Search

Your search keyword '"Hsu Li-Yueh"' showing total 351 results
Start Over Author "Hsu Li-Yueh"
351 results on '"Hsu Li-Yueh"'

3. Effects of anabolic steroid use on myocardial perfusion in body-builders: a quantitative cardiovascular magnetic resonance Study

Author

Ismail Tevfik F, Hsu Li-Yueh, Angell Peter J, Jabbour Andrew, Greve Anders M, Gonçalves Carla, Gulati Ankur, Hewins Benjamin, Smith Gillian, Wage Rick, Dahl Annette L, Roughton Michael, Whyte Gregory, George Keith, Pennell Dudley J, Arai Andrew E, and Prasad Sanjay K

Subjects
Diseases of the circulatory (Cardiovascular) system, RC666-701
Published
2013
Full Text
View/download PDF

11. Impaired coronary vasodilation with Regadenoson in patients with angiographically normal coronaries when compared to normal volunteers - Insights from Quantitative MRI Perfusion

Author

Henry Jennifer, Mancini Christine, Booker O Julian, Shanbhag Sujata M, Leung Steve, Wilson Joel, Chen Marcus Y, Kellman Peter, Hsu Li-Yueh, Bandettini W, Vasu Sujethra, Lowrey Tracy, and Arai Andrew E

Subjects
Diseases of the circulatory (Cardiovascular) system, RC666-701
Published
2011
Full Text
View/download PDF

23. The relationship between systemic inflammation and increased left ventricular mass is partly mediated by noncalcified coronary artery disease burden in psoriasis

Author

Zhou, Wunan, Teklu, Meron, Bui, Vy, Manyak, Grigory A., Kapoor, Promita, Dey, Amit K., Sorokin, Alexander V., Patel, Nidhi, Teague, Heather L., Playford, Martin P., Erb-Alvarez, Julie, Rodante, Justin A., Keel, Andrew, Shanbhag, Sujata M., Hsu, Li-Yueh, Bluemke, David A., Chen, Marcus Y., Carlsson, Marcus, and Mehta, Nehal N.

Published
2021
Full Text
View/download PDF

32. Cardiovascular magnetic resonance predictors of heart failure in hypertrophic cardiomyopathy: the role of myocardial replacement fibrosis and the microcirculation

Author

Raphael, Claire E., Mitchell, Frances, Kanaganayagam, Gajen Sunthar, Liew, Alphonsus C., Di Pietro, Elisa, Vieira, Miguel Silva, Kanapeckaite, Lina, Newsome, Simon, Gregson, John, Owen, Ruth, Hsu, Li-Yueh, Vassiliou, Vassilis, Cooper, Robert, MRCP, Aamir Ali, Ismail, Tevfik F., Wong, Brandon, Sun, Kristi, Gatehouse, Peter, Firmin, David, Cook, Stuart, Frenneaux, Michael, Arai, Andrew, O’Hanlon, Rory, Pennell, Dudley J., and Prasad, Sanjay K.

Published
2021
Full Text
View/download PDF

33. Microvascular Dysfunction in Dilated Cardiomyopathy: A Quantitative Stress Perfusion Cardiovascular Magnetic Resonance Study

Author

Gulati, Ankur, Ismail, Tevfik F., Ali, Aamir, Hsu, Li-Yueh, Gonçalves, Carla, Ismail, Nizar A., Krishnathasan, Kaushiga, Davendralingam, Natasha, Ferreira, Pedro, Halliday, Brian P., Jones, Daniel A., Wage, Ricardo, Newsome, Simon, Gatehouse, Peter, Firmin, David, Jabbour, Andrew, Assomull, Ravi G., Mathur, Anthony, Pennell, Dudley J., Arai, Andrew E., and Prasad, Sanjay K.

