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The significance of automated breast volume scanner of breast carcinoma and the research of its imaging manifestations / 中国医学装备
China Medical Equipment ; (12): 84-87, 2017.
Article in Chinese | WPRIM | ID: wpr-620720
ABSTRACT

Objective:

To investigate the diagnostic value of automatic breast volume system (ABVS) for breast carcinoma in clinical practice so as to use these reliable data to provide imaging reference for further therapy.

Methods:

300 patients with suspected breast cancer were selected and the postoperative pathological examinations were chosen as the golden standard to implement screening. At the same time, 2 radiologists were selected to carry out the grading diagnoses of breast imaging reporting and data system (BI-RADS) so as to observe the consistency between diagnoses of ABVS and pathological results.

Results:

210 patients were diagnosed as breast tumor by the post-operative pathological examination, and these patients included 89 malignant tumor (29.67%, 89/300). In these malignant cases, there were 42 cases were infiltrative ductal carcinoma, and its rate was 47.19% (42/89). Besides, there were 121 cases were benign tumor (40.33%), and the rate of patients with fibrosum adenoma (78 cases) was the highest in the 121 cases (64.46%, 78/121). And the diagnostic consistency of them was preferably (K=0.724). The sensitivity and specificity of ABVS in diagnosing breast carcinoma were 92.86% and 85.56%, respectively. Its positive predictive value and negative predictive value were 93.75% and 83.70%, respectively. And the Youden index was 0.78.

Conclusion:

ABVS has relatively high sensitivity and specificity, and the screening test has good authenticity and reproducibility. Therefore, it can provide a reliable basis for clinical diagnosis and treatment.

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

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