Of the grading systems evaluated, Histologic Risk Assessment demonstrated the best results for survival prediction in oral squamous cell carcinoma.

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Aim: To compare the clinicopathological profile of oral squamous cell carcinoma (OSCC) in groups with and without recurrence. Methods: Records of all patients who underwent surgery for primary OSCC at a single institution during 1999 were identified. Patient demographics, lesion site, clinical and pathologic stage, pathologic grading, pattern of invasion, lymphocytic infiltrate, perineural invasion, and treatment and survival data were collected. Descriptive statistics were calculated for each variable and survival was calculated using Kaplan-Meier and Cox models. Patients were divided into 2 groups: with (n = 25) and without (n = 28) recurrence. Results: Tongue (p = 0.02) and poorly differentiated (p = 0.04) tumors were associated with recurrence. Kaplan-Meier and Cox models revealed tobacco use and the absence of lymphocytic infiltrate to be associated with the poorest survival in recurrent OSCC. Conclusion: The tumor site, tobacco use, and pathological features were involved in the recurrence of OSCC and should be taken into account for OSCC treatment and follow-up.

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Quantification of immunostaining is a widely used technique in pathology. Nonetheless, techniques that rely on human vision are prone to inter- and intraobserver variability, and they are tedious and time consuming. Digital image analysis (DIA), now available in a variety of platforms, improves quantification performance: however, the stability of these different DIA systems is largely unknown. Here, we describe a method to measure the reproducibility of DIA systems. In addition, we describe a new image-processing strategy for quantitative evaluation of immunostained tissue sections using DAB/hematoxylin-stained slides. This approach is based on image subtraction, using a blue low pass filter in the optical train, followed by digital contrast and brightness enhancement. Results showed that our DIA system yields stable counts, and that this method can be used to evaluate the performance of DIA systems. The new image-processing approach creates an image that aids both human visual observation and DIA systems in assessing immunostained slides, delivers a quantitative performance similar to that of bright field imaging, gives thresholds with smaller ranges, and allows the segmentation of strongly immunostained areas, all resulting in a higher probability of representing specific staining. We believe that our approach offers important advantages to immunostaining quantification in pathology.

This approach provides novel insight into profiles of the salivary proteome during gingival inflammation, which may contribute to improvements in diagnosis.

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