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Dive into the research topics where Alexander C. Liu is active.

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Featured researches published by Alexander C. Liu.


Journal of the American College of Cardiology | 1998

New real-time interactive cardiac magnetic resonance imaging system complements echocardiography

Phillip C. Yang; Adam B. Kerr; Alexander C. Liu; David Liang; Chris Hardy; Craig H. Meyer; Albert Macovski; John M. Pauly; Bob S. Hu

OBJECTIVES We conducted an initial clinical trial of a newly developed cardiac magnetic resonance imaging (CMRI) system. We evaluated left ventricular (LV) function in 85 patients to compare the clinical utility of the CMRI system with echocardiography, the current noninvasive gold standard. BACKGROUND Conventional CMRI systems require cardiac-gating and respiratory compensation to synthesize a single image from data acquired over multiple cardiac cycles. In contrast, the new CMRI system allows continuous real-time dynamic acquisition and display of any scan plane at 16 images/s without the need for cardiac gating or breath-holding. METHODS A conventional 1.5T Signa MRI Scanner (GE, Milwaukee, Wisconsin) was modified by the addition of an interactive workstation and a bus adapter. The new CMRI system underwent clinical trial by testing its ability to evaluate global and regional LV function. The first group (A) consisted of 31 patients with acceptable echocardiography image quality. The second group (B) consisted of 31 patients with suboptimal echocardiography image quality. The third group (C) consisted of 29 patients with severe lung disease or congenital cardiac malformation who frequently have suboptimal echo study. Two independent observers scored wall motion and image quality using the standard 16-segment model and rank-order analysis. RESULTS CMRI evaluation was complete in less than 15 min. In group A, no significant difference was found between ECHO and CMRI studies (p = NS). In group B, adequate visualization of wall segments was obtained 38% of the time using ECHO and 97% of the time using CMRI (p < 0.0001). When grouped into coronary segments, adequate visualization of at least one segment occurred in 18 of 30 patients (60%) with ECHO and in all 30 patients (100%) with CMRI (p < 0.0001). In group C, adequate visualization of the wall segments was obtained in 58% (CI 0.53-0.62) of the time using echocardiography and 99.7% (CI 0.99-1.0) of the time using CMRI (p < 0.0001). CONCLUSIONS The new CMRI system provides clinically reliable evaluation of LV function and complements suboptimal echocardiography. In comparison with the conventional CMRI, the new CMRI system significantly reduces scan time, patient discomfort and associated cost.


Nature Medicine | 1995

Antifibrinolytic activity of apolipoprotein(a) in vivo: Human apolipoprotein(a) transgenic mice are resistant to tissue plasminogen activator-mediated thrombolysis

Theresa M. Palabrica; Alexander C. Liu; Mark Aronovitz; Bruce Furie; Richard M. Lawn; Barbara C. Furie

The extensive homology between apolipoprotein(a) and plasminogen has led to the hypothesis that the increased risk for atherosclerosis, cardiac disease and stroke associated with elevated levels of apolipoprotein(a) may reflect modulation of fibrinolysis. We have investigated the role of apolipoprotein(a) on clot lysis in transgenic mice expressing the human apolipoprotein(a) gene. These mice develop fatty streak lesions resembling early lesions of human atherosclerosis. Pulmonary emboli were generated in mice by injection, through the right jugular vein, of a human platelet-rich plasma clot radiolabelled with technetium-99m-labelled antifibrin antibodies. Tissue plasminogen activator was introduced continuously via the right jugular vein. Clot lysis, determined by ex vivo imaging, was depressed in mice carrying the apolipoprotein(a) transgene relative to their sex-matched normal littermates. These results directly demonstrate an in vivo effect of apolipoprotein(a) on fibrinolysis, an effect that may contribute to the pathology associated with elevated levels of this protein.


