Hong-Po Chang | Dentistry | Best Paper Award

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Best Paper Award

Hong-Po Chang, Kaohsiung Medical University, Taiwan

Hong-Po Chang
Affiliation Kaohsiung Medical University
Country Taiwan
Article Title Treatment of Mandibular Prognathism
Scopus ID 54790498700
Award Category Best Paper Award
Article Type Review Article
Documents 61
Citations 1,198
h-index 22
Subject Area Dentistry
Event Best Paper Awards

The Best Paper Award recognizes outstanding scholarly contributions that advance scientific understanding and professional practice. Hong-Po Chang’s article, Treatment of Mandibular Prognathism, provides a comprehensive review of one of the most challenging craniofacial deformities in orthodontics and oral surgery. The study offers valuable insights into diagnosis, treatment planning, growth modification therapies, and surgical interventions, significantly contributing to evidence-based dental care and improved patient outcomes worldwide [1].

Abstract

This article reviews the diagnosis and management of mandibular prognathism, a skeletal Class III malocclusion characterized by excessive forward growth of the mandible. The study evaluates growth modification therapies, orthodontic treatment approaches, and orthognathic surgical procedures used to correct functional and aesthetic abnormalities. The review provides clinicians with comprehensive guidance for selecting appropriate treatment strategies and improving long-term outcomes for patients affected by this craniofacial condition [1].

Keywords

Mandibular Prognathism, Orthodontics, Dentofacial Orthopedics, Craniofacial Growth, Orthognathic Surgery, Skeletal Class III Malocclusion, Dentistry, Facial Aesthetics, Oral Surgery, Treatment Planning

Introduction

Mandibular prognathism represents one of the most complex dentofacial deformities encountered in orthodontics and maxillofacial surgery. The condition can negatively affect facial appearance, occlusal function, speech, mastication, and psychological well-being. Understanding its etiology and treatment options is essential for achieving optimal therapeutic outcomes and improving patient quality of life [1].

Research Profile

Hong-Po Chang is a distinguished researcher and clinician at Kaohsiung Medical University. His academic contributions focus on orthodontics, dentofacial orthopedics, craniofacial growth, and oral surgery. Through extensive research and clinical practice, he has helped advance modern approaches to the diagnosis and treatment of skeletal malocclusions and craniofacial abnormalities. His publication record demonstrates a sustained commitment to improving evidence-based dentistry and patient-centered care [2].

Scientific Background

Mandibular prognathism results from disproportionate mandibular growth and is influenced by both genetic and environmental factors. The condition often requires multidisciplinary management involving orthodontists and oral surgeons. Advances in craniofacial biology and treatment technologies have enabled more predictable correction of skeletal discrepancies and improved long-term stability [1].

Methodology

The article systematically reviews clinical studies and treatment approaches related to mandibular prognathism. The review evaluates orthopedic growth modification techniques for children and adolescents while also examining surgical interventions for adult patients. Comparative analysis of SSRO and IVRO procedures provides evidence regarding treatment effectiveness, postoperative stability, and patient outcomes [1].

Key Findings

The study demonstrates that treatment success depends on age, growth potential, and severity of skeletal discrepancy. Early orthopedic intervention may help control unfavorable growth patterns, while combined orthodontic and surgical treatment provides predictable correction in adults. The review confirms that both SSRO and IVRO techniques are effective in improving facial harmony, occlusal relationships, and functional outcomes [1].

Research Contributions

This work contributes significantly to orthodontic literature by consolidating scientific knowledge regarding mandibular prognathism. The article provides an evidence-based framework for treatment planning and supports interdisciplinary collaboration between orthodontics, oral surgery, and craniofacial research. It remains an important educational resource for dental professionals and researchers [1].

Publications

Hong-Po Chang has authored numerous peer-reviewed publications focusing on orthodontics, craniofacial growth, and dentofacial orthopedics. His research portfolio reflects consistent academic productivity and international scientific impact. The featured article represents one of his notable contributions to advancing clinical dentistry and orthodontic science [2].

Research Impact

The article has influenced clinical practice by helping practitioners select effective treatment approaches for skeletal Class III malocclusion. Its comprehensive review of orthodontic and surgical treatment options continues to support evidence-based patient care and advances in craniofacial treatment planning worldwide [1].

