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

Objectives: Clinical extranodal extension (cENE) is a cN modifier in TNM-8 for laryngo-hypopharygeal carcinoma (LHC). We hypothesize that image-detected ENE (iENE) can provide additional prognostic value over cENE in LHC.
Methods: Baseline CTs/MRIs of cN+ LHC patients treated with definitive (chemo-)radiotherapy between 2010-2019 were re-reviewed by a neuroradiologist using internationally accepted criteria for iENE-positive/negative (iENE+/iENE-). Overall survival (OS) was compared by iENE status. Multivariable analysis (MVA) was performed to confirm the prognostic value of iENE, adjusted for known potential confounders.
Results: A total of 232 LHC patients were identified, including 154 iENE-/cENE-, 60 iENE+/cENE-, and 18 iENE+/cENE+. A higher proportion of iENE+ (vs iENE-) patients had lymph node (LN) size > 3 cm [53 (67 %) vs 4 (3 %)], >=5 LNs [51 (65 %) vs 33 (21 %)], and retropharyngeal LN [12 (15 %) vs 6 (4 %)] (all p < 0.01). Median follow-up was 4.8 years. iENE+/cENE- and iENE+/cENE+patients had similarly low 5-year OS [28 % (18-44) and 29 % (13-63)] vs iENE-/cENE- [53 % (45-62)] (p < 0.001). On MVA, mortality risk was higher with iENE+vs iENE- [hazard ratio (HR) 2.22 (95 % CI 1.47-3.36)]. The prognostic value of iENE remained with MVA in larynx (n = 124) (HR 2.51 [1.35-4.68], p = 0.004] or hypopharynx (n = 108) (HR 1.87 [1.02-3.43], p = 0.04) patients, separately.
Conclusions: 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.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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