Machine Learning Model Based on Radiomics for Preoperative Differentiation of Jaw Cystic Lesions.

Objective: This study aims to use machine learning techniques together with radiomics methods to build a preoperative predictive diagnostic model from spiral computed tomography (CT) images. The model is intended for the differential diagnosis of common jaw cystic lesions.

Study Design: Retrospective, case-control study.

Navigation-based endoscopic enucleation (NBEE) of large mandibular cystic lesions involving the ramus.

Objective: The aim of this study was to present an innovative surgical protocol, navigation-based endoscopic enucleation (NBEE) for the treatment of large mandibular cystic lesions involving the mandibular ramus.

Methods: Twelve patients who presented with a large mandibular cystic lesion involving the mandibular ramus were enrolled in this study. Preoperative planning and intraoperative navigation were performed in all 12 patients.

Adipose-derived stem cells promote the proliferation, migration, and invasion of oral squamous cell carcinoma cells by activating the Wnt/planar cell polarity signaling pathway.

Background: Oral squamous cell carcinoma (OSCC) is the most common malignancy of the oral and maxillofacial region. Adipose-derived stem cells (ADSCs) interact with a variety of malignant tumors to promote their proliferation and metastasis. Abnormalities in Wnt/planar cell polarity (PCP) signaling and overactivation of the signaling pathway are considered to be related to the occurrence and development of various malignant tumors.