Criteria for the diagnosis of extranodal extension detected on radiological imaging in head and neck cancer: Head and Neck Cancer International Group consensus recommendations

医学 头颈部癌 头颈部 放射性武器 放射科 放射成像 癌症 放射治疗 外科 内科学
作者
Christina Henson,Ahmad K Abou-Foul,Eugene Yu,Christine M. Glastonbury,Shao Hui Huang,Ann D. King,William M. Lydiatt,Lachlan McDowell,Alex A Nagelschneider,Paul C Nankivell,Brian O'Sullivan,Rhian Rhys,Youping Xiao,David Andrew,Jon Thor Asmussen,François Bidault,Jan Willem Dankbaar,Pim de Graaf,Eloísa Maria Mello Santiago Gebrim,Chaosu Hu
出处
期刊:Lancet Oncology [Elsevier BV]
卷期号:25 (7): e297-e307 被引量:8
标识
DOI:10.1016/s1470-2045(24)00066-4
摘要

Extranodal extension of tumour on histopathology is known to be a negative prognostic factor in head and neck cancer. Compelling evidence suggests that extranodal extension detected on radiological imaging is also a negative prognostic factor. Furthermore, if imaging detected extranodal extension could be identified reliably before the start of treatment, it could be used to guide treatment selection, as patients might be better managed with non-surgical approaches to avoid the toxicity and cost of trimodality therapy (surgery, chemotherapy, and radiotherapy together). There are many aspects of imaging detected extranodal extension that remain unresolved or are without consensus, such as the criteria to best diagnose them and the associated terminology. The Head and Neck Cancer International Group conducted a five-round modified Delphi process with a group of 18 international radiology experts, representing 14 national clinical research groups. We generated consensus recommendations on the terminology and diagnostic criteria for imaging detected extranodal extension to harmonise clinical practice and research. These recommendations have been endorsed by 19 national and international organisations, representing 34 countries. We propose a new classification system to aid diagnosis, which was supported by most of the participating experts over existing systems, and which will require validation in the future. Additionally, we have created an online educational resource for grading imaging detected extranodal extensions.
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