Tu1027 Effect of Colesevelam on Magnetic Resonance Imaging Derived Fat Maps in Nonalcoholic Steatohepatitis: A Randomized Controlled Trial

Le, Thuy; Chen, Joshua; Changchien, Christopher; Peterson, Michael R.; Cohen, Benjamin L.; Kono, Yuko; Patton, Heather; Brenner, David A.; Sirlin, Claude B.; Loomba, Rohit

doi:10.1016/s0016-5085(12)63926-2

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…61,63,67,68 Furthermore, longitudinal studies have suggested that PDFF may be more sensitive than histological quantification for early steatosis. 69,70 The data from these validation studies have supported the use of liver PDFF measurements in clinical trials. PDFF measurements have recently been used as endpoints in double-blind randomized, placebo-controlled trials of colesevelam and ezetimibe for NASH, 14,69 and of insulin glargine and liraglutide for poorly controlled Type2 diabetes.…”

Section: Bjr Bray Et Almentioning

confidence: 71%

“…69,70 The data from these validation studies have supported the use of liver PDFF measurements in clinical trials. PDFF measurements have recently been used as endpoints in double-blind randomized, placebo-controlled trials of colesevelam and ezetimibe for NASH, 14,69 and of insulin glargine and liraglutide for poorly controlled Type2 diabetes. 71 These studies highlight the value of PDFF measurements as primary outcome measures for high quality randomized controlled trials evaluating the next generation of treatments for NASH, NAFLD and diabetes.…”

Section: Bjr Bray Et Almentioning

confidence: 71%

See 1 more Smart Citation

Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology

Bray

Chouhan

Punwani

et al. 2017

The British Journal of Radiology

View full text Add to dashboard Cite

Adipose cells have traditionally been viewed as a simple, passive energy storage depot for triglycerides. However, in recent years it has become clear that adipose cells are highly physiologically active and have a multitude of endocrine, metabolic, haematological and immune functions. Changes in the number or size of adipose cells may be directly implicated in disease (e.g. in the metabolic syndrome), but may also be linked to other pathological processes such as inflammation, malignant infiltration or infarction. MRI is ideally suited to the quantification of fat, since most of the acquired signal comes from water and fat protons. Fat fraction (FF, the proportion of the acquired signal derived from fat protons) has, therefore, emerged as an objective, image-based biomarker of disease. Methods for FF quantification are becoming increasingly available in both research and clinical settings, but these methods vary depending on the scanner, manufacturer, imaging sequence and reconstruction software being used. Careful selection of the imaging method-and correct interpretation-can improve the accuracy of FF measurements, minimize potential confounding factors and maximize clinical utility. Here, we review methods for fat quantification and their strengths and weaknesses, before considering how they can be tailored to specific applications, particularly in the gastrointestinal and musculoskeletal systems. FF quantification is becoming established as a clinical and research tool, and understanding the underlying principles will be helpful to both imaging scientists and clinicians.

show abstract

Section: Bjr Bray Et Almentioning

confidence: 71%

Section: Bjr Bray Et Almentioning

confidence: 71%

Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology

Bray

Chouhan

Punwani

et al. 2017

The British Journal of Radiology

View full text Add to dashboard Cite

show abstract

“…Since invasive procedures are not preferred by the majority of patients, a reliable non-invasive method for a proper estimation of liver changes is required. MRI techniques have proven their value in patient monitoring and have been successfully used as an objective tool to evaluate histological response after therapeutic interventions in NAFLD [130,139]. The reduction in liver fat content quantified by MRI-PDFF showed a good correlation with histological improvement in treatment trials [140,141].…”

Section: Magnetic Resonance Imagingmentioning

confidence: 96%

Non-Invasive Diagnostic of NAFLD in Type 2 Diabetes Mellitus and Risk Stratification: Strengths and Limitations

Boeriu,

Dobru,

Fofiu

2023

Life

View full text Add to dashboard Cite

The progressive potential of liver damage in type 2 diabetes mellitus (T2DM) towards advanced fibrosis, end-stage liver disease, and hepatocarcinoma has led to increased concern for quantifying liver injury and individual risk assessment. The combination of blood-based markers and imaging techniques is recommended for the initial evaluation in NAFLD and for regular monitoring to evaluate disease progression. Continued development of ultrasonographic and magnetic resonance imaging methods for accurate quantification of liver steatosis and fibrosis, as well as promising tools for the detection of high-risk NASH, have been noted. In this review, we aim to summarize available evidence regarding the usefulness of non-invasive methods for the assessment of NAFLD in T2DM. We focus on the power and limitations of various methods for diagnosis, risk stratification, and patient monitoring that support their implementation in clinical setting or in research field.

show abstract

Tu1027 Effect of Colesevelam on Magnetic Resonance Imaging Derived Fat Maps in Nonalcoholic Steatohepatitis: A Randomized Controlled Trial

Cited by 2 publications

References 0 publications

Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology

Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology

Non-Invasive Diagnostic of NAFLD in Type 2 Diabetes Mellitus and Risk Stratification: Strengths and Limitations

Contact Info

Product

Resources

About