Journal of plastic and reconstructive surgery · 2025
A Simple Hump Measuring Technique in Rhinoplasty: A Prospective Study on Precision and Patient Outcomes.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
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Ошибки и ограничения
История · было → стало
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Rabie Amr Nabil, Hussein Ahmed Yehia, Nassif Mena Maher
Аннотация
OBJECTIVES: An aesthetically pleasing nasal side profile is a must for a successful rhinoplasty result. We offer a simple technique for accurate measurement of the desired reduction limit of the nasal hump and thus avoiding over- or under-reduction, plus obtaining a single long piece of cartilage that can be used as a graft in the operation.
METHODS: A prospective randomized intervention study compared 20 patients: group A (conventional hump reduction) versus group B (tool-assisted reduction). Outcomes were assessed via Likert scales (1-5) at 6 weeks, 3 months, and 6 months postoperatively.
RESULTS: Group B showed significantly higher median satisfaction scores for hump reduction (p = 0.006 at 6 weeks, p = 0.003 at 6 months) and overall rhinoplasty outcomes (p < 0.001). The tool enabled precise resection while preserving cartilage for grafts.
CONCLUSIONS: This technique improves reproducibility and patient satisfaction, offering a cost-effective alternative to three-dimensional imaging/artificial intelligence planning.
METHODS: A prospective randomized intervention study compared 20 patients: group A (conventional hump reduction) versus group B (tool-assisted reduction). Outcomes were assessed via Likert scales (1-5) at 6 weeks, 3 months, and 6 months postoperatively.
RESULTS: Group B showed significantly higher median satisfaction scores for hump reduction (p = 0.006 at 6 weeks, p = 0.003 at 6 months) and overall rhinoplasty outcomes (p < 0.001). The tool enabled precise resection while preserving cartilage for grafts.
CONCLUSIONS: This technique improves reproducibility and patient satisfaction, offering a cost-effective alternative to three-dimensional imaging/artificial intelligence planning.