Predicting postoperative recurrence of auricular pseudocyst: key factors and risk models

Age, cyst size, surgical approach, and postoperative adjuvant therapy are critical factors influencing postoperative recurrence of auricular pseudocysts. The recurrence prediction models based on logistic regression and Cox regression demonstrate high efficiency in predicting short-term recurrence and can guide postoperative management strategies.

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Publication Details

Journal
American Journal of Translational Research
Published
2025-01-01
DOI
https://doi.org/10.62347/udck5613
Primary Topic
Reconstructive Facial Surgery Techniques
Type
article
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article

Predicting postoperative recurrence of auricular pseudocyst: key factors and risk models

Guijun Zou
American Journal of Translational Research
Reconstructive Facial Surgery Techniques
article

Predicting postoperative recurrence of auricular pseudocyst: key factors and risk models

Guijun Zou
article en

Abstract

Age, cyst size, surgical approach, and postoperative adjuvant therapy are critical factors influencing postoperative recurrence of auricular pseudocysts. The recurrence prediction models based on logistic regression and Cox regression demonstrate high efficiency in predicting short-term recurrence and can guide postoperative management strategies.

American Journal of Translational ResearchVol. 17(5)
Ankang City Central Hospital (CN)
Openalex Percentile: Top 79%
Reconstructive Facial Surgery Techniques
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Predicting postoperative recurrence of auricular pseudocyst: key factors and risk models — Guijun Zou · American Journal of Translational Research (2025) | TGRS Research Map | TGRS