Determining the acuteness and stability of deep venous thrombosis by ultrasonic tissue characterization

Abstract

UTC distinguished clinically defined acute from chronic DVT. In a small series of extremities, UTC revealed significant instability of acute thrombi in a selected patient population.

Analysis of Two Quantitative Ultrasound Approaches

“…Our theoretical expressions for LF slope and intercept (Equations (17) and (18)) were in agreement with Lizzi et al's 54 observations. Indeed, Lizzi et al 54 showed that ESD was the predominant factor for the estimation of LF slope and intercept; that EAC influenced LF intercept, but not LF slope; and that a large variation of EAC was necessary to change LF intercept.…”

“…Both of these QUS methods have been applied successfully. The most common application is tissue characterization [12][13][14][15][16][17][18][19][20] to detect cancer, [21][22][23][24][25][26][27][28][29] to differentiate among cell lines, [30][31][32][33] or to characterize red blood cell aggregation. 34,35 QUS techniques are also used to detect fatty liver disease in animals 36,37 and human patients.…”

Shear Wave Elastography and Quantitative Ultrasound as Biomarkers to Characterize Deep Vein Thrombosis In Vivo

“…A disorganized medium would have, on the contrary, close to uniformly positioned scatterers. A less organized medium, as suggested by parameters k and 1/( κ + 1), could indicate a risk of clot embolization into downstream pulmonary vessels, as was hypothesized in 39 …”

“…A less organized medium, as suggested by parameters k and 1/(κ + 1), could indicate a risk of clot embolization into downstream pulmonary vessels, as was hypothesized in. 39 The increase in the median of μ n within distal measurement of clots between day 0 and day 30 corresponds to an increase in the normalized intensity of the echo envelope. These results indicate that despite the effect of oral anticoagulant, a clot is not getting dissolved yet and probably still contains fibrin strands or red blood cells, which are known to be echogenic.…”

Computer Aided Diagnosis of Parotid Gland Lesions Using Ultrasonic Multi-Feature Tissue Characterization

“…Applications for ultrasonic tissue characterization have been manifold in the past, including prostate cancer (Lizzi et al 1997b;Feleppa et al 2001;Scheipers et al 2003a;Schmitz et al 1999), atherosclerotic plaques (Bridal et al 1997;Noritomi et al 1997), testicular tissue (Jenderka et al 1999), ophtalmology (Lizzi and Laviola 1975;Lizzi et al 1987), liver and hepatic diseases (Lang et al 1994;Lizzi et al 1997b;Oosterveld et al 1991), myocardial tissue (O'Donnell et al 1981), staging of venous thrombosis (Kolecki et al 1995;Parsons et al 1993;Siebers et al 2004), monitoring of thermal therapies (Lemor et al 2000;Siebers et al 2006Siebers et al , 2007b, characterization of apoptosis (Kolios et al 2002), mammary tumors (Chang et al 2003;Chen et al 2002), classification of salivary gland tumors (Chikui et al 2005;Scheipers et al 2005b;Siebers et al 2007a) and thyroid alterations (Smutek et al 2003;Tsantis et al 2005).…”