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Factors predicting peri-neural invasion in hypopharyngeal squamous cell carcinoma

Published online by Cambridge University Press:  28 October 2024

J. Li
Affiliation:
Department of Radiology, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
N. Jiang
Affiliation:
Department of Pathology, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
W. Sun
Affiliation:
Department of Radiology, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
Z. Wang
Affiliation:
Department of Radiology, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
L. Sun
Affiliation:
Department of Radiology, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
L. Wang
Affiliation:
Department of Radiology, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
X. Wang*
Affiliation:
Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, China
*
Corresponding author: X. Wang; Email: wxming369@163.com
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Abstract

Background

Perineural invasion (PNI) is an unfavorable pathological characteristic associated with poor prognosis. The relationship between PNI and clinicopathological features of hypopharyngeal squamous cell carcinoma (HPSCC) remains unclear. The aim of this study was to investigate the relationship between PNI and clinicopathological features and risk factors for PNI in HPSCC.

Methods

Clinicopathological data from 182 patients with HPSCC treated at our hospital between September 2019 and March 2024 were collected and analysed retrospectively.

Results

PNI was observed in 68 (37.4%) patients, and was associated with tumor thickness (TT), lymph node metastasis (LNM), lymphovascular invasion (LVI), number of positive nodes (pN), and lymph node density (LND). PNI was only significantly correlated with TT in the multivariate analysis.

Conclusion

We observed a definite correlation between PNI and TT, LVI, LNM, LND, and pN value. TT emerged as an independent risk factor for PNI, with its incidence increasing with TT.

Information

Type
Main Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of J.L.O. (1984) LIMITED.
Figure 0

Figure 1. The flow diagram showing the selection process of study population.

PNI = peri-neural invasion; HPSCC = hypopharyngeal squamous cell carcinoma
Figure 1

Table 1. Univariate analysis and multiple logistic regression analysis of predictive factors for PNI; Quantitative data were expressed as mean ± standard deviation or median (q1,q3), qualitative data were described by n (%); PNI− = peri-neural invasion negative; PNI+ = peri-neural invasion positive; OR = odds ratio; CI = confidence interval; TD = tumour diameter; TT = tumour thickness; LNM = lymph node metastasis; pN = number of positive lymph nodes; LND = lymph node density; LVI = lymphovascular invasion; ENE = extranodal extension; Bold values denote p-value < 0.05