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2015 ; 7
(8
): 362-7
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Multidetector Computed Tomography and Magnetic Resonance Imaging Evaluation of
Craniovertebral junction Abnormalities
#MMPMID26417559
Dhadve RU
; Garge SS
; Vyas PD
; Thakker NR
; Shah SH
; Jaggi ST
; Talwar IA
N Am J Med Sci
2015[Aug]; 7
(8
): 362-7
PMID26417559
show ga
BACKGROUND: Craniovertebral junction (CVJ) abnormalities constitute an important
group of treatable neurological disorders with diagnostic dilemma. Their precise
diagnosis, identification of probable etiology, and pretreatment evaluation
significantly affects prognosis and quality of life of patients. AIMS: The study
was to classify various craniovertebral junction disorders according to their
etiology and to define the importance of precise diagnosis for pretreatment
evaluation with multidetector computed tomography (MDCT) and magnetic resonance
imaging (MRI). MATERIALS AND METHODS: This is a prospective observational study
of 62 patients referred to our department between October 2012 and September
2014. All patients suspected to have a craniovertebral junction disorder were
included in the study, from all age groups and both genders. Detailed clinical
history was taken. Radiographs of cervical spine were collected if available. All
patients were subjected to MDCT and/or MRI. RESULTS: In our study of 62 patients;
39 were males and 23 were females, with male to female ratio of 1.6:1. Most
common age group was 2(nd) -3(rd) decade (19 patients, 30.64%). Developmental
anomalies (33 patients, 53.22%) were the most common etiology group followed by
traumatic (10 patients, 16.12%), degenerative (eight patients, 12.90%), infective
(four patients, 6.45%), inflammatory and neoplastic (three patients each, 4.8%),
and no cause found in one patient. CONCLUSIONS: CVJ abnormalities constitute an
important group of treatable neurological disorders, especially in certain ethnic
groups and are approached with much caution by clinicians. Thus, it is essential
that radiologists should be able to make a precise diagnosis of craniovertebral
junction abnormalities, classify them into etiological group, and rule out
important mimickers on MDCT and/or MRI, as this information ultimately helps
determine the management of such abnormalities, prognosis, and quality of life of
patients.
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