Quantitative nuclear morphometry (QNM) provides a reliable, reproducible method for measuring the degree of nuclear pleomorphism, a qualitative parameter widely incorporated into histopathological grading schemes. Nuclear shape has successfully been shown to predict primary prostate adenocarcinoma metastatic potential. This investigation utilized QNM to measure the nuclear pleomorphism of 50 patients with primary laryngeal squamous cell carcinoma to determine whether this computer-assisted method could discriminate between those patients with and without cervical metastases. Nuclear cross-sectional area and nuclear roundness as determined by QNM could not discriminate between patients with and without cervical metastases, though significant alterations in nuclear morphology exist between normal laryngeal squamous epithelium and laryngeal squamous cell carcinoma.

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