Left fourth and sixth costovertebral dislocation abutting the aorta
Bibliographic record
Abstract
While rib fractures are common in blunt thoracic trauma, dislocations of the costovertebral joints (CVJs) are extremely rare and typically involve the first, eleventh, or twelfth rib. We report a rare case of dislocation of the left fourth and sixth CVJs in a 36-year-old man who was run over by a car. The rib heads were displaced anteriorly, abutting the aorta. Additional injuries included bilateral hemopneumothoraces, pneumomediastinum, pulmonary contusions, grade 3 splenic injury, left adrenal hematoma, retroperitoneal hematoma, Morel-Lavallée lesions at bilateral hips, and multiple fractures, including at the ribs and pelvis. There was also a fracture of the fourth thoracic vertebral body, which was occult on initial CT, but seen on subsequent CTs. The CVJ dislocations were managed conservatively, without short-term complications. Prompt surgical intervention has been recommended in cases where sharp rib fracture fragments are displaced close to the aorta to prevent fatal aortic injuries. However, there is a literature gap on the management of rib heads that are dislocated against the aorta. Our experience suggests that conservative management may be acceptable in some of these cases. This case report aims to increase radiologists' awareness of CVJ injuries, which are important for thoracic spine stability, and highlights the association between CVJ dislocations and spinal injuries.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".