10% 0.1395 0.4374
20% 0.2415 0.6043
30% 0.3847 0.7500
40% 0.5511 0.8549
50% 0.7069 0.9204
2020
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482
483
484