Detection of inadvertent passage of guide wire into the false lumen during thoracic endovascular aortic repair of Type B aortic dissection by transesophageal echocardiography
Bibliographic record
Abstract
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) has become a widely accepted treatment strategy for patients with thoracic aortic pathologies. We present a case of TEVAR where transesophageal echocardiography (TEE) played a crucial role for adequate placement of an endovascular stent graft. CASE PRESENTATION: A 71-year-old male received TEVAR for type B aortic dissection. TEE detected both true/false lumens with an intimal tear. A guidewire was inserted into the descending aorta via the left femoral artery; however, angiography failed to identify the precise location of the tip of the guidewire. TEE detected the guide wire passing through the intimal tear into the false lumen, promoted the surgeon to manipulate and advance it to the true lumen, followed by placement of a stent graft. The patient was hemodynamically stable through the whole procedure. CONCLUSION: TEE was crucially important for detecting the precise location of the guidewire and preventing complications during TEVAR.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".