Method for detecting P53 protein expression in brain tumor

Abstract

The invention discloses a magnetic resonance image analysis-based method for detecting P53 protein expression in a brain tumor. The method comprises the following steps: (1) collecting magnetic resonance images of a T1 weighted sequence, a T1 reinforced sequence and a fluid attenuated inversion recovery (FLAIR) sequence of a patient with brain tumor; (2) intercepting lesion area images in the magnetic resonance image from anyone of the sequences, combining the lesion area images into a lesion area image set, and marking the lesion area images as P53 protein expression positive or negative; (3) analyzing images of the lesion area image set, extracting image characteristics in the lesion area images, and combining the image characteristics into a lesion area sample set; (4) randomly selecting part of samples from the lesion area sample set as a training sample set, and combining other samples into a verification sample set, and training a classifier by using the training sample set; and(5) classifying the verification samples by using the trained classifier to obtain the situation of the brain tumor P53 protein expression of the verification samples.

Description

technical field [0001] The invention belongs to the technical field of image processing and pattern recognition, and in particular relates to a method for detecting the expression status of brain tumor P53 protein through magnetic resonance image analysis. Background technique [0002] Glioma is the most common tumor of the central nervous system. It has the characteristics of long treatment cycle, easy recurrence, high morbidity and mortality, and poses a great threat to the health and life of patients. At present, early diagnosis of glioma can be achieved, and timely surgery, radiotherapy and chemotherapy can be given, but the prognosis of patients with malignant glioma has not been significantly improved. Afshar et al. (Golnar Afshar, Nannette Jelluma, Yang Xiaodong et al. Radiation-Induced Caspase-8Mediates p53-Independent Apoptosis in Glioma Cells. Cancer Research. 2006, 66(8): 4223-4232) showed that p53 in adult glioma patients Gene mutations are associated with impro...

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Problems solved by technology

[0003] Currently, the most widely used clinical detection method for P53 protein is immunohistochemical technique, which requires surgery to obtain pathological sections of glioma before detection, so it cannot guide the formulation of preoperative treatment plan

At the same time, research by Zhou Xiaojun (Zhou Xiaojun. The correct application of immunohistochemistry in pathological diagnosis. Journal of Diagnostic Pathology. 2003, 10(4): 232-235) showed that immunohistochemical techniques have deficiencies in standardization and quantification of results. The results are susceptible to the subjective influence of the inspector

Currently there is no method for P53 protein detection based on image processing and pattern recognition technology

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