External nasal defect repair. Algorithm for choosing surgical approach and donor material considering the theory of nasal subunits

Gileva K.S.

Petrovsky Russian Research Center of Surgery;
National Medical Research Center for Dentistry, Oral and Maxillofacial Surgery

Adamyan R.T.

Petrovsky Russian Research Center of Surgery;
National Medical Research Center for Dentistry, Oral and Maxillofacial Surgery

Verbo E.V.

Petrovsky Russian Research Center of Surgery;
National Medical Research Center for Dentistry, Oral and Maxillofacial Surgery

ORCID: 0000-0001-9843-5026

Allakhverdieva E.Z.

Lomonosov Moscow State University

Davydov D.A.

Lomonosov Moscow State University

External nasal defect repair. Algorithm for choosing surgical approach and donor material considering the theory of nasal subunits

Authors:

Gileva K.S., Adamyan R.T., Verbo E.V., Allakhverdieva E.Z., Davydov D.A.

More about the authors

Journal: Plastic Surgery and Aesthetic Medicine. 2023;(1): 5‑15

DOI: 10.17116/plast.hirurgia20230115

Downloaded: 171

To cite this article:

Gileva KS, Adamyan RT, Verbo EV, Allakhverdieva EZ, Davydov DA. External nasal defect repair. Algorithm for choosing surgical approach and donor material considering the theory of nasal subunits. Plastic Surgery and Aesthetic Medicine. 2023;(1):5‑15. (In Russ., In Engl.)
https://doi.org/10.17116/plast.hirurgia20230115

Подписка 2025-2 (Plastic Surgery and Aesthetic Medicine)

Close metadata

OBJECTIVE

To develop the algorithm for selecting donor material from various facial zones and surgical approach for external nasal defect repair considering the theory of nasal subunits.

MATERIAL AND METHODS

The study included 15 healthy people without nasal defects. In these ones, we chose 4 points on the face corresponding to the main areas for donor material harvesting in nasal defect closure and 4 points on the nose corresponding to the main nasal subunits. We analyzed skin thickness and color and compared these parameters in different areas of the face and nose using diffuse reflectance spectroscopy. Thus, we determined the most optimal donor zone for each subunit. Twenty patients were operated on according to the developed algorithm.

RESULTS

We determined the most optimal donor zones for each subunit considering thickness and color of facial zones. We developed the algorithm for selecting donor material from various facial zones and surgical approach for external nasal defect repair considering the theory of nasal subunits.

Keywords:

external nasal defects

reconstruction

theory of nasal subunits

donor material

aesthetic result

Authors:

Gileva K.S.

Petrovsky Russian Research Center of Surgery;
National Medical Research Center for Dentistry, Oral and Maxillofacial Surgery

Adamyan R.T.

Petrovsky Russian Research Center of Surgery;
National Medical Research Center for Dentistry, Oral and Maxillofacial Surgery

Verbo E.V.

Petrovsky Russian Research Center of Surgery;
National Medical Research Center for Dentistry, Oral and Maxillofacial Surgery

ORCID: 0000-0001-9843-5026

Allakhverdieva E.Z.

Lomonosov Moscow State University

Davydov D.A.

Lomonosov Moscow State University

Received:

21.11.2022

Accepted:

22.12.2022

List of references:

Losco L, Bolletta A, Pierazzi DM, et al. Reconstruction of the Nose: Management of Nasal Cutaneous Defects According to Aesthetic Subunit and Defect Size. A Review. Medicina (Kaunas). 2020;56(12):639. https://doi.org/10.3390/medicina56120639
Burget GC, Menick FJ. The subunit principle in nasal reconstruction. Plast Reconstr Surg. 1985;76(2):239-247.
Menick FJ. Principles and planning in nasal and facial reconstruction: making a normal face. Plast Reconstr Surg. 2016;137(6):1033-1047.
Menick FJ. Nasal reconstruction. Plast Reconstr Surg. 2010;125(4):138-150.
Başağaoğlu B, Ali K, Hollier P, Maricevich R. Approach to Reconstruction of Nasal Defects. Seminars in Plastic Surgery. 2018;32(2):75-83.
Ivanov SA, Zalutsky IV, Shlyaga ID. Ustranenie priobretennykh defektov naruzhnogo nosa. Minsk: Belaruskaya navuka; 2017. (In Russ.).

Close metadata