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The value of IVIM-DWI and DTI in the diagnosis of invasive breast carcinoma of no special type / 实用放射学杂志
Journal of Practical Radiology ; (12): 1874-1877, 2018.
Article in Chinese | WPRIM | ID: wpr-733381
ABSTRACT
Objective To evaluate the value of IVIM-DWI and DTI parameters in quantitative analysis and differential diagnosis of invasive breast carcinoma of no special type(NST).Methods We retrospectively analyzed 60 patients (63 lesions)who underwent MR examination in our hospital and all lesions were verified by pathologic results.MR protocol included DCE-MRI,IVIM-DWI using 14b values and DTI.The ADC,ADCslow,ADCfast,f,λ1of lesions were measured and compared by two independent samples t test between the benign lesions and NST.Logistic regression analysis was made using ADC,ADCslow,f,λ1as predictors in detecting and differentiating the NST,ROC analysis was performed to compare diagnostic performance based on the area under the curve(AUC).Results The ADC,ADCslow,ADCfast,f andλ1of NST were (1.49±0.63)×10-3mm2/s,(1.32±0.49)×10-3mm2/s,(25.98±21.84)×10-3mm2/s,0.20±0.13 and (4.98±0.47)×10-3mm2/s,these values of benign lesions were (2.31±0.66)×10-3mm2/s,(2.24±0.65)×10-3mm2/s,(18.71± 12.26)×10-3mm2/s,0.33±0.15 and(5.59±0.59)×10-3mm2/s.All parameters except ADCfast(P=0.271)had significantly statistical differences (P<0.000 1)between NST and benign lesions.The regression model showed that ADCslowwas an independent predictor in NST’s detection.Conclusion The ADC,ADCslow,f andλ1is helpful for differentiation between NST and benign lesions.The regression model is most valuable in NST detection and ADCslowis the preferred index.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Practice guideline / Prognostic study Language: Chinese Journal: Journal of Practical Radiology Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Practice guideline / Prognostic study Language: Chinese Journal: Journal of Practical Radiology Year: 2018 Type: Article