High‐grade radiologic extra‐nodal extension predicts distant metastasis in stage II nasopharyngeal carcinoma

Background To investigate the prognostic value of radiologic extra‐nodal extension (rENE) in stage II nasopharyngeal carcinoma (NPC). Methods Stage II NPC patients with N1 category (n = 365) were enrolled and divided into three groups according to the situation of rENE: without rENE, suspected rENE,...

Full description

Saved in:
Bibliographic Details
Published inHead & neck Vol. 41; no. 9; pp. 3317 - 3327
Main Authors Hu, Yujun, Lu, Tianzhu, Huang, Shao Hui, Lin, Shaojun, Chen, Yunbin, Fang, Yanhong, Zhou, Han, Chen, Yiping, Zong, Jingfeng, Zhang, Yu, Chen, Ying, Pan, Jianji, Xiao, Youping, Guo, Qiaojuan
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.09.2019
Wiley Subscription Services, Inc
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Background To investigate the prognostic value of radiologic extra‐nodal extension (rENE) in stage II nasopharyngeal carcinoma (NPC). Methods Stage II NPC patients with N1 category (n = 365) were enrolled and divided into three groups according to the situation of rENE: without rENE, suspected rENE, and confirmed rENE (grades: A, infiltration into surrounding fat; B, matted nodes; C, infiltration into adjacent structures). Results Only high‐grade rENE (including matted nodes and infiltration into adjacent structures) could significantly influence the survival outcomes, patients with high‐grade rENE had significantly poorer survival than those without, with the 7‐year distant metastasis‐free survival and overall survival demonstrated to be 78.5% vs 93.0% (P < .001) and 81.9% vs 89.9% (P = .05), respectively. High‐grade rENE, as defined in our study, is a stable criterion, with high intra‐rater and inter‐rater consistency. Conclusion High‐grade rENE was an evaluable predictor that could help with the selection of stage II patients with high risk of distant metastasis.
Bibliography:Funding information
National Natural Science Foundation of China, Grant/Award Number: U1405221; Fujian Provincial Natural Science Foundation of China, Grant/Award Numbers: 2016J01438, 2018J01275, 2019J01194; Science and Technology Program of Fujian Province, Grant/Award Number: 2018Y2003; Startup Fund for scientific research, Fujian Medical University, Grant/Award Number: 2017XQ2050
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1043-3074
1097-0347
1097-0347
DOI:10.1002/hed.25842