Long-Term Complications from Diced Cartilage in Rhinoplasty: A Meta-Analysis

Li, Jiaqi; Sang, Chen; Fu, Rao; Liu, Chuanqi; Suo, Linlang; Yan, Yuxin; Li, Kai; Huang, Ru‐Lin

doi:10.1089/fpsam.2021.0002

Cited by 4 publications

(1 citation statement)

References 38 publications

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“…A diced cartilage packing method did not correlate with irregularity and revision surgery. [ 43 ]/2022 This study examined an autologous material that doesn't disperse for use in dorsal nasal augmentation. Resorption, warping, and wrapping membrane resistance are significant for this material.…”

Section: Methodsmentioning

confidence: 99%

The current techniques in dorsal augmentation rhinoplasty: a comprehensive review

Nikparto,

Yari,

Mehraban

et al. 2024

Maxillofac Plast Reconstr Surg

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Background An essential aspect of rhinoplasty is the enhancement of the nasal dorsal contour by performing dorsal augmentation (DA) rhinoplasty. A wide range of techniques are available for DA as the demand for aesthetic nasal refinement grows. This review aims to provide a comprehensive overview of the current techniques used in DA rhinoplasty. Main body Research articles on DA rhinoplasty techniques were identified through a comprehensive literature search. Scopus, PubMed, and Web of Science were used as electronic databases. Each database was searched for articles published since its inception. DA rhinoplasty techniques were examined in this literature review. Methodological quality was assessed for the selected studies, and data was extracted to examine materials used, surgical approaches, and reported outcomes for each technique. Various DA methods, including autologous grafts and synthetic implants, are examined in-depth in this review. Comparing approaches can help better understand their respective advantages and limitations. Conclusion A wealth of techniques is available for DA rhinoplasty, each with advantages. Patients’ nasal anatomy, desired outcomes, and potential risks must be considered by surgeons when determining their surgical approach. DA methods continue to evolve rapidly, creating a need for a thorough understanding of the current landscape to make informed decisions.

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