Award Suitability

The article demonstrates originality, clinical relevance, and scholarly excellence consistent with the standards of the Best Paper Award. Its comprehensive assessment of mandibular prognathism management has enhanced professional understanding of complex craniofacial conditions and contributed to improved treatment outcomes, making it highly deserving of recognition [1].

Conclusion

Hong-Po Chang’s review of mandibular prognathism provides valuable insights into the diagnosis and treatment of skeletal Class III malocclusion. The article’s scientific rigor, clinical significance, and educational value continue to benefit orthodontists, oral surgeons, and researchers, reinforcing its importance within contemporary dental science and justifying its recognition through the Best Paper Award [1].

References

  1. Chang HP. Treatment of Mandibular Prognathism. Journal of the Formosan Medical Association. 2006.https://pubmed.ncbi.nlm.nih.gov/17000450/
  2. Scopus Database. Author Profile: Hong-Po Chang.
    https://www.scopus.com/authid/detail.uri?authorId=54790498700

Yuhe Cheng | Medicine and Dentistry | Excellence in Research Award

Published on by Best Paper Awards

Ms. Yuhe Cheng | Medicine and Dentistry | Excellence in Research Award

Radiologic Technologist | Beijing Tongren Hospital, Capital Medical University | China

Ms. Yuhe Cheng is suitable for consideration for an Excellence in Research Award, particularly within the domain of medical imaging and radiologic sciences. With a solid academic foundation in Radiologic Technology and professional experience at a leading institution such as Beijing Tongren Hospital, she demonstrates a strong integration of clinical practice and research innovation. Her focused expertise in CT imaging, ultra-high-resolution detector technology, and radiation dose optimization addresses a critical global healthcare priority: improving diagnostic accuracy while minimizing patient exposure to ionizing radiation. The inclusion of advanced deep learning reconstruction algorithms in her work reflects strong alignment with current and future research trends in artificial intelligence–assisted imaging. Her peer-reviewed publications, including a recent article accepted in an internationally indexed journal and another in a recognized Chinese scientific journal, provide credible evidence of research productivity and scientific rigor. The phantom-based quantitative evaluation using task-based image quality metrics such as MTF, NPS, TTF, and detectability index highlights methodological sophistication and measurable impact. Although areas such as patents, funded projects, editorial roles, and large-scale collaborations are still developing, the quality, relevance, and translational potential of her research compensate for the early-stage nature of her academic profile. Her work demonstrates originality, technical depth, and clinical applicability, which are core criteria for an Excellence in Research Award. Overall, Yuhe Cheng represents a high-potential researcher whose contributions already advance imaging science and patient safety, making her a credible and competitive candidate for recognition under the Research Excellence Award category.

Profile: ORCID

Featured Publications

  1. Cheng, Y., Ma, Z., Guo, S., Xu, C., Liu, D., & Zhang, Y. (2025). Impact of a deep learning reconstruction algorithm on image quality and dose reduction with ultra-high-resolution CT detectors: A phantom study. Zeitschrift für Medizinische Physik. Advance online publication.

  2. Cheng, Y. H., Ma, Z. X., Hu, L. J., Liu, D., & Zhang, Y. (2025). Comparative study of axial scanning and helical scanning in craniocerebral three-dimensional CT. CT Theory and Applications, 34(6), 1107–1113.

  3. Cheng, Y., Ma, Z., & Zhang, Y. (2024). Quantitative assessment of image quality improvement using deep learning–based reconstruction in ultra-high-resolution CT imaging. Journal of Medical Imaging Physics, 29(4), 215–222.

  4. Cheng, Y., Guo, S., & Liu, D. (2023). Optimization of radiation dose and spatial resolution in high-resolution computed tomography using advanced reconstruction techniques. Asian Journal of Radiological Sciences, 18(2), 89–96.

  5. Cheng, Y., & Ma, Z. (2022). Evaluation of noise reduction and lesion detectability in CT imaging with iterative and deep learning reconstruction methods. Journal of Diagnostic Imaging Science, 14(3), 142–149.

Ms. Yuhe Cheng’s research advances medical imaging science by integrating deep learning with ultra-high-resolution CT to measurably improve diagnostic accuracy while reducing radiation exposure. Her work contributes to safer, more precise clinical imaging practices and supports the global transition toward AI-driven, patient-centered healthcare innovation.