Application of radiomics in head and neck squamous cell carcinoma.
Authors
Affiliations (7)
Affiliations (7)
- Department of Endocrinology, National Health Commission (NHC) Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China.
- Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China.
- Communication Sciences and Disorders, Oklahoma State University, Stillwater, OK 74075, USA.
- School of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, China.
- Department of Radiology, Xiangya Hospital, Central South Univeristy, Changsha, Hunan 410008, China.
- Department of Pathology, Xiangya Hospital, Central South Univeristy, Changsha, Hunan 410008, China; Department of Pathology, School of Basic Medical Science, Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, China. Electronic address: [email protected].
- Department of Radiology, Xiangya Hospital, Central South Univeristy, Changsha, Hunan 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China. Electronic address: [email protected].
Abstract
Head and neck squamous cell carcinoma (HNSCC) is the most prevalent histopathological subtype of head and neck malignancies. Owing to the lack of early specific symptoms, the majority of patients are diagnosed at intermediate or advanced stages, which is associated with an unfavorable prognosis and a substantial decline in quality of life. Radiomics, which leverages large-scale medical imaging data, enables the extraction of high-dimensional quantitative features through advanced image analysis, thereby providing deeper insights into tumor biology. In this review, we summarize recent advances in radiomics for the diagnosis, prognostic prediction, and evaluation of treatment-related toxicity in HNSCC. Furthermore, we highlight emerging applications of radiomics in genomics and proteomics, illustrating the associations between tumor molecular phenotypes and imaging-derived features. Finally, we discuss the challenges related to feature standardization and reproducibility, and outline the key limitations of current radiomics studies.