New Imaging Technology Detects Gastric Lymphomas
|
By MedImaging International staff writers Posted on 13 Oct 2021 |
|
Image: MALT lymphomas express the chemokine receptor CXCR4 (Photo courtesy of MedUni)
A new imaging technique for the detection of gastric mucosa-associated lymphoid tissue (MALT) lymphomas could reduce invasive gastroscopy biopsies, according to a new study.
The study, by researchers at Memorial Sloan-Kettering Cancer Center (MSKCC; New York, NY, USA), the Medical University of Vienna (MedUni; Austria), and other institutions, explored if [68Ga]Pentixafor, a positron emission tomography (PET) tracer that targets the chemokine receptor CXCR4 (which is overexpressed in MALT lymphoma), could serve as a potential alternative to follow-up biopsies for assessment of residual disease following first-line H. pylori eradication.
The study, which included [68Ga]Pentixafor-PET and magnetic resonance imaging (MRI) scans in 26 gastric MALT lymphoma patients and 20 control group patients without lymphoma, showed that accuracy, sensitivity, specificity, and positive and negative predictive value of [68Ga]Pentixafor-PET for detection of residual gastric MALT lymphoma at follow-up were 97%, 95%, 100%, 100%, and 92.9%, respectively. Maximum and mean PET standardized uptake values also showed correlation with immunohistochemistry-based CXCR4 cell counts. The study was published on September 15, 2021, in Blood.
“Post-treatment evaluation of gastric MALT currently relies on esophagogastroduodenoscopy with histological assessment of biopsies,” concluded lead author Marius Mayerhöfer, PhD, of the MedUni department of biomedical imaging and image-guided therapy, and colleagues. “If a sufficiently high CXCR4 expression is detected at the initial diagnosis of MALT lymphoma, the new imaging could replace repeated gastroscopies in the course of the disease in the future, or at least increase the time intervals between gastroscopies.”
CXCR4 is an alpha-chemokine receptor specific for stromal-derived-factor-1 (SDF-1), a molecule with potent chemotactic activity for lymphocytes. After attachment to SDF-1, the CXCR4 protein activates signaling pathways inside the cell that help regulate cell growth and proliferation. CXCR4 is also involved in cell migration cells, especially hematopoietic stem cells in the bone marrow.
Related Links:
Memorial Sloan-Kettering Cancer Center
Medical University of Vienna
The study, by researchers at Memorial Sloan-Kettering Cancer Center (MSKCC; New York, NY, USA), the Medical University of Vienna (MedUni; Austria), and other institutions, explored if [68Ga]Pentixafor, a positron emission tomography (PET) tracer that targets the chemokine receptor CXCR4 (which is overexpressed in MALT lymphoma), could serve as a potential alternative to follow-up biopsies for assessment of residual disease following first-line H. pylori eradication.
The study, which included [68Ga]Pentixafor-PET and magnetic resonance imaging (MRI) scans in 26 gastric MALT lymphoma patients and 20 control group patients without lymphoma, showed that accuracy, sensitivity, specificity, and positive and negative predictive value of [68Ga]Pentixafor-PET for detection of residual gastric MALT lymphoma at follow-up were 97%, 95%, 100%, 100%, and 92.9%, respectively. Maximum and mean PET standardized uptake values also showed correlation with immunohistochemistry-based CXCR4 cell counts. The study was published on September 15, 2021, in Blood.
“Post-treatment evaluation of gastric MALT currently relies on esophagogastroduodenoscopy with histological assessment of biopsies,” concluded lead author Marius Mayerhöfer, PhD, of the MedUni department of biomedical imaging and image-guided therapy, and colleagues. “If a sufficiently high CXCR4 expression is detected at the initial diagnosis of MALT lymphoma, the new imaging could replace repeated gastroscopies in the course of the disease in the future, or at least increase the time intervals between gastroscopies.”
CXCR4 is an alpha-chemokine receptor specific for stromal-derived-factor-1 (SDF-1), a molecule with potent chemotactic activity for lymphocytes. After attachment to SDF-1, the CXCR4 protein activates signaling pathways inside the cell that help regulate cell growth and proliferation. CXCR4 is also involved in cell migration cells, especially hematopoietic stem cells in the bone marrow.
Related Links:
Memorial Sloan-Kettering Cancer Center
Medical University of Vienna
X-Ray Illuminator
X-Ray Viewbox Illuminators
Ultrasound Table
Women’s Ultrasound EA Table
Mammo DR Retrofit Solution
DR Retrofit Mammography
Breast Localization System
MAMMOREP LOOP
Latest General/Advanced Imaging News
- New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
- AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
- Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities
- Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
- Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans
- New CT-Based Indicator Helps Predict Life-Threatening Postpartum Bleeding Cases
- CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
- First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
- AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
- CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
- Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients
- AI Reduces CT Lung Cancer Screening Workload by Almost 80%
- Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
- AI System Detects Subtle Changes in Series of Medical Images Over Time
Channels
Radiography
view channel
AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
Osteoarthritis, a degenerative joint disease affecting over 500 million people worldwide, is the leading cause of disability among older adults. Current diagnostic tools allow doctors to assess damage... Read more
AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
Cardiovascular disease remains the leading cause of death in women worldwide, responsible for about nine million deaths annually. Despite this burden, symptoms and risk factors are often under-recognized... Read more
MRI
view channel
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read more
Ultrasound
view channel
Ultrasound Probe Images Entire Organ in 4D
Disorders of blood microcirculation can have devastating effects, contributing to heart failure, kidney failure, and chronic diseases. However, existing imaging technologies cannot visualize the full network... Read more
Disposable Ultrasound Patch Performs Better Than Existing Devices
Wearable ultrasound devices are widely used in diagnostics, rehabilitation monitoring, and telemedicine, yet most existing models rely on lead-based piezoelectric ceramics that pose health and environmental risks.... Read more
Nuclear Medicine
view channel
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read more
PET Tracer Enables Same-Day Imaging of Triple-Negative Breast and Urothelial Cancers
Triple-negative breast cancer (TNBC) and urothelial bladder carcinoma (UBC) are aggressive cancers often diagnosed at advanced stages, leaving limited time for effective treatment decisions.... Read more
New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... 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 more
Industry 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