A digital workflow to predict facial aesthetics in patients with maxillofacial trauma with implant retained prostheses.

Purpose To introduce a digital workflow for the prediction of facial aesthetics, especially in patients with dentation deformity caused by maxillofacial trauma.Methods Cone-beam computed tomography (CBCT) and three-dimensional facial scans of patients with radiographic prostheses were collected. The aforementioned data were uploaded to ProPlan CMF software and merged to generate a virtual patient with craniofacial hard tissue, realistic facial soft tissue, and remaining dentition. The radiographic prostheses were scanned to form a digital cast, which was fitted with its CBCT image to create the virtual prostheses. Postoperative facial soft tissue was simulated according to the movement of the virtual prostheses. An appropriate virtual diagnostic prosthesis plan was selected by the patient and dentist. Subsequently, prosthetically driven implant guide and restoration were designed and fabricated.Conclusions A virtual patient was successfully constructed. A 4-mm protrusion of the virtual prosthesis was chosen. Subsequently, implant surgery was performed, and dental prostheses were fabricated based on this location. The fusion of the postoperative facial scan and preoperative facial prediction was found to be coincident. This technique can effectively predict facial aesthetic features of patients with maxillofacial trauma, facilitate communication with patients, reduce chairside time, and guide the multidisciplinary design of implant placement and restoration fabrication.

KRAS, BRAF and PIK3CA mutations in human colorectal cancer: relationship with metastatic colorectal cancer.

Many abnormal gene expressions and dysregulated signaling pathways have been found in human colorectal cancer. Activating mutations of the KRAS, BRAF or PIK3CA oncogenes are frequently found in colorectal cancer. The aim of the study was to investigate the molecular occurrence of KRAS, BRAF and PIK3CA mutations in the colorectal tumorigenesis and to study the association of these events with clinicopathological parameters. In our study, DNA was extracted from 200 cases of human colorectal cancer tissue samples. KRAS, BRAF and PIK3CA mutation analysis was performed by PCR and pyrosequencing. Using statistical methods, we analyzed the relationships between the gene mutations and clinicopathological parameters. KRAS point mutations were detected in 63/200 patients (31.5%), with codon 12 mutations in 52/200 patients (26%), codon 13 mutations in 10/200 patients (5%) and codon 12.13 bi-mutations in 1/200 patients (0.5%). The V600E mutations of BRAF were detected in 14/200 patients (7%). PIK3CA point mutations (exon 9, exon 20) were detected in 25/200 (12.5%) patients, exon 9 mutatons in 12/200 patients (6%) and exon 20 mutations in 13/200 (6.5%). Our study suggested that both KRAS and BRAF mutations are exclusive, but KRAS and PIK3CA mutations are coexistent. The mutational status of BRAF did not correlate with Dukes' staging, histological type, age and gender. However, strong associations were found between KRAS, PIK3CA mutations and Dukes' staging (staging D, 12/25, 48%). Notably, our data indicated that colorectal cancers with KRAS and PIK3CA bi-mutations are more likely to develop into liver metastasis.