Cranio-Vertebral Junction Triangular Area: Quantification of Brain Stem Compression by Magnetic Resonance Images Article Swipe
Chih-Chang Chang
,
Ching-Lan Wu
,
Tsung-Hsi Tu
,
Jau‐Ching Wu
,
Hsuan-Kan Chang
,
Peng-Yuan Chang
,
Li-Yu Fay
,
Wen‐Cheng Huang
,
Henrich Cheng
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/brainsci11010064
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/brainsci11010064
(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.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/brainsci11010064
- https://www.mdpi.com/2076-3425/11/1/64/pdf?version=1609933693
- OA Status
- gold
- Cited By
- 7
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3118824867
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- OpenAlex ID
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https://openalex.org/W3118824867Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/brainsci11010064Digital Object Identifier
- Title
-
Cranio-Vertebral Junction Triangular Area: Quantification of Brain Stem Compression by Magnetic Resonance ImagesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-06Full publication date if available
- Authors
-
Chih-Chang Chang, Ching-Lan Wu, Tsung-Hsi Tu, Jau‐Ching Wu, Hsuan-Kan Chang, Peng-Yuan Chang, Li-Yu Fay, Wen‐Cheng Huang, Henrich ChengList of authors in order
- Landing page
-
https://doi.org/10.3390/brainsci11010064Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-3425/11/1/64/pdf?version=1609933693Direct link to full text PDF
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YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2076-3425/11/1/64/pdf?version=1609933693Direct OA link when available
- Concepts
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Medicine, Magnetic resonance imaging, Receiver operating characteristic, Nuclear medicine, Myelopathy, Rheumatoid arthritis, Cutoff, Radiology, Spinal cord, Internal medicine, Quantum mechanics, Psychiatry, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
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2025: 1, 2024: 3, 2023: 1, 2022: 2Per-year citation counts (last 5 years)
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28Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.quantify | 244 |
| abstract_inverted_index.surgery, | 254 |
| abstract_inverted_index.surgical | 197 |
| abstract_inverted_index.(control; | 85 |
| abstract_inverted_index.Moreover, | 219 |
| abstract_inverted_index.arthritis | 73 |
| abstract_inverted_index.correlate | 128 |
| abstract_inverted_index.currently | 5 |
| abstract_inverted_index.developed | 14 |
| abstract_inverted_index.enrolled, | 54 |
| abstract_inverted_index.operating | 121 |
| abstract_inverted_index.patients, | 198, 260 |
| abstract_inverted_index.reduction | 222 |
| abstract_inverted_index.resonance | 21 |
| abstract_inverted_index.two-years | 208 |
| abstract_inverted_index.calculated | 37, 178 |
| abstract_inverted_index.myelopathy | 182, 269 |
| abstract_inverted_index.popularity | 18 |
| abstract_inverted_index.prognostic | 130 |
| abstract_inverted_index.rheumatoid | 72 |
| abstract_inverted_index.triangular | 34 |
| abstract_inverted_index.underlying | 71 |
| abstract_inverted_index.Background: | 1 |
| abstract_inverted_index.T2-weighted | 93 |
| abstract_inverted_index.compression | 245 |
| abstract_inverted_index.consecutive | 51 |
| abstract_inverted_index.indentation | 113 |
| abstract_inverted_index.measurement | 242 |
| abstract_inverted_index.myelopathy. | 136 |
| abstract_inverted_index.pathologies | 41, 61 |
| abstract_inverted_index.validation. | 145 |
| abstract_inverted_index.Conclusions: | 237 |
| abstract_inverted_index.cutoff-point | 180, 267 |
| abstract_inverted_index.radiological | 7 |
| abstract_inverted_index.CVJ-pathology | 149 |
| abstract_inverted_index.abnormalities | 78, 225 |
| abstract_inverted_index.pre-operation | 214 |
| abstract_inverted_index.significance. | 273 |
| abstract_inverted_index.characteristic | 122 |
| abstract_inverted_index.post-operation | 209 |
| abstract_inverted_index.post-operative | 139 |
| abstract_inverted_index.respectively). | 174 |
| abstract_inverted_index.craniovertebral | 10 |
| abstract_inverted_index.intra-operative | 220 |
| abstract_inverted_index.posterior-inferior | 105 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5010254246 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I148366613, https://openalex.org/I2803004286 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.5099999904632568 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.78198872 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |