1. Power Doppler sonography: Anything to add to BI-RADS US in solid breast masses?
- Author
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Gokhan Gokalp, Ugur Topal, Esref Kizilkaya, Uludağ Üniversitesi/Tıp Fakültesi/Radyoloji Anabilim Dalı., Gökalp, Gökhan, Topal, Uğur, and AAI-2336-2021
- Subjects
Sonographic findings ,Male ,Vascularity ,Ultrasonography, mammary ,Lymphoid hyperplasia ,Contrast Agent BR1 ,Breasts ,Ultrasonography ,Mastitis ,Diagnostic accuracy ,Negative predictive values ,Breast cancer ,Breast fibroadenoma ,Lung carcinoma ,Spectral analysis ,Breast imaging ,Power doppler ,Quantitative analysis ,Spectroscopy ,Cancer ,Aged, 80 and over ,Power doppler ultrasonographies ,Cancer resistance ,Ultrasonic imaging ,Fat necrosis ,General Medicine ,Predictive value ,Image enhancement ,Medical imaging ,Power doppler sonographies ,Human ,medicine.medical_specialty ,Ultrasonography, doppler ,Prediction and forecasting ,Clinical article ,Color ,BI-RADS ,Malignant lesions ,Article ,Tumor vascularization ,Mucinous carcinoma ,Humans ,Tumors ,Aged ,Experience ,Hypervascularity ,medicine.disease ,Image interpretation, computer-assisted ,United States ,Index ,Lesions ,Doppler echography ,Breast neoplasms ,Positive predictive values ,Reproducibility of results ,Risk analysis ,Papillary carcinoma ,Cancer risk ,Diagnosis ,Breast ,Middle aged ,Fibrocystic breast disease ,Intraductal carcinoma ,Priority journal ,Statistically significant differences ,Data systems ,Neurofibroma ,Chronic inflammation ,Statistical significance ,Sensitivity and specificity ,Benign ,Breast fibrosis ,Female ,Radiology ,Solid breast mass ,Algorithms ,Adult ,Spectrum analyzers ,Breast tumor ,Histopathology ,Resistivity indices ,Malignancy ,Ultrasound ,medicine ,Breast papilloma ,Radiology, Nuclear Medicine and imaging ,Human tissue ,Benign lesions ,Apocrine carcinoma ,business.industry ,Vascularization ,Spectrum analysis ,Medical society ,Clinical feature ,Radiology, nuclear medicine ,business ,Nuclear medicine ,Controlled study - Abstract
Objective: To evaluate the contribution of power Doppler ultrasonography (PDUS) to breast imaging reporting and data system ultrasonography (BI-RADS US) categorization of solid breast masses. Materials and methods: Totally 94 solid lesions with histopathological results in 49 patients were included in the study. US features of the lesions were classified according to American College of Radiologists (ACR) BI-RADS US lexicon. Lesions were evaluated qualitatively according to their PDUS properties and quantitatively with spectral analysis. Hypervascularity, penetration of vessels into the mass or branching-disordered course and resistivity index values higher than 0.85 were accepted as probable malignant criteria. Results: Fifty-five of 94 lesions were benign (58.5%), while 39 (41.5%) were malignant histopathologically. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of US and PDUS in the diagnosis of malignant lesions were 100%, 58.2%, 62.9%, 100% and 71.8%, 81.8%, 73.7%, 80.4%, respectively. Criteria used for the distinction of malignant and benign lesions like number of vessels (p < 0.05), distribution of tumoral vessels, morphology of vessels and resistivity index values higher than 0.85 showed statistically significant difference (p < 0.001). When sonographic findings were combined with PDUS and spectral analysis findings, sensitivity, specificity, PPV and NPV were 100%, 52.7%, 60% and 100%, respectively. Conclusion: PDUS and spectral analysis have no contribution to BI-RADS US. For the spectral analysis, when RI value is one or greater, malignancy risk significantly increases.
- Published
- 2009
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