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1.
J Ultrasound Med ; 37(9): 2263-2275, 2018 Sep.
Article in English | MEDLINE | ID: mdl-29574932

ABSTRACT

OBJECTIVES: To evaluate the carotid bifurcation in healthy adults using a commercial system equipped with high-frame rate vector flow imaging (VFI) based on the plane wave and to compare VFI with color Doppler imaging. METHODS: Carotid bifurcation diameters and flow characteristics of 60 vessels in 60 healthy volunteers were evaluated quantitatively and qualitatively to assess complex flow patterns and their extension and duration. RESULTS: Complex flow in the internal carotid artery (ICA) was associated with a statistically significant difference in the ΔICA sinus-to-common carotid artery (CCA) diameter ratio (the relative change in diameter between the CCA and ICA sinus.) Vector flow imaging and color Doppler imaging were in accordance when detecting complex flow in 96.7% of cases; in 3.3% of cases, only VFI identified small recirculation areas of short duration. Vector flow imaging highlighted a larger extension of the complex flow (mean ± SD, 47.7 ± 28.5 mm2 ; median, 45.5 mm2 ) compared with color Doppler imaging (mean, 29.2 ± 19.9 mm2 ; median, 29.5 mm2 ) and better depicted different complex flow patterns; a strong correlation (r = 0.84) was found between the ΔICA sinus-to-CCA diameter ratio and the complex flow extension. Vector flow imaging showed a longer duration of the flow disturbances (mean, 380 ± 218 milliseconds; median, 352.5 milliseconds) compared with color Doppler imaging (mean, 325 ± 206 milliseconds; median, 333 milliseconds), and there was a strong correlation (r = 0.92). CONCLUSIONS: Vector flow imaging is as effective as color Doppler imaging in the detection of flow disturbances, but it is more powerful in the assessment of complex flow patterns.


Subject(s)
Carotid Artery, Common/physiology , Carotid Artery, Internal/physiology , Image Interpretation, Computer-Assisted/methods , Ultrasonography/methods , Adult , Aged , Blood Flow Velocity , Carotid Artery, Common/diagnostic imaging , Carotid Artery, Internal/diagnostic imaging , Female , Humans , Male , Middle Aged , Reference Values , Ultrasonography, Doppler, Color/methods , Young Adult
2.
Eur Radiol ; 22(4): 721-30, 2012 Apr.
Article in English | MEDLINE | ID: mdl-22028111

ABSTRACT

OBJECTIVES: To assess the ability of Real-time Elastography (RTE) to differentiate malignant from benign testicular lesions. METHODS: In 88 testicles ultrasound identified 144 lesions, which were examined by RTE. Elasticity images of the lesions were assigned the colour-coded score of Itoh (Radiology 2006), according to the distribution of strain induced by light compression. RTE findings were analysed considering shape (nodular/pseudo-nodular), size (<5 mm, 6-10 mm, >11 mm) and score (SC1-5) of the lesions. RESULTS: 93.7% of all benign lesions showed a complete elastic pattern (SC1). 92.9% of benign nodules <5 mm and 100% of the pseudonodules showed a nearly complete elastic pattern (mainly SC1). 87.5% of malignant nodules showed a stiff pattern (SC4-5). RTE gave 87.5% sensitivity, 98.2% specificity, 93.3% positive predictive value, 96.4% negative predictive value and 95.8% accuracy in differentiating malignant from benign lesions. CONCLUSIONS: RTE is a useful technique in assessing small testicular nodules and pseudo-nodules. This is relevant in clinical practice allowing expectant management in RTE selected cases. The role of RTE seems less relevant for larger lesions because most of them are malignant at clinical and ultrasound assessment, limiting RTE to simply confirmation role. KEY POINTS: An emerging role for Elastography in allowing surveillance for small testicular lesions. Elastography can better differentiate benign from malignant testicular lesions. Follow up can be reduced for elastic testicular lesions at Elastography.


Subject(s)
Elasticity Imaging Techniques/methods , Testicular Neoplasms/diagnostic imaging , Adult , Aged , Aged, 80 and over , Computer Systems , Humans , Male , Middle Aged , Observer Variation , Reproducibility of Results , Sensitivity and Specificity
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