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Study On The Correlation Between 3.0T Magnetic Resonance Imaging Features Of Breast Cancer With ER,PR,HER2,Ki-67,molecular Subtypes And Pathological Grade

Posted on:2022-08-04Degree:MasterType:Thesis
Country:ChinaCandidate:H LiFull Text:PDF
GTID:2504306542494714Subject:Medical imaging and nuclear medicine
Abstract/Summary:PDF Full Text Request
OBJECTIVE: To explore the correlation of 3.0T magnetic resonance imaging features of breast invasive ductal carcinoma with ER,PR,HER2,Ki-67,molecular subtypes and pathological grades.In a non-invasive way,to evaluate the expression and prognosis of biological factors in tumor cells.Provide a basis for formulating individualized treatment plans and prognostic judgments in the early clinical stage.MATERIALS AND METHODS: Collect breast cancer patients diagnosed in our hospital from July 2019 to February 2021.Dynamic enhanced MRI scans were performed after admission.A total of 82 patients with invasive ductal carcinoma(IDC)of the breast were diagnosed by pathology and immunohistochemistry after operation,and a total of 82 lesions were included in the study criteria.The patients were all female,aged 29-82 years old,with an average age of(56±12)years old.The imaging data of all patients were comprehensively interpreted by two senior breast imaging diagnosis experts.The recorded content includes(1)MRI morphology of breast IDC lesions: the quadrants of the lesion distribution,The maximum diameter of the lesion,the image shape of the lesion,the edge of the lesion,T2 WI fat pressure signal Strength,DWI signal strength and enhancement method.(2)TIC curve types.(3)Hemodynamic parameters: including the maximum enhancement rate,time to peak(TTP),wash in rate(WIR),and wash out rate(WOR)of the lesion.Collect and record the postoperative pathology,immunohistochemistry,histological classification,molecular classification and lymph node metastasis of patients.In terms of data analysis,SPSS 25.0 statistical software was used.Because the data in this study are qualitative data,Spearman rank correlation test was selected for correlation analysis,and the positive and negative correlations were determined by r value.The test level was α=0.05,and P< 0.05 difference is statistically significant.Results: 1.The size of tumor lesions was negatively correlated with ER expression to a certain extent(r=-0.285,P=0.009),and it was negatively correlated with PR expression to a certain extent(r=-0.327,P=0.003).However,there was no statistically significant difference between the size of tumor lesions and the expression of HER2 and Ki-67,and no obvious correlation(all P values> 0.05).2.The time-signal intensity curve(TIC)type of tumor lesions is positively correlated with Ki-67 expression to a certain extent(r=0.222,P=0.045).However,there was no statistically significant difference between the type of enhancement curve and the expression of ER,PR and HER2,and no significant correlation was found(all P values> 0.05).3.The tumor location,shape,edge,T2 WI fat pressure signal intensity,DWI signal intensity,enhancement method,and lymph node metastasis were not statistically different with the biochemical prognostic factors,and there was no significant correlation(all P values> 0.05).4.The hemodynamic parameters of tumor lesions,including the maximum enhancement rate,wash in rate(WIR),wash out rate(WOR),and time to peak(TTP)of the tumor lesion,were not statistically different with each biochemical prognostic factor,and no significant correlation was found(all P values> 0.05).5.The size of tumor lesions is positively correlated with molecular classification(r=0.270,P=0.014).However,the tumor location,shape,edge,T2 WI fat pressure signal intensity,DWI signal intensity,enhancement method,time-signal intensity curve type,and lymph node metastasis were not statistically different from molecular classification,and no significant correlation was found(all P values> 0.05).6.There was no statistically significant difference between tumor location,size,shape,edge,T2 WI fat pressure signal intensity,DWI signal intensity,enhancement method,time-signal intensity curve type,lymph node metastasis and histological grade.No significant correlation was found(all P values> 0.05).7.There was no significant correlation between age grouping,menopause status and various molecular biological prognostic indicators,histological grades and molecular typing(P>0.05).Conclusion: When breast invasive ductal carcinoma is diagnosed,the diameter of the lesion can predict the positive expression of ER and PR,that is,as the diameter of the tumor lesion becomes larger,the expression of ER and PR may become negative,the degree of malignancy is higher,and the prognosis degree becomes worse.The TIC curve of tumor lesions tends to be type III,and the positive expression rate of Ki-67 is also higher,indicating that the lower the degree of tumor differentiation,the higher the cell proliferation ability and proliferation activity,and the worse the prognosis.The diameter of the tumor lesion can predict the molecular classification.As the diameter of the lesion becomes larger,it indicates that it is more aggressive and tends to be triple-negative breast cancer with a poor prognosis.Therefore,for breast invasive ductal carcinoma,the3.0T magnetic resonance imaging characteristics can be used to observe the biological prognosis of the tumor to a certain extent,and provide a basis for guiding the clinical selection of a reasonable comprehensive treatment plan.
Keywords/Search Tags:Invasive ductal carcinoma of the breast, Magnetic resonance imaging, Biological factors, Molecular typing, Pathological grading
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