Combining micro-plasma radio-frequency with hypofractionated electron-beam radiation as a novel treatment of keloids
Bibliographic record
Abstract
RATIONALE: Micro-plasma radio-frequency (MPR) technology has been demonstrated a safe and effective treatment for kinds of scars, but there is no report about the application of the MPR on keloids. In this investigation, we creatively use MPR technology combining with hypofractionated electron-beam radiation to cure keloids. PATIENT CONCERNS AND DIAGNOSES: From February 2013 to December 2016, 22 Asian patients (16 male, 6 female, age 19-46 years, mean age 28.14 ± 7.31 years) with keloids over half a year were enrolled in this study. INTERVENTIONS AND OUTCOMES: All patients received a single MPR technology treatment by roller tip at 80-100 watt, and then hypofractionated electron-beam radiation of 6 MeV were performed twice, within 24 hours and one week after the operation with 9 Gy per time. Improvement were determined by the Vancouver Scar Scales (VSS) according to digital photographs. The results show that the volume of keloids reduced significantly among most patients. Only 3 patients encountered with mild to moderate hyperpigmentation, and none of malignance and worsening or recurrence of scars was observed. LESSONS: MPR technology combined with post-operative hypofractionated electron-beam radiation therapy is an effective method for patients with multiple keloids distributed widely on the body with minimal complications, especially for patients with widely distributed keloids.
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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 | 0.000 | 0.000 |
| 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".