Published
2019
Full Text
View/download PDF

34. Clinical Trial Validation of Automated Segmentation and Scoring of Pulmonary Cysts in Thoracic CT Scans.

Author

Baral, Aneesha, Lee, Simone, Hussaini, Farah, Matthew, Brianna, Lebron, Alfredo, Wang, Muyang, Hsu, Li-Yueh, Moss, Joel, and Wen, Han

Subjects
PULMONARY function tests, LUNG volume, COMPUTED tomography, LUNG diseases, LUNGS
Abstract

In cystic lung diseases such as lymphangioleiomyomatosis (LAM), a CT-based cyst score that measures the percentage of the lung volume occupied by cysts is a common index of the cyst burden in the lungs. Although the current semi-automatic measurement of the cyst score is well established, it is susceptible to human operator variabilities. We recently developed a fully automatic method incorporating adaptive features in place of manual adjustments. In this clinical study, the automatic method is validated against the standard method in several aspects. These include the agreement between the cyst scores of the two methods, the agreement of each method with independent tests of pulmonary function, and the temporal consistency of the measurements in the consecutive visits of the same patients. We found that the automatic method agreed with the standard method as well as the agreement between two trained operators running the same standard method; both methods obtained the same level of correlation with laboratory pulmonary function tests; the automated method had better temporal consistency than the standard method (p < 0.0001). The study indicates that the automatic method could replace the standard method and provide better consistency in assessing the extent of cystic changes in the lungs of patients. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

35. The gut‐brain axis in individuals with alcohol use disorder: An exploratory study of associations among clinical symptoms, brain morphometry, and the gut microbiome.

Author

Maki, Katherine A., Wallen, Gwenyth R., Bastiaanssen, Thomaz F. S., Hsu, Li‐Yueh, Valencia, Michael E., Ramchandani, Vijay A., Schwandt, Melanie L., Diazgranados, Nancy, Cryan, John F., Momenan, Reza, and Barb, Jennifer J.

Subjects
BRAIN physiology, ALCOHOLISM treatment, GASTROINTESTINAL system physiology, FECAL analysis, BRAIN anatomy, COMPLICATIONS of alcoholism, SECONDARY analysis, GENOMICS, FOOD consumption, RESEARCH funding, GUT microbiome, INTERVIEWING, QUESTIONNAIRES, CLASSIFICATION of mental disorders, MAGNETIC resonance imaging, DESCRIPTIVE statistics, BIOINFORMATICS, RESEARCH, RESEARCH methodology, PSYCHOLOGY of alcoholism, COLLECTION & preservation of biological specimens, DATA analysis software, PSYCHOLOGICAL tests, DIET, NUTRITION, PHENOTYPES
Abstract

Background: Alcohol use disorder (AUD) is commonly associated with distressing psychological symptoms. Pathologic changes associated with AUD have been described in both the gut microbiome and brain, but the mechanisms underlying gut‐brain signaling in individuals with AUD are unknown. This study examined associations among the gut microbiome, brain morphometry, and clinical symptoms in treatment‐seeking individuals with AUD. Methods: We performed a secondary analysis of data collected during inpatient treatment for AUD in subjects who provided gut microbiome samples and had structural brain magnetic resonance imaging (MRI; n = 16). Shotgun metagenomics sequencing was performed, and the morphometry of brain regions of interest was calculated. Clinical symptom severity was quantified using validated instruments. Gut‐brain modules (GBMs) used to infer neuroactive signaling potential from the gut microbiome were generated in addition to microbiome features (e.g., alpha diversity and bacterial taxa abundance). Bivariate correlations were performed between MRI and clinical features, microbiome and clinical features, and MRI and microbiome features. Results: Amygdala volume was significantly associated with alpha diversity and the abundance of several bacteria including taxa classified to Blautia,Ruminococcus, Bacteroides, and Phocaeicola. There were moderate associations between amygdala volume and GBMs, including butyrate synthesis I, glutamate synthesis I, and GABA synthesis I & II, but these relationships were not significant after false discovery rate (FDR) correction. Other bacterial taxa with shared associations to MRI features and clinical symptoms included Escherichia coli and Prevotella copri. Conclusions: We identified gut microbiome features associated with MRI morphometry and AUD‐associated symptom severity. Given the small sample size and bivariate associations performed, these results require confirmation in larger samples and controls to provide meaningful clinical inferences. Nevertheless, these results will inform targeted future research on the role of the gut microbiome in gut‐brain communication and how signaling may be altered in patients with AUD. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

