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The Application Value Of MRI In Non-mass Breast Cancer And Granulomatous Mastitis

Posted on:2021-01-20Degree:MasterType:Thesis
Country:ChinaCandidate:X Y DongFull Text:PDF
GTID:2404330602962866Subject:Oncology
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Objective:To research the application value of magnetic resonance imaging in the differential diagnosis between non-mass breast cancer?NMBC?and Granulomatous mastitis?GM?.Methods:The data of 74 cases of NMBC and 68 cases of GM at the Third Affiliated Hospital of Xinjiang Medical University between December 2016 to December 2018 were retrospectively analyzed.which were involved in clinical characteristics,morphological characteristics of lesions,TIC curve type,and ADC value.Preoperative MRI examination and postoperative pathological biopsy were performed in all patients.T test was adopted to evaluate the significance of difference in the two groups with the differences of Apparent Diffusion Coefficient?ADC?,and chi-square test was applied to estimate the significance of differences of morphological distribution,enhancement characteristics and time-intensity curve?TIC?in the two groups.Results:Invasive ductal carcinoma was accounted for the majority of 74 cases of NMBC with most of the tumor-node-metastasis?TNM?stages being stage ?.There was a significant difference in internal strengthening features between the two groups which including NMBC with majority of cluster ring strengthening and GM with mainly uniform strengthening.?P<0.05?.Most of the TIC curves of NMBC were type ?,and GM of type ?,with statistically significant differences?P<0.05?.ADC values in the two groups were?1.09±0.44?×10-3mm2/s and?1.36±0.42?×10-3mm2/s,respectively,the differences of statistically significant?P<0.05?.Conclusions:MRI dynamic enhancement combined with diffusion weighted imaging as the unique advantages in the diagnosis of NMBC,usually including segmental distribution,type ? TIC curve and low ADC value,can provide reliable imaging reference for clinical diagnosis and differential diagnosis.
Keywords/Search Tags:non-mass breast cancer, granulomatous mastitis, magnetic resonance imaging, apparent diffusion coefficient, time-intensity curve
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