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Effectiveness of Superb Microvascular Imaging for the differentiation of intraductal breast lesions

Medical Ultrasonography · Ocak 2018

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YÖKSİS Kayıtları
Effectiveness of Superb Microvascular Imaging for the differentiation of intraductal breast lesions.
Medical Ultrasonography · 2018 INDEX COPERNICUS
PROFESÖR MEHMET SEDAT DURMAZ →
Effectiveness of Superb Microvascular Imaging for the differentiation of intraductal breast lesions
Medical Ultrasonography · 2018 SCI-Expanded
PROFESÖR MEHMET SEDAT DURMAZ →

Makale Bilgileri

DergiMedical Ultrasonography
Yayın TarihiOcak 2018
Cilt / Sayfa20 · 306-312
DOI10.11152/mu-1433
Scopus ID2-s2.0-85052822408
Erişim🔓 Açık Erişim
Özet Aims: The aim of this study was to compare the diagnostic performance of superb microvascular imaging (SMI) and power Doppler imaging (PDI) for the differentiation of intraductal breast lesions. Materials and methods: A total of 54 intraductal breast lesions (39 benign, 10 atypical, and 5 malignant) in 53 patients were examined using B-mode ultrasonography, PDI, and SMI. Vascularity grading, distribution of microvessels, and penetrating vessels were evaluated using each Doppler technique. The diagnostic performances of both methods were compared. Results: SMI was more efficient in detecting flow signals than PDI (p=0.004). The highest diagnostic accuracy rates were achieved with SMI using vascular grading. When hypervascularity was used as a cut-off value to differentiate malignant and atypical lesions from benign lesions, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 66.6%, 80.7%, 66.6%, 80.7%, and 75.6% for PDI, and 86.6%, 76.9%, 68.4%, 90.9%, and 80.4% for SMI, respectively. Conclusions: SMI is more sensitive than PDI for detecting subtle blood flow in intraductal breast lesions with statistical significance. This novel and promising vascular imaging technique may be helpful in B-mode ultrasonography to distinguish intraductal breast lesions.

Yazarlar (7)

1
Suleyman Bakdik
2
Serdar Arslan
ORCID: 0000-0001-7984-4326
3
Fatih Öncü
4
Mehmet Sedat Durmaz
ORCID: 0000-0002-1340-2477
5
Ayşegül Altunkeser
6
Mehmet Ali Eryilmaz
7
Y. Ünlü

Anahtar Kelimeler

Breast cancer Power Doppler imaging Superb microvascular imaging Ultrasonography

Kurumlar

Necmettin Erbakan Üniversitesi
Meram Turkey
University of Health Sciences
Istanbul Turkey

Metrikler

22
Atıf
7
Yazar
4
Anahtar Kelime

Sistemimizdeki Yazarlar

MD
MEHMET SEDAT DURMAZ
PROFESÖR

Hızlı Erişim

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