A model to predict nodal metastasis in patients with oral squamous cell carcinoma

R K De Silva, B S M S Siriwardena, A Samaranayaka, W A M U L Abeyasinghe and W M Tilakaratne

PLOS ONE, 2018, vol. 13, issue 8, 1-16

Abstract: Difficulty in precise decision making on necessity of surgery is a major problem when managing oral squamous cell carcinomas (OSCCs) with clinically negative neck. Therefore, use of clinical and histopathological parameters in combination would be important to improve patient management. The main objective is to develop a model that predicts the presence of nodal metastasis in patients with OSCC.623 patients faced neck dissections with buccal mucosal or tongue squamous cell carcinoma (SCC) were selected from patients’ records. Demographic data, clinical information, nodal status, Depth of invasion (DOI) and pattern of invasion (POI) were recorded. The parameters which showed a significant association with nodal metastasis were used to develop a multivariable predictive model (PM). Univariate logistic regression was used to estimate the strengths of those associations in terms of odds ratios (OR). This showed statistically significant associations between status of the nodal metastasis and each of the following 4 histopathological parameters individually: size of the tumour (T), site, POI, and DOI. Specifically, OR of nodal metastasis for tongue cancers relative to buccal mucosal cancers was 1.89, P-value

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0201755

DOI: 10.1371/journal.pone.0201755

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