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Quantifying Body Composition and Liver Disease in Children using Free-Breathing MRI and MRE

使用自由呼吸 MRI 和 MRE 量化儿童的身体成分和肝脏疾病

基本信息

批准号：
10560491
负责人：
Kara Lynne Calkins
金额：
$ 54.27万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-05-08 至 2025-02-28
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10560491
关键词：
3-Dimensional Abdomen Adipose tissue Age Anesthesia procedures Area Biological Markers Biopsy Body Composition Breathing Child Childhood Chronic Cirrhosis Detection Diagnosis Disease Early Diagnosis Engineering Evaluation Exclusion Fatty Liver Fatty acid glycerol esters Fibrosis Gestational Diabetes Goals Hepatic Image Imaging Techniques Individual Infant Ionizing radiation Knowledge Liver Liver Failure Liver Fibrosis Liver diseases Magnetic Resonance Imaging Measures Monitor Morphologic artifacts Mothers Motion Obesity Overweight Pathologist Patients Pharmaceutical Preparations Population Prevention strategy Procedures Protons Radial Radiation Receiver Operating Characteristics Reference Standards Research Research Personnel Research Project Grants Risk Sample Size Sampling Biases Scanning Scientist Sedation procedure Slice Techniques Technology Testing Therapeutic Tissues Variant Visceral cohort density diagnosis standard elastography global health high risk image reconstruction improved innovation liver biopsy liver injury liver stiffness liver transplantation non-alcoholic fatty liver disease nonalcoholic steatohepatitis novel obesity development obesity in children pediatric non-alcoholic fatty liver disease prevent radiologist side effect success treatment response young adult

项目摘要

PROJECT SUMMARY More than 13.7 million children in the U.S. are obese, and all are at high risk for non-alcoholic fatty liver disease (NAFLD), which can lead to fibrosis and progress to liver failure. NAFLD is the most common chronic pediatric liver disease and number one indication for liver transplant in young adults. Accurate assessments of visceral adipose tissue and hepatic fat and fibrosis are critical to the understanding, early diagnosis, and evaluation of new treatments for pediatric obesity and NAFLD. However, there is a lack of child-appropriate technologies to quantify visceral adipose tissue and hepatic fat and fibrosis. Conventional imaging techniques for body composition involve radiation and do not measure individual adipose tissue compartments. Although liver biopsy is the gold standard for diagnosis, this procedure is invasive, requires anesthesia and has complications. Moreover, biopsy findings can be non-specific and suffer from sampling bias and interpretation variability. Magnetic resonance imaging and elastography (MRI and MRE) are promising non-invasive technologies. MRI quantifies visceral adipose tissue and hepatic fat. MRE quantifies hepatic fibrosis. MRI and MRE do not require ionizing radiation or biopsy. However, current MRI/MRE technology is not appropriate for most children and infants because it requires breath-holding to limit abdominal motion. In young children and infants, breath-holding is not possible. Even in children who can breath-hold, inconsistency and reduced capacity in breath-holding leads to long scan times, corrupted images, failed scans, and unreliable results. Although sedation can facilitate breath-holding, it is associated with negative side effects. As a result, current MRI/MRE technologies typically exclude many children. To overcome these limitations, the research team created new free-breathing (FB) 3D stack-of-radial MRI technology to quantify visceral adipose tissue and hepatic fat in children and infants. The research team has also developed new 2D radial FB-MRE technology to quantify hepatic fibrosis in children. The objectives of this project are to further develop and evaluate FB-MRI/MRE. The research team will reduce FB-MRI/MRE scan times while maintaining high image quality, demonstrate a high level of accuracy and precision, validate FB-MRI/MRE results against biopsy, and test FB-MRI in a population that cannot breath-hold. The research team will leverage innovations in simultaneous multi-slice imaging, sparsity-constrained tensor image reconstruction, and self- navigation to: 1) Develop new radial FB-MRI/MRE technologies that quantify visceral adipose tissue and hepatic fat and fibrosis with rapid scan times (1-2 min) and minimal motion artifacts, 2) Measure the accuracy and precision of the new FB-MRI/MRE for quantifying these biomarkers, 3) Compare the FB-MRI/MRE biomarkers to liver biopsy in children with liver disease, and 4) Test new FB-MRI technology in infants. The innovative radial FB- MRI/MRE technology will reliably quantify body composition and liver disease in children and infants. In turn, FB-MRI/MRE will improve the early diagnosis, treatment monitoring, and understanding and management of pediatric obesity, NAFLD, and other liver diseases.

项目总结

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Deep Learning-Based Parameter Mapping with Uncertainty Estimation for Fat Quantification using Accelerated Free-Breathing Radial MRI.

DOI：
10.1109/isbi48211.2021.9433938
发表时间：
2021-04
期刊：
Proceedings. IEEE International Symposium on Biomedical Imaging
影响因子：
0
作者：
Shih SF;Kafali SG;Armstrong T;Zhong X;Calkins KL;Wu HH
通讯作者：
Wu HH

Pregnancies complicated by gestational diabetes and fetal growth restriction: an analysis of maternal and fetal body composition using magnetic resonance imaging.

DOI：
10.1038/s41372-022-01549-5
发表时间：
2023-01
期刊：
JOURNAL OF PERINATOLOGY
影响因子：
2.9
作者：
Strobel, Katie M.;Kafali, Sevgi Gokce;Shih, Shu-Fu;Artura, Alexandra M.;Masamed, Rinat;Elashoff, David;Wu, Holden H.;Calkins, Kara L.
通讯作者：
Calkins, Kara L.

3D Neural Networks for Visceral and Subcutaneous Adipose Tissue Segmentation using Volumetric Multi-Contrast MRI.