Psychiatry Research-neuroimaging | 1999

Automated Talairach atlas-based parcellation and measurement of cerebral lobes in children

Wendy R. Kates; Ilana S. Warsofsky; Anil Patwardhan; Michael T. Abrams; Alexander C. Liu; Sakkubai Naidu; Walter E. Kaufmann; Allan L. Reiss

This study applied a Talairach-based automated parcellation method, originally proposed for adults, to the measurement of lobar brain regions in pediatric study groups. Manual measures of lobar brain regions in a sample of 15 healthy boys, girls and adults were used initially to revise the original Talairach-based grid to increase its applicability to pediatric brains. The applicability of the revised Talairach grid was then tested on an independent sample of five girls with Rett syndrome. As Tables 3 and 4 in the text demonstrate, sensitivity, specificity and positive predictive values either remained unchanged or increased as a result of revising the sectors to fit the brains of children. High levels of sensitivity and specificity were achieved for all revised Talairach-based calculations in relation to the manual measures. Both positive predictive values and intraclass correlations between volumetric measures produced by the revised automated and manual methods varied with the relative size of the brain region. Values were relatively low for smaller structures such as the brainstem and subcortical region, and high for lobar regions. These results suggest that the automated Talairach atlas-based parcellation method can produce sensitive and specific volumetric measures of lobar brain regions in both normal children and children with brain disorders. Accordingly, the method holds much promise for facilitating quantitative pediatric neuroimaging research.


Trends in Cardiovascular Medicine | 1994

Lipoprotein(a) and atherogenesis.

Alexander C. Liu; Richard M. Lawn

Lipoprotein(a) is a major inherited risk factor for atherosclerosis. Many of its activities depend on its plasminlike component, apolipoprotein(a). In vitro studies suggest that apolipoprotein(a) could enhance lipid deposition through binding to sites in the vessel wall, interfere with fibrinolysis, and modulate smooth muscle cell activity. Human and animal studies will be necessary to establish the physiologic importance of these mechanisms.


Current Opinion in Lipidology | 1994

Vascular interactions of lipoprotein (a)

Alexander C. Liu; Richard M. Lawn

Lipoprotein (a) is a major inherited risk factor for vascular diseases, including coronary atherosclerosis, restenosis, and stroke. The pathologic mechanisms are uncertain, but are likely to involve the unique plasminogen-like component of this lipoprotein, apolipoprotein (a). Studies suggest that apolipoprotein (a) can enhance lipid deposition in vessel walls, interfere with fibrinolysis, modulate smooth muscle cell activity, and induce endothelial dysfunction. This review discusses the key concepts relating to these mechanisms, with emphasis on recent studies.


Nature Medicine | 1995

THE SERUM CONCENTRATION OF ACTIVE TRANSFORMING GROWTH-FACTOR-BETA IS SEVERELY DEPRESSED IN ADVANCED ATHEROSCLEROSIS

David J. Grainger; Paul R. Kemp; James C. Metcalfe; Alexander C. Liu; Richard M. Lawn; Norman R. Williams; Andrew A. Grace; Peter R. Schofield; Anoop Chauhan


Nature | 1994

Activation of transforming growth factor-β is inhibited in transgenic apolipoprotein(a) mice

David J. Grainger; Paul R. Kemp; Alexander C. Liu; Richard M. Lawn; James C. Metcalfe


Proceedings of the National Academy of Sciences of the United States of America | 1993

5' control regions of the apolipoprotein(a) gene and members of the related plasminogen gene family.

David Wade; J G Clarke; Gisela E. Lindahl; Alexander C. Liu; Bernice R. Zysow; Kelli Meer; Karen Schwartz; Richard M. Lawn


Journal of Lipid Research | 1994

Human apolipoprotein A-I prevents atherosclerosis associated with apolipoprotein[a] in transgenic mice.

Alexander C. Liu; Richard M. Lawn; Judy Verstuyft; Edward M. Rubin


Journal of Computer Assisted Tomography | 1998

Reliability and Validity of an Algorithm for Fuzzy Tissue Segmentation of Mri

Allan L. Reiss; Joseph G. Hennessey; Matthew Rubin; Leu S. Beach; Michael T. Abrams; Ilana S. Warsofsky; Alexander C. Liu; Jonathan M. Links

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Bob S. Hu

Palo Alto Medical Foundation

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