[Indication and procedure of video-assisted thoracoscopic surgery to thymic disease].
Bibliographic record
Abstract
We retrospective reviewed minimally invasive video-assisted thoracoscopic surgery (VATS) to thymic diseases. These procedures were performed using intercostal and infrasternal approach with a sternum-elevator. Indications of this method are benign thymic lesions [mature teratoma, thymic cyst and myasthenia gravis (MG)] and small thymoma (non-invasive Masaoka stage I-II, less than 5 cm in diameter and nontouching to the left brachiocephalic vein). Fifty patients underwent VATS for 13 hemithymectomies (7 thymomas, 5 mature teratomas and 1 thymic cyst) and 37 extended thymectomies (25 nonthymomatous MGs and 12 thymomatous MGs). Conversion to sternotomy was required in 3 cases of nonthymomatous MG because of bleeding from thymic vein in 1 case and pleural adhesion in 2 cases. Four cases of thymomatous MG were successfully treated with partial lung resection and/or small pericardial resection by VATS. New bipolar vessel sealing system (LigaSure V) is safer and more useful than metal clip and ultrasonic coagulator in VATS for thymic vein sealing, extraction of upper poles of thymus and incision of mediastinal pleura near phrenic nerve. VATS thymectomy should be useful from the standpoint of less invasive, less pain, rapid recovery, and good cosmetic results.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.004 | 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".