Method for quantitatively analyzing cell nucleus DNA in tissue slice

Abstract

The invention belongs to the technical field of pathology, and relates to a method for quantitatively analyzing cell nucleus DNA in a tissue slice, in particular to a method for quantitatively analyzing the cell nucleus DNA in the tissue slice by applying a mathematical optimization method. According to the method, a statistical processing method taking mathematical optimization as a principle is adopted, DNA content values of all cells in each pathological section are sorted according to mathematical medians, cells with median values smaller than the median values are eliminated, and then next-step analysis processing is carried out. According to the invention, clinical verification is carried out on the method, and a satisfactory effect is obtained; the method solves the problem that the ICM technology can only be used for auxiliary pathological diagnosis of cell smears and cannot be used for artificial intelligence pathological diagnosis of tissue slices, and plays an important role in intelligent diagnosis and grading of benign and malignant tumors in pathological tissue slices.

Description

technical field [0001] The invention belongs to the technical field of medical pathology, and relates to a method for quantitatively analyzing cell nucleus DNA in tissue slices, in particular to a method for quantitatively analyzing cell nucleus DNA in tissue slices by applying a mathematical optimization method. Background technique [0002] The prior art discloses that pathology is the gold standard for tumor diagnosis in clinical medicine. So far, the pathological diagnosis of tumors usually relies on the collection and preparation of tissue, and then the pathologist observes under the microscope, and diagnoses according to the morphological changes; this traditional qualitative method is not only inefficient, but also highly subjective, especially for some tumors In terms of grading and definition of benign and malignant, the diagnostic results of different organizations or individuals are quite different, which brings troubles to clinical treatment. Therefore, patholog...

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Problems solved by technology

[0006] With the deepening of the application of ICM technology, by the end of the 1990s it was discovered that although this technology has achieved great success in the diagnosis of cell smears, it has a fatal flaw in the application of tissue sections: the vast majority of cytological samples The nucleus is complete, and the DNA content of a complete normal diploid cell is 7.18pg, while the nucleus in the tissue section is incomplete, only a fragment or a plane

[0007] For the analysis of nuclear DNA content and ploidy in tissue sections, using the previous image data processing method, the main problems are: (1) the same ploidy, shape and volume, or the same ploidy and shape, different volume or the same ploidy; Different shapes of complete nuclei can form different sized nuclei slices in the same thin section, and different integrated absorbance values ​​will be mistaken for cells of different ploidy; (2) different ploidy, same shape and volume or different ploidy and shape, the same volume or different ploidy and volume, complete nuclei of the same shape, different size nuclei slices in the same thin section, the same integrated absorbance can be measured, and will be mistaken for the same magnification (3) The volume of most diploid reference cell nuclei in the tissue is smaller than the volume of tumor cell nuclei, and the percentage of the slice volume in the same thin section to its own complete volume is larger than that of tumor cells, based on the mean value of the measurement The calculated DNA ploidy value of tumor cells is small, and the degree of smallness is difficult to estimate (Wang Xin, Zhao Tianru, Ma Hongda, etc. Factors affecting the measurement accuracy in image measurement and analysis of DNA content. Journal of Tianjin Medical University. 1998; 4(3 ): 259-260)

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