CT Matches MRI for Late-Window Stroke Evaluation
By MedImaging International staff writers Posted on 18 Feb 2019 |

Image: As part of a new study, researchers found that for stroke patients treated 3-6 hours after onset with intravenous tPA, baseline MRI findings can identify subgroups that are likely to benefit from reperfusion therapies and can potentially identify subgroups that are unlikely to benefit or may be harmed (Photo courtesy of Medscape).
Stroke patients who underwent endovascular therapy had similar improvement following treatment, regardless of the perfusion imaging used to confirm their eligibility for surgical procedures, according to a new study.
Researchers Stanford University School of Medicine (CA, USA) and the University of Texas Health Science Center (UTHSCSA; Houston, USA) conducted a study to evaluate whether the imaging-based selection criteria--computerized tomography (CT) or magnetic resonance imaging (MRI)--used prior to endovascular therapy showed comparable outcome rates and treatment benefits. The trial comprised 38 stroke centers in the United States and 182 patients (median age 70 years, 51% women) with stroke treated within 6 to 16 hours from last known well.
All patients underwent either perfusion MRI or perfusion CT to confirm that they had sufficient amounts of salvageable tissue to make surgery viable. The results revealed that endovascular therapy benefit was uniform across patients of various ages, regardless of the symptom severity, time to treatment, location of occlusion, and type of perfusion imaging they underwent prior to endovascular therapy, indicating that either modality could be used for patient selection. The study was published on January 28, 2019, in JAMA Neurology.
"Endovascular therapy in the 6-16-hour time window in patients with evidence of salvageable tissue on brain perfusion imaging is beneficial in a broad patient population, including patients who have mild or severe symptoms, and who are selected by CT or MRI,” concluded lead author Maarten Lansberg, PhD, of Stanford University, and colleagues. “These results have health care implications indicating transferring potential candidates for late-window thrombectomy is associated with substantial clinical benefits, and should be encouraged.”
Rapid and effective revascularization is the mainstay of acute ischemic stroke treatment. Until recently, intravenous recombinant tissue-type plasminogen activator (r-tPA) was the only established therapeutic option. New studies have proven the benefit of endovascular treatment, and thrombectomy with stent retrievers is now recommended as the standard of care for acute ischemic strokes with a proximal large vessel occlusion in the anterior circulation.
Related Links:
Stanford University School of Medicine
University of Texas Health Science Center
Researchers Stanford University School of Medicine (CA, USA) and the University of Texas Health Science Center (UTHSCSA; Houston, USA) conducted a study to evaluate whether the imaging-based selection criteria--computerized tomography (CT) or magnetic resonance imaging (MRI)--used prior to endovascular therapy showed comparable outcome rates and treatment benefits. The trial comprised 38 stroke centers in the United States and 182 patients (median age 70 years, 51% women) with stroke treated within 6 to 16 hours from last known well.
All patients underwent either perfusion MRI or perfusion CT to confirm that they had sufficient amounts of salvageable tissue to make surgery viable. The results revealed that endovascular therapy benefit was uniform across patients of various ages, regardless of the symptom severity, time to treatment, location of occlusion, and type of perfusion imaging they underwent prior to endovascular therapy, indicating that either modality could be used for patient selection. The study was published on January 28, 2019, in JAMA Neurology.
"Endovascular therapy in the 6-16-hour time window in patients with evidence of salvageable tissue on brain perfusion imaging is beneficial in a broad patient population, including patients who have mild or severe symptoms, and who are selected by CT or MRI,” concluded lead author Maarten Lansberg, PhD, of Stanford University, and colleagues. “These results have health care implications indicating transferring potential candidates for late-window thrombectomy is associated with substantial clinical benefits, and should be encouraged.”
Rapid and effective revascularization is the mainstay of acute ischemic stroke treatment. Until recently, intravenous recombinant tissue-type plasminogen activator (r-tPA) was the only established therapeutic option. New studies have proven the benefit of endovascular treatment, and thrombectomy with stent retrievers is now recommended as the standard of care for acute ischemic strokes with a proximal large vessel occlusion in the anterior circulation.
Related Links:
Stanford University School of Medicine
University of Texas Health Science Center
Latest MRI News
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- 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
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
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 moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... 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