• Title/Summary/Keyword: reconstructive craniofacial surgery

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The 50 Most Cited Papers in Craniofacial Anomalies and Craniofacial Surgery

  • Mahon, Nicola A;Joyce, Cormac W;Thomas, Sangeetha;Concannon, Elizabeth;Murray, Dylan
    • Archives of Plastic Surgery
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    • v.42 no.5
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    • pp.559-566
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    • 2015

  • Background Citation analysis is a recognized scientometric method of classifying cited articles according to the frequency of which they have been referenced. The total number of citations an article receives is considered to reflect it's significance among it's peers. Methods Until now, a bibliometric analysis has never been performed in the specialty of craniofacial anomalies and craniofacial surgery. This citation analysis generates an extensive list of the 50 most influential papers in this developing field. Journals specializing in craniofacial surgery, maxillofacial surgery, plastic surgery, neurosurgery, genetics and pediatrics were searched to demonstrate which articles have cultivated the specialty within the past 55 years. Results The results show an intriguing compilation of papers which outline the fundamental knowledge of craniofacial anomalies and the developments of surgical techniques to manage these patients. Conclusions This citation analysis provides a summation of the current most popular trends in craniofacial literature. These esteemed papers aid to direct our decision making today within this specialty.

  • https://doi.org/10.5999/aps.2015.42.5.559 인용 PDF KSCI

Potential role of artificial intelligence in craniofacial surgery

  • Ryu, Jeong Yeop;Chung, Ho Yun;Choi, Kang Young
    • Archives of Craniofacial Surgery
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    • v.22 no.5
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    • pp.223-231
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    • 2021

  • The field of artificial intelligence (AI) is rapidly advancing, and AI models are increasingly applied in the medical field, especially in medical imaging, pathology, natural language processing, and biosignal analysis. On the basis of these advances, telemedicine, which allows people to receive medical services outside of hospitals or clinics, is also developing in many countries. The mechanisms of deep learning used in medical AI include convolutional neural networks, residual neural networks, and generative adversarial networks. Herein, we investigate the possibility of using these AI methods in the field of craniofacial surgery, with potential applications including craniofacial trauma, congenital anomalies, and cosmetic surgery.

  • https://doi.org/10.7181/acfs.2021.00507 인용 PDF KSCI

Necrotizing fasciitis of the masticator space with osteomyelitis of the mandible in an edentulous patient

  • Shin, Jongweon;Park, Song I;Cho, Jin Tae;Jung, Sung-No;Byeon, Junhee;Seo, Bommie Florence
    • Archives of Craniofacial Surgery
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    • v.20 no.4
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    • pp.270-273
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    • 2019

  • Necrotizing fasciitis (NF) is a rapidly progressive necrosis of the subcutaneous tissue and fascia, caused by bacterial infection. Usually presenting in the extremities, trunk, or perineum, it is uncommon in the craniofacial or cervical area. Cervicofacial NF is a potentially fatal infection, which should be managed with early detection and intervention. Most cases have a primary odontogenic source of infection, especially when the masticator space is involved. We report a case of masticator space NF that developed without odontogenic origin in a 78-year old female who was treated with prompt surgical drainage and intravenous antibiotics.

  • https://doi.org/10.7181/acfs.2019.00311 인용 PDF KSCI