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Radiomics in Otolaryngology-Head and Neck Surgery: A Review.
Alexandra T Bourdillon1, Alexandria Yao2, Andrés M Bur3
1Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco.
JAMA Otolaryngology-- Head & Neck Surgery
|February 12, 2026
Summary
Radiomics shows promise in otolaryngology for improving diagnosis and treatment personalization. Standardization and validation are key for integrating these imaging biomarker tools into clinical practice.
Area of Science:
- Radiomics leverages quantifiable imaging biomarkers to correlate with histopathology and clinical outcomes.
- This field offers significant potential within otolaryngology due to complex anatomy and diverse pathologies.
Background:
- Radiomics applications in otolaryngology primarily focus on neoplasms of the upper airway, larynx, sinonasal passages, and skull base.
- Current applications include diagnostic classifiers for occult features, prognosticators for recurrence and survival, and predictors of treatment response.
Purpose of the Study:
- To establish methodological frameworks for radiomics in otolaryngology.
- To identify common limitations hindering clinical translation.
- To evaluate the current landscape and future potential of radiomics in the field.
Main Methods:
- This review synthesized existing literature on radiomics applications in otolaryngology.
- Methodological frameworks, limitations, and current advancements were analyzed.
- The review focused on diagnostic, prognostic, and treatment prediction applications.
Main Results:
- Radiomics can classify occult pathologic features and predict recurrence/survival, with hybrid models outperforming single-modality approaches.
- Techniques like dosiomics and δ-radiomics show potential in predicting treatment response and toxicity.
- Despite advances, challenges like variable protocols, manual segmentation, small cohorts, and lack of validation impede clinical use.
Conclusions:
- Radiomics, integrated with clinical and pathologic data, can enhance otolaryngology diagnosis, prognostication, and treatment personalization.
- Standardization of imaging protocols, multi-institutional validation, and clinical workflow integration are crucial for adoption.
- Refined radiomics applications can streamline workflows and guide treatment planning.
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