Cranio-Vertebral Junction Triangular Area: Quantification of Brain Stem Compression by Magnetic Resonance Images.
Chih-Chang ChangChing-Lan WuTsung-Hsi TuJau-Ching WuHsuan-Kan ChangPeng-Yuan ChangLi-Yu FayWen-Cheng HuangHenrich ChengPublished in: Brain sciences (2021)
(1) Background: Most of the currently used radiological criteria for craniovertebral junction (CVJ) were developed prior to the popularity of magnetic resonance images (MRIs). This study aimed to evaluate the efficacy of a novel triangular area (TA) calculated on MRIs for pathologies at the CVJ. (2) Methods: A total of 702 consecutive patients were enrolled, grouped into three: (a) Those with pathologies at the CVJ (n = 129); (b) those with underlying rheumatoid arthritis (RA) but no CVJ abnormalities (n = 279); and (3) normal (control; n = 294). TA was defined on T2-weighted MRIs by three points: The lowest point of the clivus, the posterior-inferior point of C2, and the most dorsal indentation point at the ventral brain stem. Receiver operating characteristic (ROC) analysis was used to correlate the prognostic value of the TA with myelopathy. Pre- and post-operative TA values were compared for validation. (c) Results: The CVJ-pathology group had the largest mean TA (1.58 ± 0.47 cm2), compared to the RA and control groups (0.96 ± 0.31 and 1.05 ± 0.26, respectively). The ROC analysis calculated the cutoff-point for myelopathy as 1.36 cm2 with the area under the curve at 0.93. Of the 81 surgical patients, the TA was reduced (1.21 ± 0.37 cm2) at two-years post-operation compared to that at pre-operation (1.67 ± 0.51 cm2). Moreover, intra-operative complete reduction of the abnormalities could further decrease the TA to 1.03 ± 0.39 cm2. (4) Conclusions: The TA, a valid measurement to quantify compression at the CVJ and evaluate the efficacy of surgery, averaged 1.05 cm2 in normal patients, and 1.36 cm2 could be a cutoff-point for myelopathy and of clinical significance.
Keyphrases
- magnetic resonance
- spinal cord
- rheumatoid arthritis
- newly diagnosed
- ejection fraction
- minimally invasive
- deep learning
- prognostic factors
- contrast enhanced
- resting state
- magnetic resonance imaging
- systemic lupus erythematosus
- functional connectivity
- ankylosing spondylitis
- computed tomography
- convolutional neural network
- brain injury
- coronary artery bypass
- atrial fibrillation
- subarachnoid hemorrhage
- systemic sclerosis
- single molecule
- data analysis