Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, Shanghai, China.
Department of Oromaxillofacial Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, Shanghai, China.
Front Immunol. 2022 Nov 15;13:1015436. doi: 10.3389/fimmu.2022.1015436. eCollection 2022.
This study aimed to construct a radiomics model that predicts the expression level of in patients with head and neck squamous cell carcinoma (HNSCC).
Genomic data and contrast-enhanced computed tomography (CT) images of patients with HNSCC were downloaded from the Cancer Genome Atlas and Cancer Imaging Archive for prognosis analysis, image feature extraction, and model construction. We explored the potential molecular mechanisms underlying expression and its relationship with the immune microenvironment and predicted mRNA expression in HNSCC tissues. Using non-invasive, CT-based radiomics technology, we generated a radiomics model and evaluated its correlation with the related genes and HNSCC prognosis.
The expression level of in HNSCC may significantly influence the prognosis of patients with HNSCC. Radiomics based on contrast-enhanced CT is potentially effective in predicting the expression level of .
本研究旨在构建一个预测头颈部鳞状细胞癌（HNSCC）患者表达水平的放射组学模型。
从癌症基因组图谱和癌症成像档案中下载 HNSCC 患者的基因组数据和对比增强计算机断层扫描（CT）图像，用于预后分析、图像特征提取和模型构建。我们探索了表达的潜在分子机制及其与免疫微环境的关系，并预测了 HNSCC 组织中表达。使用非侵入性的 CT 基放射组学技术，我们生成了一个放射组学模型，并评估了其与相关基因和 HNSCC 预后的相关性。
HNSCC 中表达水平可能显著影响 HNSCC 患者的预后。基于对比增强 CT 的放射组学在预测表达水平方面具有潜在的有效性。
