Non-Invasive MR Elastography Could Provide Alternative to Liver Biopsy in Obese Patients
By MedImaging International staff writers Posted on 17 Mar 2023 |

Three-dimensional MR elastography (MRE) scans have the potential to simultaneously assess liver fibrosis and inflammation. However, existing 3D MRE methods present several challenges, such as requiring multiple sequences, each requiring the patient to hold their breath, which can reduce the precision of the liver’s geometric alignment and hinder clinical acceptance. This issue is exacerbated in obese patients, as their high body mass index (BMI) can interfere with the penetration of mechanical waves. To address these challenges, researchers have investigated a new approach that involves a single breath-hold, which obese patients can more easily tolerate and reproduce.
In a technical development study, researchers at King’s College London (KCL, London, UK) have demonstrated how a single 17-second breath-hold successfully reduced the overall MRE sequence acquisition time including multiple slices, wave offsets and motion encodings. For the study, the researchers prospectively enrolled individuals between the period November 2020 and December 2021 and divided them into two groups. Group 1 comprised healthy volunteers (n = 10) who acted as controls to compare the single breath-hold 3D MRE sequence with a multiple–breath-hold 3D MRE sequence. Group 2 comprised liver patients (n = 10) who served as participants to evaluate the clinical feasibility of the single breath-hold 3D MRE sequence in measuring liver fibrosis and inflammation. The controls and participants were scanned at 60 Hz mechanical excitation with the single breath-hold 3D MRE sequence to retrieve the magnitude of the complex-valued shear modulus (|G*| [kPa]), the shear wave speed (Cs [m/s]), and the loss modulus (G" [kPa]). Additionally, the controls were scanned with a multiple–breath-hold 3D MRE sequence for comparison, and the participants had histopathology (Ishak scores) for correlation with Cs and G".
Among the 10 controls, five were female with a mean age and body mass index of 33.1 ± 9.5 years and 23.0 ± 2.1 kg/m2, respectively. Among the 10 participants, eight were female with a mean age and body mass index of 45.1 ± 16.5 years and 33.1 ± 4.0 kg/m2 (obese range), respectively. All the study participants were suspected of having nonalcoholic fatty liver disease. Bland-Altman analysis of the comparison in controls exhibited non-significant differences in |G*|, Cs, and G" below 6.5%, indicating good consensus between the two sequences. For the participants, Cs and G" correlated significantly with Ishak fibrosis and inflammation grades, respectively (ρ = 0.95, P < 0.001, and ρ = 0.84, P = 0.002). Based on the findings, the researchers concluded that the single breath-hold 3D MRE sequence may be effective in measuring liver fibrosis and inflammation in obese patients.
“Non-alcoholic fatty live disease is a health crisis across the globe and evaluating patients in a time efficient fashion is becoming of high importance in medicine,” said Omar Darwish, PhD student, School of Biomedical Engineering & Imaging Sciences. “Liver biopsy is invasive, costly, and accompanied with complications. These could be mitigated by a successful proof of concept in 3D MRE sequencing and warrants a larger clinical study to further evaluate diagnostic accuracy and performance.”
Related Links:
King’s College London
Latest MRI News
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
- New Model Makes MRI More Accurate and Reliable
- New Scan Method Shows Effects of Treatment on Lung Function in Real Time
Channels
Radiography
view channel
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read more
Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
Lung cancer continues to be the leading cause of cancer-related deaths worldwide. While advanced technologies like CT scanners play a crucial role in detecting lung cancer, more accessible and affordable... Read moreUltrasound
view channel
Smart Ultrasound-Activated Immune Cells Destroy Cancer Cells for Extended Periods
Chimeric antigen receptor (CAR) T-cell therapy has emerged as a highly promising cancer treatment, especially for bloodborne cancers like leukemia. This highly personalized therapy involves extracting... Read more
Tiny Magnetic Robot Takes 3D Scans from Deep Within Body
Colorectal cancer ranks as one of the leading causes of cancer-related mortality worldwide. However, when detected early, it is highly treatable. Now, a new minimally invasive technique could significantly... Read more
High Resolution Ultrasound Speeds Up Prostate Cancer Diagnosis
Each year, approximately one million prostate cancer biopsies are conducted across Europe, with similar numbers in the USA and around 100,000 in Canada. Most of these biopsies are performed using MRI images... Read more
World's First Wireless, Handheld, Whole-Body Ultrasound with Single PZT Transducer Makes Imaging More Accessible
Ultrasound devices play a vital role in the medical field, routinely used to examine the body's internal tissues and structures. While advancements have steadily improved ultrasound image quality and processing... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more