Predictive Role of Blood Flow Characteristics in the Detection of Malignant Breast Lesions: a Prospective Study
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Original Article
P: 335-343
2021

Predictive Role of Blood Flow Characteristics in the Detection of Malignant Breast Lesions: a Prospective Study

Acta Haematol Oncol Turc 2021;54(3):335-343
1. Adıyaman Training And Research Hospital, Department Of Radiology, Adıyaman, Turkey
2. Adıyaman University Medicine Faculty, Department Of General Surgery
3. Adıyaman University, Medicine Faculty, Department Of Radiology
4.
No information available.
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Received Date: 2021-06-13T14:43:40
Accepted Date: 2021-12-01T07:09:24
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Abstract

INTRODUCTION

The aim of this study is to investigate the predictive feature of lateral thoracic artery (LTA) and internal thoracic artery (ITA) power doppler ultrasound examination results of patients with malignant breast lesions.

METHODS

This is a prospective case-control study in which 47 patients with suspicious lesions detected by ultrasonography and mammography and diagnosed with pathologically invasive breast carcinoma between 2018-2020 were included in a tertiary hospital. The breast with invasive carcinoma and the intact breast of the same patient were evaluated with LTA and ITA by power doppler ultrasonography. Healthy breast was the control group.

RESULTS

In the diagnostic statistical tests; the optimum cut-off value for LTA Peak systolic flow (PSF) value is 19.6 cm / s, sensitivity of this value is 81.3% and specificity is 95.8%. The optimal cut-off value for LTA resistive index (RI) value was 0.805, sensitivity of this value was 91.7% and specificity was 95.8%. For the detection of invasive breast carcinoma in the contralateral breast, the sensitivity of peak diastolic flow (PDF) below 8.35 is 77.1% and the specificity is 79.2%.

DISCUSSION AND CONCLUSION

To the best of our knowledge, this study is the first publication to examine the flow patterns of internal ITA and LTA together. This study presents new quantitative diagnostic tests that can be used to detect breast cancer, are easily accessible, applicable, and have high sensitivity and specificity.