The utility of ultrasound superb microvascular imaging for evaluation of breast tumour vascularity: Comparison with colour and power Doppler imaging regarding diagnostic performance

A. Y. Park, Bo Kyoung Seo, Ok Hee Woo, K. S. Jung, Kyu Ran Cho, E. K. Park, Sang Hoon Cha, J. Cha

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Aim: To investigate the utility of superb microvascular imaging (SMI) for evaluating the vascularity of breast masses in comparison with colour or power Doppler ultrasound (US) and the effect on diagnostic performance. Materials and methods: A total of 191 biopsy-proven masses (99 benign and 92 malignant) in 166 women with greyscale, colour Doppler, power Doppler, and SMI images were enrolled in this retrospective study. Three radiologists analysed the vascular images using a three-factor scoring system to evaluate the number, morphology, and distribution of tumour vessels. They assessed the Breast Imaging-Reporting and Data System categories for greyscale US alone and combinations of greyscale US and each type of vascular US. The Kruskal-Wallis test was performed and the area under the receiver-operating characteristic curve (AUC) measured. On SMI, vascular scores were compared between benign and malignant masses and the optimal cut-off value for the overall score was determined. Results: SMI showed higher vascular scores than colour or power Doppler US and malignant masses had higher scores than benign masses (p<0.001). The diagnostic performance of the combination of greyscale US and SMI was higher than those of greyscale US alone and greyscale and colour or power Doppler US (AUC, 0.815 versus 0.774, 0.789, 0.791; p<0.001). The optimal cut-off value of the overall vascular score was 5 with a sensitivity of 82.3% and a specificity of 65.3% (AUC, 0.808). Conclusion: SMI is superior to colour or power Doppler US for characterising the vascularity in breast masses and improving diagnostic performance.

Original languageEnglish
JournalClinical Radiology
DOIs
Publication statusAccepted/In press - 2017 Jan 1

Fingerprint

Diagnostic Imaging
Doppler Ultrasonography
Blood Vessels
Color
Breast Neoplasms
Area Under Curve
Breast
Doppler Effect
Information Systems
ROC Curve
Retrospective Studies
Biopsy
Neoplasms

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

@article{e42a4a29a1734dc2817bc5773498c683,
title = "The utility of ultrasound superb microvascular imaging for evaluation of breast tumour vascularity: Comparison with colour and power Doppler imaging regarding diagnostic performance",
abstract = "Aim: To investigate the utility of superb microvascular imaging (SMI) for evaluating the vascularity of breast masses in comparison with colour or power Doppler ultrasound (US) and the effect on diagnostic performance. Materials and methods: A total of 191 biopsy-proven masses (99 benign and 92 malignant) in 166 women with greyscale, colour Doppler, power Doppler, and SMI images were enrolled in this retrospective study. Three radiologists analysed the vascular images using a three-factor scoring system to evaluate the number, morphology, and distribution of tumour vessels. They assessed the Breast Imaging-Reporting and Data System categories for greyscale US alone and combinations of greyscale US and each type of vascular US. The Kruskal-Wallis test was performed and the area under the receiver-operating characteristic curve (AUC) measured. On SMI, vascular scores were compared between benign and malignant masses and the optimal cut-off value for the overall score was determined. Results: SMI showed higher vascular scores than colour or power Doppler US and malignant masses had higher scores than benign masses (p<0.001). The diagnostic performance of the combination of greyscale US and SMI was higher than those of greyscale US alone and greyscale and colour or power Doppler US (AUC, 0.815 versus 0.774, 0.789, 0.791; p<0.001). The optimal cut-off value of the overall vascular score was 5 with a sensitivity of 82.3{\%} and a specificity of 65.3{\%} (AUC, 0.808). Conclusion: SMI is superior to colour or power Doppler US for characterising the vascularity in breast masses and improving diagnostic performance.",
author = "Park, {A. Y.} and Seo, {Bo Kyoung} and Woo, {Ok Hee} and Jung, {K. S.} and Cho, {Kyu Ran} and Park, {E. K.} and Cha, {Sang Hoon} and J. Cha",
year = "2017",
month = "1",
day = "1",
doi = "10.1016/j.crad.2017.10.006",
language = "English",
journal = "Clinical Radiology",
issn = "0009-9260",
publisher = "W.B. Saunders Ltd",

}

TY - JOUR

T1 - The utility of ultrasound superb microvascular imaging for evaluation of breast tumour vascularity

T2 - Comparison with colour and power Doppler imaging regarding diagnostic performance

AU - Park, A. Y.

