F-044 * COMPLETE THORACOSCOPIC LOBECTOMY FOR CANCER: COMPARATIVE STUDY OF THREE-DIMENSIONAL HIGH DEFINITION WITH TWO-DIMENSIONAL HIGH DEFINITION VIDEO SYSTEM
Bibliographic record
Abstract
Objectives: Common video systems for video assisted thoracic surgery provide the surgeon a two-dimensional image (2D). This study aimed to evaluate performances of a new tri-dimensional High Definition (3D HD) system compared with two-dimensional High Definition system (2D HD) on surgical skills for complete thoracoscopic lobectomy (CTL) performance. Methods: This multi institutional comparative study used two HF video systems: 2D HD and 3D HD (Karl Storz, Tüttlingen, Germany) for the same type of CTL. Criteria of inclusion: patients with Stage I non-small-cell lung carcinoma proposed for a left lower lobectomy and having given their agreement for inclusion in the study. The CTL were performed by the same surgeon in 3D or 2D conditions. Lung cancer patients were randomized before incision in two groups: Group 2D and Group 3D regarding the video system. Statistical analyses were performed using the XLSTAT system (Addinsoft®, France). Student's t-test was used to test for differences between the two groups. We compared the operating time (recorded on the operating room software “Opera”, CHC, Quebec), the drainage and hospitalization duration and the N upstaging rate on the definitive histology. A P-value less than 0.05 was considered significant. Results: Between January and December 2013, 18 patients were included in the study. There were 14 males and 4 females with a median age of 68.6 years (49-81). In the Group 3D, we observed a significant decrease of mean operating time and length of chest tube drainage. The length of hospital stay and the number of lymph node stations were similar in both groups. Conclusions: The most interesting finding of this study was that 3D HD vision improved the lobectomy completion speed. The future integration of 3D systems should facilitate the expansion of thoracoscopic surgery to more complex resection and help to advance the field of endoscopically assisted surgery. Disclosure: No significant relationships.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".