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期刊名:British journal of oral & maxillofacial surgery

缩写:BRIT J ORAL MAX SURG

ISSN:0266-4356

e-ISSN:1532-1940

IF/分区:2.0/Q2

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共收录本刊相关文章索引4572条
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Christine T J W Lwin,Riya Suleiman,Sajeev Nair et al. Christine T J W Lwin et al.
The aim of this study was to identify risk factors associated with complications following mandibular fracture open reduction and internal fixation (MORIF). The secondary purpose was to determine if a delay in surgery contributed to complic...
Anuj Jain,Pranali Nimonkar,Yash Merchant Anuj Jain
Mandibular angle fractures constitute 20%-30% of mandibular fractures. The optimal fixation method remains debated, with some advocating a single non-compression miniplate for simplicity and others favouring two plates for stability. A PRIS...
Luis Fernando de Oliveira Gorla,Sachin M Salvi,Harriet Tweedale et al. Luis Fernando de Oliveira Gorla et al.
Orbital fractures represent a common and complex challenge in maxillofacial surgery, with functional and aesthetic sequelae. Advances in computer-aided design and manufacturing, virtual planning, and three-dimensional printing have enabledp...
Babu Lal,Hariram Sankar,Ragavi Alagarsamy et al. Babu Lal et al.
Zygomaticomaxillary complex (ZMC) fractures are among the most common midfacial injuries, but achieving accurate reduction is challenging due to the complex anatomy and limited intraoperative visualisation. Traditional intraoperative assess...
Zainab Chaudhary,Neeraj Bansal,Pankaj Sharma et al. Zainab Chaudhary et al.
Maxillofacial reconstruction is inherently challenging due to its critical role in mastication, speech, and aesthetics. While non-vascularised bone grafts (NVBGs) are considered suitable for small defects, their success in larger defects re...
D Tighe,D Howell,A George et al. D Tighe et al.
This study was conducted to predict future prevalence patterns of head and neck cancer and skin cancer within the Kent and Medway region using data derived from the Kent Integrated Dataset. Machine learning methodologies were employed to mo...
D Tighe,D Howell,A George et al. D Tighe et al.
This study was conducted to predict future prevalence patterns of head and neck cancer and skin cancer within the Kent and Medway region using data derived from the Kent Integrated Dataset. Machine learning methodologies were employed to mo...