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1.
J Microsc Ultrastruct ; 9(2): 55-60, 2021.
Article in English | MEDLINE | ID: mdl-34350100

ABSTRACT

INTRODUCTION: In forensic science, the determination of age plays a vital role in the identification of bodies and persons associated with crimes. Teeth are frequently better conserved than any other human remains, so their use for identifying age at death is vital. The root portion of the teeth is covered by a thin calcified layer called cementum, the annulations of which is considered to be helpful in age estimation. The objective of the study was to ascertain and compare the accuracy and efficiency of age estimation between light, polarized, and phase-contrast microscopy in the ground and decalcified sections of the tooth stained with hematoxylin and eosin by light microscopy and picrosirius red (PSR) by polarized microscopy. MATERIALS AND METHODS: Fifty extracted teeth were collected and stored in a solution of 10% formalin. The middle one-third portion of the root was used, later sectioned into two halves using carborundum disc. One-half of it was used to prepare ground sections, which was studied with light, polarized, and phase-contrast microscopy. The other half was decalcified with 10% formic acid, processed, and two sections of 5 -µm thickness were prepared. One was stained with PSR stain and the second section was stained with hematoxylin and eosin (H and E) stain, One was stained with PSR stain and the second section was stained with hematoxylin and eosin (H and E) stain. Statistical analysis was performed using Z-test and Karl Pearson's correlation coefficient. RESULTS: No statistically significant difference was observed between actual and calculated age in the ground sections, while there was a statistically significant difference observed between actual and calculated age in decalcified sections stained with H and E and PSR. A strong positive correlation was observed between actual and calculated age by Karl Pearson correlation coefficient test. CONCLUSION: Cemental annulation and phase contrast microscopy can be reliably utilized in forensic science to establishing age, especially among young and middle age group individuals.

2.
J Cancer Res Ther ; 14(2): 361-367, 2018.
Article in English | MEDLINE | ID: mdl-29516920

ABSTRACT

INTRODUCTION: Oral squamous cell carcinoma (OSCC) accounts 94% of all malignant lesions in the oral cavity. In the assessment of OSCC, nowadays the WHO grading system has been followed widely but due to its subjectivity, investigators applied the sophisticated technique of computer-assisted image analysis in the grading of carcinoma in larynx, lungs, esophagus, and cervix to make it more objective. AIMS AND OBJECTIVES: Access, analyze, and compare the cellular area (CA); cytoplasmic area (Cyt A); nuclear area (NA); nuclear perimeter (NP); nuclear form factor (NF); and nuclear-cytoplasmic ratio (N/C) of the cells in different grades of OSCC. MATERIALS AND METHODS: Fifty OSCC cases were obtained and stained with hematoxylin and eosin which were graded according to the WHO classification. The sections were subjected to morphometric analysis to analyze all the morphometric parameters in different grades of OSCC and subjected to one-way ANOVA statistical analysis. RESULTS: CA and Cyt A decreased from normal mucosa with dedifferentiation of OSCC. The NA and NP increased in carcinoma group when compared to normal mucosa but decreased with dedifferentiation of OSCC (P < 0.05). NF had no significance with normal mucosa and different grades of OSCC (P > 0.05), while N/C ratio increased from normal mucosa through increasing grades of OSCC, reaching the highest value in poorly differentiated squamous cell carcinoma (P < 0.05). CONCLUSION: Both cellular and nuclear variables provide a more accurate indication of tumor aggressiveness than any single parameter. Morphometric analysis can be a reliable tool to determine objectively the degree of malignancy at the invasive tumor front.


Subject(s)
Carcinoma, Squamous Cell/diagnostic imaging , Carcinoma, Squamous Cell/pathology , Epithelial Cells/pathology , Image Processing, Computer-Assisted/methods , Mouth Mucosa/pathology , Mouth Neoplasms/diagnostic imaging , Mouth Neoplasms/pathology , Biomarkers, Tumor , Cell Nucleus/pathology , Humans , Image Interpretation, Computer-Assisted/methods , Immunohistochemistry , Microscopy/methods , Neoplasm Grading
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