The prognostic value of image-identified extranodal extension in laryngeal and hypopharyngeal carcinoma following definitive (chemo-)radiotherapy

Our study confirms the independent prognostic importance of iENE for LHC following definitive (chemo-)radiotherapy beyond TNM-8 cN status that already contains the cENE parameter. Further research is needed to explore whether iENE could replace cENE for future cN classification.

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Publication Details

Journal
Oral Oncology
Published
2024-08-23
DOI
https://doi.org/10.1016/j.oraloncology.2024.107007
Citations
5
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
2.90
Controls
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article

The prognostic value of image-identified extranodal extension in laryngeal and hypopharyngeal carcinoma following definitive (chemo-)radiotherapy

Andrew Hope, Tong Li, Ezra Hahn, Andrew McPartlin et al.
5 citations
Oral Oncology
Head and Neck Cancer Studies
2.90
article

The prognostic value of image-identified extranodal extension in laryngeal and hypopharyngeal carcinoma following definitive (chemo-)radiotherapy

Andrew Hope, Tong Li, Ezra Hahn, Andrew McPartlin, Eugene Yu, Jolie Ringash, John Waldron, Brian O’Sullivan, Ali Hosni, Wei Xu, Scott V. Bratman, John R. de Almeida, Jie Su, Anna Spreafico, Shao Hui Huang, John Cho, John Kim, Sulaiman Alsheikh, Jillian Tsai, Enrique Sanz Garcia
article en
5 citations

Abstract

Our study confirms the independent prognostic importance of iENE for LHC following definitive (chemo-)radiotherapy beyond TNM-8 cN status that already contains the cENE parameter. Further research is needed to explore whether iENE could replace cENE for future cN classification.

Oral OncologyVol. 158
University of Toronto (CA), Princess Margaret Cancer Centre (CA)
Zero hunger
Openalex Percentile: Top 9%
Head and Neck Cancer Studies
2.90
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The prognostic value of image-identified extranodal extension in laryngeal and hypopharyngeal carcinoma following definitive (chemo-)radiotherapy — Andrew Hope, Tong Li, et al. · Oral Oncology (2024) | TGRS Research Map | TGRS