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An application analysis of ADC of MRI in surgical resection of high risk breast lesions / 中国医学装备
China Medical Equipment ; (12): 58-60, 2017.
Article in Chinese | WPRIM | ID: wpr-659543
ABSTRACT

Objective:

To study the effect of apparent diffusion coefficient(ADC) of MRI in surgical resection of high risk breast lesions.

Methods:

244 patients with high risk breast lesions(235 breast lesions) were enrolled this study, and the lesion region and the ADC of MRI in contralateral normal breast were analyzed and compared.

Results:

In the 224 patients, all of the 235 breast lesions received puncture or relevant surgery confirmation. In the 235 lesions, there were 158 lump lesions, and the ADC of malignant lesion was (1.04±0.2)×10-3mm2/s, the ADC of benign lesion was(1.47±0.32)×10-3mm2/s, and the difference of the two ADCs was significant(t=14.964, P<0.05). In non-lump lesions were 77, the ADC of malignant lesion was(1.18±0.33×10-3mm2/s, the ADC of benign lesion was(1.51±0.3)×10-3mm2/s, and the difference between them was significant(t=9.243,P<0.05). The cut-off of ADC was determined according to receiver operating characteristic(ROC) curve, and it was identified as malignance when ADC was less than 1.25×10-3mm2/s. Besides, the sensitivity and the specificity were 78.1% and 77.8%, respectively, and the area under the ROC curve was 0.817.

Conclusion:

The ADC value of patients with high-risk breast lesions who received surgical resection is lower than that of benign lesion, and the malignant and benign lesion can be identified according to cut-off value of ADC. And there is difference of ADC value between lump lesion and non-lump lesion. Besides, the cut-off value of ADC of lump lesion is smaller than that of non-lump lesion.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Prognostic study Language: Chinese Journal: China Medical Equipment Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Prognostic study Language: Chinese Journal: China Medical Equipment Year: 2017 Type: Article