AU - Seo, Bo Kyoung

AU - Woo, Ok Hee

AU - Jung, K. S.

AU - Cho, Kyu Ran

AU - Park, E. K.

AU - Cha, Sang Hoon

AU - Cha, J.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Aim: To investigate the utility of superb microvascular imaging (SMI) for evaluating the vascularity of breast masses in comparison with colour or power Doppler ultrasound (US) and the effect on diagnostic performance. Materials and methods: A total of 191 biopsy-proven masses (99 benign and 92 malignant) in 166 women with greyscale, colour Doppler, power Doppler, and SMI images were enrolled in this retrospective study. Three radiologists analysed the vascular images using a three-factor scoring system to evaluate the number, morphology, and distribution of tumour vessels. They assessed the Breast Imaging-Reporting and Data System categories for greyscale US alone and combinations of greyscale US and each type of vascular US. The Kruskal-Wallis test was performed and the area under the receiver-operating characteristic curve (AUC) measured. On SMI, vascular scores were compared between benign and malignant masses and the optimal cut-off value for the overall score was determined. Results: SMI showed higher vascular scores than colour or power Doppler US and malignant masses had higher scores than benign masses (p<0.001). The diagnostic performance of the combination of greyscale US and SMI was higher than those of greyscale US alone and greyscale and colour or power Doppler US (AUC, 0.815 versus 0.774, 0.789, 0.791; p<0.001). The optimal cut-off value of the overall vascular score was 5 with a sensitivity of 82.3% and a specificity of 65.3% (AUC, 0.808). Conclusion: SMI is superior to colour or power Doppler US for characterising the vascularity in breast masses and improving diagnostic performance.

AB - Aim: To investigate the utility of superb microvascular imaging (SMI) for evaluating the vascularity of breast masses in comparison with colour or power Doppler ultrasound (US) and the effect on diagnostic performance. Materials and methods: A total of 191 biopsy-proven masses (99 benign and 92 malignant) in 166 women with greyscale, colour Doppler, power Doppler, and SMI images were enrolled in this retrospective study. Three radiologists analysed the vascular images using a three-factor scoring system to evaluate the number, morphology, and distribution of tumour vessels. They assessed the Breast Imaging-Reporting and Data System categories for greyscale US alone and combinations of greyscale US and each type of vascular US. The Kruskal-Wallis test was performed and the area under the receiver-operating characteristic curve (AUC) measured. On SMI, vascular scores were compared between benign and malignant masses and the optimal cut-off value for the overall score was determined. Results: SMI showed higher vascular scores than colour or power Doppler US and malignant masses had higher scores than benign masses (p<0.001). The diagnostic performance of the combination of greyscale US and SMI was higher than those of greyscale US alone and greyscale and colour or power Doppler US (AUC, 0.815 versus 0.774, 0.789, 0.791; p<0.001). The optimal cut-off value of the overall vascular score was 5 with a sensitivity of 82.3% and a specificity of 65.3% (AUC, 0.808). Conclusion: SMI is superior to colour or power Doppler US for characterising the vascularity in breast masses and improving diagnostic performance.

UR - http://www.scopus.com/inward/record.url?scp=85033234048&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85033234048&partnerID=8YFLogxK

U2 - 10.1016/j.crad.2017.10.006

DO - 10.1016/j.crad.2017.10.006

M3 - Article

C2 - 29122223

AN - SCOPUS:85033234048

JO - Clinical Radiology

JF - Clinical Radiology

SN - 0009-9260

ER -