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CT Predictors of Sub-centimeter Occult Lymph Node Metastases in Oral Cavity Squamous Cell Carcinoma: A Case-control Study

Overview
Journal Neuroradiol J
Publisher Sage Publications
Specialties Neurology
Radiology
Date 2023 Dec 26
PMID 38148295
Authors
Affiliations
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Abstract

Background: For patients with oral cavity squamous cell carcinoma (OCSCC) without evidence of nodal metastasis (cN0) on pre-operative evaluation, there are no clear guidelines who should undergo elective neck dissection (END) versus clinical surveillance.

Objective: To identify CT imaging characteristics of sub-centimeter lymph nodes that would help predict the likelihood of nodal metastases on pathology.

Methods: Retrospective review of cN0 OCSCC patients at a tertiary academic medical center was performed. Inclusion criteria included elective neck dissection, pre-operative CT imaging and presence of metastatic disease within lymph nodes. Control group consisted of patients without nodal metastases on pathology. CT features that were evaluated included asymmetric size, disrupted fatty hilum, asymmetric number, presence of cortical nodule, cortical nodule size, and round/oval shape. We evaluated the associations between CT LN features and the presence of metastases using multi-level mixed-effects logistic regression models. Model evaluation was performed using 5-fold cross-validation. The positive predictive value (PPV) and negative predictive value (NPV) were calculated.

Results: 26 patients in each study and control groups were included. Three-level mixed-effects logistic regression models indicated round/oval shape (OR = 1.39, = .01), asymmetric number (OR = 7.20, = .005), and disrupted fatty hilum (OR = 3.31, = .04) to be independently predictive in a 3-variable model with sensitivity = 38.0%, specificity = 92.0%, and PPV = 93.8%.

Conclusions: In cN0 OCSCC patients undergoing END, round/oval shape, asymmetric number, and disrupted fatty hilum of lymph nodes on pre-operative CT imaging are novel and highly predictive of occult nodal disease.

Citing Articles

Early Detection of Lymph Node Metastasis Using Primary Head and Neck Cancer Computed Tomography and Fluorescence Lifetime Imaging.

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PMID: 39335776 PMC: 11430879. DOI: 10.3390/diagnostics14182097.


Insights into metastatic roadmap of head and neck cancer squamous cell carcinoma based on clinical, histopathological and molecular profiles.

Mastronikolis N, Delides A, Kyrodimos E, Piperigkou Z, Spyropoulou D, Giotakis E Mol Biol Rep. 2024; 51(1):597.

PMID: 38683372 PMC: 11058607. DOI: 10.1007/s11033-024-09476-8.

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