Exploring surgical outcomes of elliptical excision against relaxed skin tension lines on the face
Bibliographic record
Abstract
Objectives The excisional surgeries on the face are usually carried out along relaxed skin tension lines (RSTLs). However, when the long axis of the lesion cannot be oriented along the RSTL, it becomes imperative to plan excision, which although it may not follow the RSTL, still would help to reduce wound tension and scarring. This study aims to compare the surgical outcomes of elliptical excision along RSTL versus those against RSTL over the face. Material and Methods A retrospective, randomized, and comparative study was carried out on 100 patients who had undergone elliptical excision either against RSTL (Group A) or along RSTL (Group B) for various indications on the face. A modified Vancouver scar scale (VSS) was used to assess the scar after 6 months. Comparison of categorical data was performed by the Chi-square test and Fisher’s exact test, while Mann compared the quantitative data–Whitney Z test. P < 0.05 was considered significant. Results Fifty patients were included in Group A and Group B each. Maximum (32%) excisions in Group A were carried out on the forehead, whereas 52% of cases who were operated along RSTL had lesions on the cheek. The common indications for elliptical excision on the face were compound nevus (35%) and post-traumatic scar (39%). About 11% of the total cases developed minor complications postoperatively. The mean modified VSS between the two groups was found to be statistically insignificant ( P = 0.364). Conclusion We can hereby postulate that elliptical excisions that do not follow RSTL on the face can give equally convincing surgical outcomes as compared to the ones aligned along the RSTL, provided that we give sufficient strength to the wounds by placement of subcutaneous sutures. The concept of biodynamic excisional skin tension lines can thus be emphasized.
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 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 | 0.000 |
| 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".