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Chiang SN, Fotouhi AR, Grames LM, Skolnick GB, Snyder-Warwick AK, Patel KB. Buccal Myomucosal Flap Repair for Velopharyngeal Dysfunction. Plast Reconstr Surg 2023; 152:842-850. [PMID: 37768860 DOI: 10.1097/prs.0000000000010443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
Abstract
BACKGROUND Velopharyngeal dysfunction (VPD) is the incomplete separation of the nasal and oral cavities during speech sound production that can persist following primary palatoplasty. Surgical technique used in management of VPD (palatal re-repair versus pharyngeal flap or sphincter pharyngoplasty) is often dictated by the preoperative velar closing ratio and closure pattern. Recently, buccal flaps have increased in popularity in management of VPD. Here, the authors investigate the effectiveness of buccal myomucosal flaps in the treatment of VPD. METHODS A retrospective review was performed of all patients undergoing secondary palatoplasty with buccal flaps at a single center between 2016 and 2021. Preoperative and postoperative speech outcomes were compared. Speech assessments included perceptual examinations, graded on a four-point scale of hypernasality, and speech videofluoroscopy, from which the velar closing ratio was obtained. RESULTS A total of 25 patients underwent buccal myomucosal flap procedures for VPD at a median of 7.1 years after primary palatoplasty. Patients had significantly increased velar closing postoperatively (95% versus 50%; P < 0.001) and improved speech scores ( P < 0.001). Three patients (12%) had continued hypernasality postoperatively. There were no occurrences of obstructive sleep apnea. CONCLUSIONS Treatment of VPD with buccal myomucosal flaps leads to improved speech outcomes without the risk of obstructive sleep apnea. Traditionally, palatal re-repair techniques have been used for smaller preoperative velopharyngeal gaps; however, the addition of buccal flaps allows for anatomical velar muscle correction for patients with a larger preoperative velopharyngeal gap. CLINICAL QUESTION/LEVEL OF EVIDENCE Therapeutic, IV.
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Affiliation(s)
- Sarah N Chiang
- From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University School of Medicine
| | - Annahita R Fotouhi
- From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University School of Medicine
| | - Lynn M Grames
- Cleft Palate and Craniofacial Institute, St. Louis Children's Hospital
| | - Gary B Skolnick
- From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University School of Medicine
| | - Alison K Snyder-Warwick
- From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University School of Medicine
| | - Kamlesh B Patel
- From the Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University School of Medicine
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Huang H, Zheng O, Wang D, Yin J, Wang Z, Ding S, Yin H, Xu C, Yang R, Zheng Q, Shi B. ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model. Int J Oral Sci 2023; 15:29. [PMID: 37507396 PMCID: PMC10382494 DOI: 10.1038/s41368-023-00239-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 07/06/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with billions of parameters. LLMs have stirred up much interest among researchers and practitioners in their impressive skills in natural language processing tasks, which profoundly impact various fields. This paper mainly discusses the future applications of LLMs in dentistry. We introduce two primary LLM deployment methods in dentistry, including automated dental diagnosis and cross-modal dental diagnosis, and examine their potential applications. Especially, equipped with a cross-modal encoder, a single LLM can manage multi-source data and conduct advanced natural language reasoning to perform complex clinical operations. We also present cases to demonstrate the potential of a fully automatic Multi-Modal LLM AI system for dentistry clinical application. While LLMs offer significant potential benefits, the challenges, such as data privacy, data quality, and model bias, need further study. Overall, LLMs have the potential to revolutionize dental diagnosis and treatment, which indicates a promising avenue for clinical application and research in dentistry.
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Affiliation(s)
- Hanyao Huang
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
| | - Ou Zheng
- Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, USA.
| | - Dongdong Wang
- Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, USA
| | - Jiayi Yin
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Zijin Wang
- Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, USA
| | - Shengxuan Ding
- College of Transportation Engineering, University of Central Florida, Orlando, USA
| | - Heng Yin
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Chuan Xu
- School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China
- C2SMART Center, Tandon School of Engineering, New York University, Brooklyn, USA
| | - Renjie Yang
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Eastern Clinic, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Qian Zheng
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Bing Shi
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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Yang C, Li J, Li H, Chen N, Yin X, Shi B, Li J, Huang H. Inspiration After Posterior Pharyngeal Flap Palatoplasty: A Preliminary Study Using Computational Fluid Dynamic Analysis. Front Pediatr 2022; 10:823777. [PMID: 35592839 PMCID: PMC9111012 DOI: 10.3389/fped.2022.823777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 03/25/2022] [Indexed: 11/24/2022] Open
Abstract
Posterior pharyngeal flap palatoplasty (PPF) is one of the most commonly used surgical procedures to correct speech, especially for patients suffering from velopharyngeal insufficiency (VPI). During PPF, surgeons use the catheter to control the lateral velopharyngeal port on each side. Airway obstruction and sleep apnea are common after PPF. To understand the air dynamics of the upper airway after PPF, we used computational fluid dynamics (CFD) to demonstrate the airflow. In our previous study, we have revealed the expiration process of the upper airway after PPF and shown the features of how PPF successfully restores the oral pressure for speech. In this study, we focus on examining the inspiration process. Normal airway structures were included. For the normal velopharyngeal structure, one cylinder was applied to each model. For recapitulating the velopharyngeal structure after PPF, two cylinders were used in each model. The ports for borderline/inadequate closure, which can help the oral cavity get the required pressure, were chosen for this study. A real-time CFD simulation was used to capture the airflow through the ports. We found that the airflow dynamics of the upper airway's inspiration were dependent on the velopharyngeal structure. Although the airflow patterns were similar, the velocities between one-port and two-port structures were different, which explained why patients after PPF breathed harder than before and suggested that the one-port structure might be a better choice for secondary VPI reconstruction based on the CFD analyses.
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Affiliation(s)
- Chao Yang
- Department of Oral Maxillofacial Surgery, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Jiang Li
- The Third People's Hospital of Chengdu, Clinical College of Southwest Jiaotong University, The Second Affiliated Chengdu Hospital, Chongqing Medical University, Chengdu, China
| | - Huo Li
- Department of Pharmacy, Personalized Drug Therapy Key Laboratory, Sichuan Province Sichuan Academy, Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Nan Chen
- Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xing Yin
- Department of Orthodontics, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Bing Shi
- Department of Oral Maxillofacial Surgery, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Jingtao Li
- Department of Oral Maxillofacial Surgery, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Hanyao Huang
- Department of Oral Maxillofacial Surgery, State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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