AI Article Synopsis
- This study analyzed different types of thyroid tumors (14 follicular adenomas, 10 papillary carcinomas, and 11 follicular carcinomas) using advanced digital imaging techniques.
- The researchers scanned surgical specimens and applied image processing to study the cell nuclei, focusing on their chromatin texture.
- The findings showed that through computer analysis, they could effectively distinguish between benign and malignant tumors based on specific characteristics of the chromatin.
Article Abstract
This study of 14 follicular adenomas, 10 papillary carcinomas and 11 follicular carcinomas of the human thyroid gland demonstrates the possibility of a cytological tumor classification using digital picture processing. Routinely prepared, HE-stained imprints of surgical specimens were scanned under a light microscope at high resolution with a colour TV camera. The cell nuclei were segmented and analysed with an image processing system. The computer-aided cytophotometric methods detected the most significant differences in the chromatin texture with a criteria variance of texture line distances and texture points per texture knots. Using these criteria benign and malignant tumor types could be successfully differentiated.
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Examination of exfoliated urothelial cells present in the urine has been shown to be useful by cytologists, but urinary cytology is not yet widely accepted for routine diagnostic purposes. The accuracy of urinary cytology is almost limited to high-grade transitional carcinoma (grade II-III), but is of limited value in the diagnosis of benign papilloma and low-grade tumors (grade I). The sensitivity of cytology would be increased from 50% to 80% by using a computer-based cytophotometric microscope, especially in differentiating grade I tumors.
View Article and Find Full Text PDFComputer-based cytophotometric classification of thyroid tumors in imprints.
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Article Synopsis
- This study analyzed different types of thyroid tumors (14 follicular adenomas, 10 papillary carcinomas, and 11 follicular carcinomas) using advanced digital imaging techniques.
- The researchers scanned surgical specimens and applied image processing to study the cell nuclei, focusing on their chromatin texture.
- The findings showed that through computer analysis, they could effectively distinguish between benign and malignant tumors based on specific characteristics of the chromatin.
Examination of exfoliated urothelial cells present in the urine has been shown to be diagnostic by many researchers, but cytology is not yet widely accepted for routine diagnostic purposes. Cytology is highly efficient in the primary diagnosis of high grade transitional carcinoma (grade II-III) but of limited value in the diagnosis of benign papilloma and low grade tumors. The sensitivity of cytology would be increased by improving the techniques of collecting cells out of urine, using highly sensitive staining techniques and by objective cytologic measuring methods.
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