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Diagnostics
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Advancements in Craniofacial Practices: Imaging, AI, Surgery, and Patient Care
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Advancements in Craniofacial Practices: Imaging, AI, Surgery, and Patient Care

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 412

Special Issue Editor

Dr. Rami R. Hallac

E-Mail Website
Guest Editor
1. Analytical Imaging and Modeling Center, Children’s Health, Dallas, TX 75235, USA
2. Department of Plastic Surgery, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
Interests: machine learning; craniofacial imaging; ear deformity; craniosynostosis; cleft lip and palate; vascular anomalies; 3D photogrammetry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will focus on the evolving landscape of craniofacial healthcare, exploring innovations across imaging, artificial intelligence, surgical techniques, and patient-centered care. The aim is to provide a comprehensive overview of the practices that are driving advances in diagnosis, treatment, and holistic patient management. Key themes include the following:

  1. Imaging Innovations: Advances in craniofacial imaging technologies, such as radiological imaging, 3D photogrammetry, 4D stereophotogrammetry, CBCT, and multimodal approaches, as well as their integration into diagnostic and surgical workflows.
  2. Artificial Intelligence and Machine Learning: The role of AI in automating craniofacial image analysis, improving diagnostic accuracy, predicting outcomes, and supporting clinical decision-making.
  3. Surgical Advances: Cutting-edge surgical techniques, including minimally invasive methods, 3D-printed implants, personalized surgical planning, and the use of robotics in craniofacial reconstruction.
  4. Patient-Centered Care: Approaches that emphasize comprehensive patient management, including interdisciplinary collaboration between surgeons, orthodontists, and allied healthcare professionals, as well as considerations for quality of life, functional outcomes, and psychological support.
  5. Precision Medicine and Personalized Treatment: How modern craniofacial practices are leveraging precision medicine to develop individualized treatment plans that address the unique anatomical, genetic, and clinical characteristics of patients.
  6. Telehealth and Remote Monitoring: The growing role of telehealth in craniofacial care, facilitating remote consultations and follow-up care and expanding access to specialized services in underserved populations.
  7. Future Challenges and Opportunities: Identifying ongoing challenges in craniofacial healthcare, including the incorporation of new technologies, regulatory considerations, addressing healthcare disparities, and future directions for research and clinical practice.

Dr. Rami R. Hallac
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • craniofacial imaging
  • 3D radiological imaging
  • 3D photogrammetry
  • 4D stereophotogrammetry
  • artificial intelligence (AI)
  • craniofacial surgery
  • patient-centered care
  • 3D printing
  • precision medicine
  • telehealth
  • surgical planning
  • interdisciplinary collaboration

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Published Papers (1 paper)

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Research

12 pages, 796 KiB  
Article
Enhancing Predictive Tools for Skeletal Growth and Craniofacial Morphology in Syndromic Craniosynostosis: A Focus on Cranial Base Variables
by Lantian Zheng, Norli Anida Abdullah, Norlisah Mohd Ramli, Nur Anisah Mohamed, Mohamad Norikmal Fazli Hisam and Firdaus Hariri
Diagnostics 2025, 15(13), 1640; https://doi.org/10.3390/diagnostics15131640 - 27 Jun 2025
Viewed by 169
Abstract
Background/Objectives: Patients with syndromic craniosynostosis (SC) pose a significant challenge for post-operational outcomes due to the variability in craniofacial deformities and gain-of-function characteristics. This study aims to develop validated predictive tools using stable cranial base variables to predict changes in the midfacial [...] Read more.
Background/Objectives: Patients with syndromic craniosynostosis (SC) pose a significant challenge for post-operational outcomes due to the variability in craniofacial deformities and gain-of-function characteristics. This study aims to develop validated predictive tools using stable cranial base variables to predict changes in the midfacial region and explore the craniofacial morphology among patients with SC. Methods: This study involved 17 SC patients under 12 years old, 17 age-matched controls for morphological analysis, and 21 normal children for developing craniofacial predictive models. A stable cranial base and changeable midfacial variables were analyzed using the Mann–Whitney U test. Pearson correlation identified linear relationships between the midface and cranial base variables. Multicollinearity was checked before fitting the data with multiple linear regression for growth prediction. Model adequacy was confirmed and the 3-fold cross-validation ensured results reliability. Results: Patients with SC exhibited a shortened cranial base, particularly in the middle cranial fossa (S-SO), and a sharper N-S-SO and N-SO-BA angle, indicating a downward rotation and kyphosis. The midface length (ANS-PNS) and zygomatic length (ZMs-ZTi) were significantly reduced, while the midface width (ZFL-ZFR) was increased. Regression models for the midface length, width, and zygomatic length were given as follows: ANS-PNS = 23.976 + 0.139 S-N + 0.545 SO-BA − 0.120 N-S-BA + 0.078 S-SO-BA + 0.051 age (R2 = 0.978, RMSE = 1.058); ZFL-ZFR = −15.618 + 0.666 S-N + 0.241 N-S-BA + 0.155 S-SO-BA + 0.121 age (R2 = 0.903, RMSE = 3.158); and ZMs-ZTi = −14.403 + 0.765 SO-BA + 0.266 N-S-BA + 0.111 age (R2 = 0.878, RMSE = 3.720), respectively. Conclusions: The proposed models have potential applications for midfacial growth estimation in children with SC. Full article
(This article belongs to the Special Issue Advancements in Craniofacial Practices: Imaging, AI, Surgery, and Patient Care)
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