Related Experiment Video
Updated: Aug 6, 2026
Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
Published on: August 5, 2021
Toward Precision Radiologic Assessment in Alveolar Cleft Reconstruction: From 2-Dimensional Scoring to Artificial
Siqi Wei1, Mingnan Gao1, Yongqian Wang2
1Resident, Center for Cleft Lip and Palate Treatment, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background:
Radiological evaluation is critical for determining alveolar bone grafting success. Assessment has evolved from subjective two-dimensional (2D) scoring to objective three-dimensional (3D) quantitative imaging using cone-beam computed tomography (CBCT). Recently, artificial intelligence (AI) has emerged as a potentially valuable tool. This review examines this evolution and identifies future directions for more precise radiologic assessment in alveolar cleft reconstruction.
Findings:
Traditional 2D scoring remains widely used but is limited by distortion and poor volumetric assessment. CBCT-based 3D imaging enables more objective evaluation of graft morphology and postoperative healing. AI-assisted approaches may support image analysis and prognostic assessment, but clinical application remains limited.
Conclusions And Relevance:
Radiologic assessment in alveolar cleft reconstruction has evolved from subjective 2D scoring to objective 3D imaging, with CBCT currently representing the most informative approach and AI emerging as a potential adjunct for future precision evaluation.
