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Local Flap Techniques for Reconstruction of Large Truncal and Extremity Defects.

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International journal of dermatology 📖 저널 OA 23.1% 2021: 1/2 OA 2022: 0/4 OA 2023: 1/5 OA 2024: 4/6 OA 2025: 4/8 OA 2026: 7/28 OA 2021~2026 2026 Vol.65(4) p. 746-752
Retraction 확인
출처

Jeha GM, Nadir U, Mehrmal S, Tolkachjov SN

📝 환자 설명용 한 줄

[BACKGROUND] Large cutaneous defects of the trunk and extremities are frequently encountered in dermatologic surgery and often exceed the limits of primary closure.

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↓ .bib ↓ .ris
APA Jeha GM, Nadir U, et al. (2026). Local Flap Techniques for Reconstruction of Large Truncal and Extremity Defects.. International journal of dermatology, 65(4), 746-752. https://doi.org/10.1111/ijd.70174
MLA Jeha GM, et al.. "Local Flap Techniques for Reconstruction of Large Truncal and Extremity Defects.." International journal of dermatology, vol. 65, no. 4, 2026, pp. 746-752.
PMID 41263225 ↗
DOI 10.1111/ijd.70174

Abstract

[BACKGROUND] Large cutaneous defects of the trunk and extremities are frequently encountered in dermatologic surgery and often exceed the limits of primary closure. Local flaps remain a strong reconstructive option because of their robust perfusion, excellent skin match, and ability to be performed under local anesthesia in the office setting.

[METHODS] This experience-based narrative overview outlines the authors' preferred local flap techniques for the reconstruction of large truncal and extremity defects. Each approach is illustrated with representative cases.

[RESULTS] In our experience, local flaps provide dependable coverage for large truncal and extremity wounds while maintaining natural contour and mobility. Depending on anatomic site and defect characteristics, preferred options include A-T advancement, single- and double-arm (O-Z) rotation flaps, rhombic flaps, keystone flaps, and peri-areolar mobilization techniques.

[CONCLUSIONS] Local flaps remain versatile options for closure of large truncal and extremity defects.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반