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Imaging-Detected Extranodal Extension in Head and Neck Cancer: Current Evidence, Standardized Grading, and Clinical
Jeong Hyun Lee1, Dongjun Lee2, Young Jun Choi2
1Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea. jeonghlee@amc.seoul.kr.
Korean Journal of Radiology
|March 31, 2026
Summary
Imaging-detected extranodal extension (iENE) in head and neck cancer offers prognostic insights, especially for nonsurgical patients. Standardizing iENE definitions is crucial for consistent clinical application and risk-adapted treatment planning.
Area of Science:
- Oncology
- Radiology
- Head and Neck Cancer Research
Background:
- Extranodal extension (ENE) of metastatic lymph nodes is a known adverse prognostic factor in head and neck cancer.
- Traditionally, ENE is confirmed pathologically, but imaging-detected ENE (iENE) allows for pre-treatment assessment.
Purpose of the Study:
- To review the current evidence on the prognostic and diagnostic roles of iENE in head and neck cancer.
- To outline recent developments in iENE classification and discuss future integration into treatment planning.
Main Methods:
- Review of recent studies and meta-analyses on iENE in head and neck cancer.
- Analysis of revisions to staging systems incorporating iENE.
- Discussion of international efforts to standardize iENE definitions.
Main Results:
- iENE shows an independent association with adverse outcomes in nasopharyngeal carcinoma and HPV-positive oropharyngeal carcinoma.
- Growing evidence supports iENE's prognostic relevance, influencing staging system revisions.
- Challenges remain due to interobserver variability and imperfect correlation with pathological ENE (pENE).
Conclusions:
- iENE is a valuable prognostic tool, particularly in nonsurgical patient groups.
- Standardization of iENE definitions is essential to reduce variability and improve clinical validity.
- Further research and standardization are needed for optimal integration of iENE into risk-adapted treatment strategies for head and neck cancer.
