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Leng X, Huang G, Yao L, et al. Role of multi-mode ultrasound in the diagnosis of level 4 BI-RADS breast lesions and Logistic regression model. Int J Clin Exp Med. 2015;8(9):15889-99
Leng, X., Huang, G., Yao, L., & Ma, F. (2015). Role of multi-mode ultrasound in the diagnosis of level 4 BI-RADS breast lesions and Logistic regression model. International journal of clinical and experimental medicine, 8(9), 15889-99.
Leng, Xiaoling, et al. "Role of multi-mode ultrasound in the diagnosis of level 4 BI-RADS breast lesions and Logistic regression model." International journal of clinical and experimental medicine vol. 8,9 (2015): 15889-99.
Leng X, Huang G, Yao L, Ma F. Role of multi-mode ultrasound in the diagnosis of level 4 BI-RADS breast lesions and Logistic regression model. Int J Clin Exp Med. 2015 Sep 15;8(9):15889-99. eCollection 2015. PMID: 26629092; PMCID: PMC4658981.
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Int J Clin Exp Med. 2015 Sep 15;8(9):15889-99. eCollection 2015.

Role of multi-mode ultrasound in the diagnosis of level 4 BI-RADS breast lesions and Logistic regression model.

International journal of clinical and experimental medicine

Xiaoling Leng, Guofu Huang, Lanhui Yao, Fucheng Ma

Affiliations

  1. Department of Ultrasonography, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China ; Department of Ultrasonography, The Affiliated Tumor Hospital of Xinjiang Medical University Urumqi 830011, Xinjiang, China.
  2. Department of Radio-Chemotherapy, The Fifth Affiliated Hospital of Xinjiang Medical University Urumqi 830011, Xinjiang, China.
  3. Department of Ultrasonography, The First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, Xinjiang, China.
  4. Department of Ultrasonography, The Affiliated Tumor Hospital of Xinjiang Medical University Urumqi 830011, Xinjiang, China.

PMID: 26629092 PMCID: PMC4658981

Abstract

OBJECTIVE: This study is to investigate the diagnostic role of multi-mode ultrasound in level 4 BI-RADS breast lesions and to establish a Logistic regression model.

METHODS: Totally 179 patients with 182 sites of breast lesions were enrolled in this study. Preoperatively, the examinations of routine ultrasonography, elastography, contrast-enhanced ultrasonography and three-dimensional color Doppler were performed. Postoperatively, the breast lesions were diagnosed as benign and malignant lesions according to pathological results. Diagnostic indicators of each ultrasound analysis were determined and compared. The relationship between these diagnostic indicators and the benign and malignant features of breast lesions was analyzed by single factor analysis. Logistic regression model was established.

RESULTS: The diagnostic indicators with high sensitivity and specificity were tumor edge, enhanced range and score of elastography. Four factors of tumor edge, enhanced order, contrast mode and score of elastography were related with the benign and malignant features of breast lesions. The prediction model was Logit (P) = 0.636 + 4.471X1 + 4.337X2 + 3.753X3 + 3.014X4 + 2.525X5 + 2.105X6. Likelihood ratio test showed that the model was statistically significant (χ(2) = 161.876, P < 0.0001). This model could effectively distinguish between benign and malignant tumors (R(2) = 0.813, prediction accuracy 92.3%). The differences in sensitivity and specificity between multi-mode ultrasound diagnosis and routine ultrasound diagnosis were statistically significant (P < 0.001). However, there was no significant difference between Logistic regression model and multi-mode ultrasound diagnosis.

CONCLUSION: Multi-mode ultrasound and Logistic regression model are more effective in diagnosing level 4 BI-RADS breast lesions.

Keywords: BI-RADS 4 level; Breast neoplasms; multi-mode ultrasound diagnosis

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