ArticlePloS one2014
Applicability of preoperative nuclear morphometry to evaluating risk for cervical lymph node metastasis in oral squamous cell carcinoma.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 14 citations in OpenAlex.
- A preoperative nomogram model for the prediction of lymph node metastasis in buccal mucosa cancer.Cancer medicine · 2023Article
- Quantitative nuclear phenotype signatures predict nodal disease in oral squamous cell carcinoma.PloS one · 2021Article
- Ordinal logistic regression model describing factors associated with extent of nodal involvement in oral cancer patients and its prospective validation.BMC medical research methodology · 2020Article
- Clinical Spectrum, Pattern, and Level-Wise Nodal Involvement Among Oral Squamous Cell Carcinoma Patients - Audit of 945 Oral Cancer Patient Data.Indian journal of surgical oncology · 2020Article
- Nuclear PKM2 promotes the progression of oral squamous cell carcinoma by inducing EMT and post-translationally repressing TGIF2.Oncotarget · 2018Article
- Diagnostic accuracy of oral cancer cytology in a pilot study.Diagnostic pathology · 2017Article
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10 authors at 3 institutions in 1 country.
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Abstract
backgroundWe previously reported the utility of preoperative nuclear morphometry for evaluating risk for cervical lymph node metastases in tongue squamous cell carcinoma. The risk for lymph node metastasis in oral squamous cell carcinoma, however, is known to differ depending on the anatomical site of the primary tumor, such as the tongue, gingiva, mouth floor, and buccal mucosa. In this study, we evaluated the applicability of this morphometric technique to evaluating the risk for cervical lymph node metastasis in oral squamous cell carcinoma.
methodsA digital image system was used to measure the mean nuclear area, mean nuclear perimeter, nuclear circular rate, ratio of nuclear length to width (aspect ratio), and nuclear area coefficient of variation (NACV). Relationships between these parameters and nodal status were evaluated by t-test and logistic regression analysis.
resultsEighty-eight cases of squamous cell carcinoma (52 of the tongue, 25 of the gingiva, 4 of the buccal mucosa, and 7 of the mouth floor) were included: 46 with positive node classification and 42 with negative node classification. Nuclear area and perimeter were significantly larger in node-positive cases than in node-negative cases; however, there were no significant differences in circular rate, aspect ratio, or NACV. We derived two risk models based on the results of multivariate analysis: Model 1, which identified age and mean nuclear area and Model 2, which identified age and mean nuclear perimeter. It should be noted that primary tumor site was not associated the pN-positive status. There were no significant differences in pathological nodal status by aspect ratio, NACV, or primary tumor site.
conclusionOur method of preoperative nuclear morphometry may contribute valuable information to evaluations of the risk for lymph node metastasis in oral squamous cell carcinoma.
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