1.Manufacture of pre-surgical nasal stent for infants with cleft palate and nasal deformity by CAD/CAM
Jianbo ZHANG ; Xin ZHAO ; Lishan DENG ; Chen LIU ; Guofeng WU
Journal of Practical Stomatology 2014;(2):178-182
Objective:To develop a new method of manufacture of presurgical nasal stent by computer-aided design and manufactur-ing(CAD/CAM)technique for infants with cleft palate and nasal deformity.Methods:A neonate with unilateral lip and palate cleft and nasal deformity was recruited.The nose-lip area was scanned by a 3D human body scanner and transformed into 3D digital model by the reverse engineering software.The nasal data of the normal side was mirrored to cover the deformed side and processed by the re-verse engineering software,which became the original data of the presurgical nasal stent.Nasal stent was manufactured by rapid proto-typing machine.The stent was applied for the patient to correct the nasal deformity.Results:The original data of the nose-lip area were obtained via scanning within 0.1 second,and the 3D model was reconstructed by the reverse engineering software.The nasal stent made by CAD/CAMtechnique matched perfectly with the models and fitted well when tried on the patient's face.The appearance of the deformed nose was obviously improved by the nasal stent.Conclusion:CAD/CAMtechnologies can be used in the design and manu-facture of individual nasal stent for infants with cleft palate and nasal deformity.
2.Research progress on risk prediction models of postoperative pulmonary complications after lung cancer surgery
Ting DENG ; Jiamei SONG ; Jin LI ; Xiaoyan WU ; Lishan WU ; Shaolin CHEN
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):263-269
Risk prediction models for postoperative pulmonary complications (PPCs) can assist healthcare professionals in assessing the likelihood of PPCs occurring after surgery, thereby supporting rapid decision-making. This study evaluated the merits, limitations, and challenges of these models, focusing on model types, construction methods, performance, and clinical applications. The findings indicate that current risk prediction models for PPCs following lung cancer surgery demonstrate a certain level of predictive effectiveness. However, there are notable deficiencies in study design, clinical implementation, and reporting transparency. Future research should prioritize large-scale, prospective, multi-center studies that utilize multiomics approaches to ensure robust data for accurate predictions, ultimately facilitating clinical translation, adoption, and promotion.