Grossing of Oral Pathologies-Revisited.

Grossing pathologies, otherwise known as macroscopic cutup for diagnostic information, is a vital laboratory step as it impacts the patient treatment and prognosis. However, it is a challenging skill acquired with keen observation, experience, and correlation between macroscopy and microscopy. Before we make an attempt to gross, it is imperative to have sound knowledge about its general principles and its applications as it differs among different lesions. Thereby, we have made an attempt to enhance the guidelines for gross description and also updated on the general principles. A practical insight has been provided with respect to grossing of oral mucosal biopsies, pathology of malignancies, odontogenic cysts, cystic odontogenic tumors, salivary gland pathologies, and lymph nodes along with the brief history of gross pathology.

Chemiluminescence: a diagnostic adjunct in oral precancer and cancer: a review.

Oral cancer is one of the most common cancers in India. It's also associated with poor survival rate. Early diagnosis is the only way of reducing the high morbidity and mortality associated with it. However, most often there is delay in its diagnosis. Several adjuncts have been developed to aid in the diagnosis of cancer in its pre-cancerous and early stage. Chemiluminescence is one of the newly developed adjuncts, which is still in its infancy. This article reviews chemiluminescence technique and its applications in oral cancer diagnosis.

Morphometric evaluation of AgNORs in odontogenic cysts.

OBJECTIVE: To evaluate the morphometry of AgNORs in odontogenic cysts and to compare their biologic behavior to determine whether AgNOR morphometry is helpful in predicting the behavior. STUDY DESIGN: Ten cases each of odontogenic keratocyst (OKC), dentigerous cyst (DC) and radicular cyst (RC) were stained with silver nitrate. Morphometric analysis of 100 selected epithelial and connective tissue cells was done to record their nuclear volume, nuclear perimeter, contour index of the nucleus, AgNOR count, AgNOR proportion and single AgNOR volume. The results were statistically analyzed using ANOVA. RESULTS: AgNOR count, nuclear volume and nuclear perimeter were greatest in the OKC followed by DC and RC, suggesting that these parameters differentiate between the aggressive and less aggressive odontogenic cysts. Single AgNOR volume and AgNOR proportion were greatest in the RC followed by OKC and DC, respectively. CONCLUSION: Results of our study taken in isolation point to AgNOR count as the most reliable factor in differentiating between aggressive and nonaggressive odontogenic cysts.