2019
DOI: 10.2147/cmar.s194868
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<p>A multicenter study of a contrast-enhanced ultrasound diagnostic classification of breast lesions</p>

Abstract: PurposeTo evaluate a classification model of contrast-enhanced ultrasound (CEUS) and examine the characteristics of patients with false-negative diagnosis.Patients and methodsA retrospective secondary analysis of a multicenter trial of CEUS for breast cancer diagnosis (from August 2015 to April 2017) was undertaken. Patients (n=1,023) with Breast Imaging Reporting and Data System 4–5 lesions on B-mode ultrasound underwent CEUS. Pathological diagnoses were available from surgical or biopsy specimens for correla… Show more

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Cited by 11 publications
(5 citation statements)
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“…in distinguishing lesions BI-RADS category 3 and 4 [6]. Thus, CEUS may reduce the number of core-needle biopsies of benign lesions in the future [7], especially in older patients with higher body mass index larger maximal lesion diameter and distance to pappila [8]. Compared to magnetic resonance, CEUS is a relatively easily accessible, fast and cost-effective method well-suited to become a part of the diagnostic algorithm of breast examination before biopsy.…”
Section: Discussionmentioning
confidence: 99%
“…in distinguishing lesions BI-RADS category 3 and 4 [6]. Thus, CEUS may reduce the number of core-needle biopsies of benign lesions in the future [7], especially in older patients with higher body mass index larger maximal lesion diameter and distance to pappila [8]. Compared to magnetic resonance, CEUS is a relatively easily accessible, fast and cost-effective method well-suited to become a part of the diagnostic algorithm of breast examination before biopsy.…”
Section: Discussionmentioning
confidence: 99%
“…Two different physicians from each center (each with >15 years of experience with breast US and 2 years of experience with CEUS) evaluated all CEUS images without performing the exam and without knowledge of patients' clinical data, according to the developing CEUS prediction model, as we previously described (15,16). Disagreements were resolved by a third-party appraisal.…”
Section: Image Analysismentioning
confidence: 99%
“…Based on qualitative analyses of 10 enhancement characteristics, our team generated a CEUS prediction model and evaluated its diagnostic performance. Our initial multicenter study data had shown the prediction model exhibited excellent sensitivity and negative predictive value (89.4% & 88.9%), which was better than the performance of mammography (75% sensitivity) (14,15). At the same time, we also wanted to explore how patient and lesion characteristics (including patient age, BMI, location and size of breast lesions) may affect the enhancement pattern and the accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…Blood perfusion in breast lesions can be observed by CEUS (14). Blood perfusion in the lesion tends to affect its growth, development, infiltration, and metastasis (15,16). CEUS can display microbubbles in the time dimension, reflecting the blood supply in the scanning area and more accurately representing the size of the lesion (17).…”
Section: Introductionmentioning
confidence: 99%