42. A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging

Author

Ogunleye, Olanrewaju A., primary, Raviprakash, Harish, additional, Simmons, Ashlee M., additional, Bovell, Rhasaan T.M., additional, Martinez, Pedro E., additional, Yanovski, Jack A., additional, Berman, Karen F., additional, Schmidt, Peter J., additional, Jones, Elizabeth C., additional, Bagheri, Hadi, additional, Biassou, Nadia M., additional, and Hsu, Li-Yueh, additional

Published
2023
Full Text
View/download PDF

43. 25 Diagnostic Value of Myocardial Blood Flow Imaging in Patients with Ischaemia and Non-Obstructive Coronary Arteries

Author

Corcoran, David, primary, Bradley, Conor, additional, Ford, Thomas J, additional, Stanley, Bethany, additional, Hsu, Li-Yueh, additional, Orchard, Vanessa, additional, Campbell, Ross, additional, McEntegart, Margaret, additional, Rocchiccioli, Paul, additional, Watkins, Stuart, additional, Good, Richard, additional, Radjenovic, Aleksandra, additional, Brooksbank, Katriona, additional, McConnachie, Alex, additional, Oldroyd, Keith G, additional, Touyz, Rhian M, additional, Arai, Andrew E, additional, and Berry, Colin, additional

Published
2023
Full Text
View/download PDF

47. DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation

Author

Bui, Vy, primary, Hsu, Li-Yueh, additional, Chang, Lin-Ching, additional, Sun, An-Yu, additional, Tran, Loc, additional, Shanbhag, Sujata M., additional, Zhou, Wunan, additional, Mehta, Nehal N., additional, and Chen, Marcus Y., additional

Published
2022
Full Text
View/download PDF

50. Splenic Size and Volume Measurements in Patients with Chronic Lymphocytic Leukemia.

Author

Ogunleye, Olanrewaju A., Hsu, Li-Yueh, Sun, Clare C., Nierman, Pia, Wiestner, Adrian, Jones, Elizabeth C., and Bagheri, Hadi

Abstract

To determine which methods of assessment of splenic size most accurately represent the actual spleen volume in patients with Chronic Lymphocytic Leukemia (CLL). The Abdominal Computed Tomography images of 48 patients with CLL enrolled on a phase 2 clinical trial at two time-points before and after 2-months of continuous acalabrutinib treatment were analyzed. Linear one-dimensional measurements of the spleen were taken in different planes. Two-dimensional and three-dimensional measurements were calculated from the linear measurements using mathematical formulae. The spleen volume was determined by manual segmentation as the ground truth. Data derived were analyzed using Pearson correlation and statistical significance was set at p < 0.05. Among the single-dimensional measurements, the strongest correlation with the segmented splenic volume was the sagittal long axis diameter (LAD) (r = 0.89, p < 0.05), followed closely by Coronal LAD (r = 0.87, p < 0.05) and cephalocaudal length (iwCLL) (r = 0.84, p < 0.05). For the two-dimensional indices, the sum of LAD and short axis diameter (SAD) of the spleen in axial plane showed good correlation with the splenic volume (r = 0.77, p < 0.05). Among the three-dimensional indices, the splenic index (0.523 x axial LAD x axial SAD x coronal height) and a formula for volume (30 + 0.58 x axial LAD x axial SAD x coronal height) had the strongest correlation (both r = 0.92, p < 0.05) with the spleen volume. The three-dimensional formulae showed the strongest correlation with volumetric reference spleen measurement. Among unidimensional measurements, the sagittal LAD had the best correlation with the actual splenic volume. The two-dimensional calculation methods were less reliable. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results