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Ultrasound micropure imaging in differential diagnosis of breast lesions / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1336-1340, 2019.
Article in Chinese | WPRIM | ID: wpr-861237
ABSTRACT

Objective:

To explore the value of ultrasound micropure imaging (MI) in differential diagnosis of benign and malignant breast lesions.

Methods:

Totally 134 patients with breast lesions who underwent MI and mamography (MMG) were recruited. The distribution and morphology of microcalcifications in breast lesions were observed. Final diagnoses were obtained through pathological examination. ROC curve was used to evaluate the diagnostic efficacy of MI and MMG for malignant breast lesions.

Results:

Among 134 patients, there were 85 cases of benign and 49 cases of malignant breast lesions. MI correctly diagnosed 82 benign lesions and 44 malignant lesions, while MMG correctly diagnosed 69 benign lesions and 34 malignant lesions. Clustered and linearly distribution of microcalcifications were prone to malignant lesions. ROC curve showed that taken 5 calcification points per square centimeter displayed by MMG as cut-off point, the AUC of malignant lesions was 0.64 (P=0.01),with sensitivity 69.39% (34/49), specificity 81.18% (69/85) and accuracy 76.87% (103/134). Taken 3 bright echogenic foci per square centimeter as cut-off points indicated by MI, the AUC for diagnosing breast malignant lesions was 0.76 (P<0.01), the sensitivity, specificity and accuracy was 89.80% (44/49), 96.47% (82/85) and 94.03% (126/134), respectively.

Conclusion:

The number and distribution of microcalcifications indicated by MI are helpful to differential diagnosis of benign and malignant breast lesions. The diagnostic efficiency of MI is higher than that of MMG.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article