Game-Changing Technology Uses Live X-Ray Images for Guiding Endovascular Surgery
By MedImaging International staff writers Posted on 07 Jul 2022 |

Endovascular aneurysm repair (EVAR) is an alternative to open aortic surgery due to perceived advantages in patient survival, reduced post-operative complications and shorter hospital lengths of stay. Despite these potential advantages, there is still significant variability in pre-operative planning and sizing, problems associated with imprecise visualization and device positioning intra-operatively, and inconsistent patient outcomes. Now, a game-changing technology for vascular navigation aids in planning and guiding endovascular surgery and is simple to integrate with the existing imaging hardware that is already present in the hospital.
Cydar Medical’s (Cambridge, UK) Cydar EV is the first product from Cydar’s Intelligent Maps system. The patented computer vision automatically overlays the Map on the live X-ray imaging with exceptional accuracy and robustness. When guidewires and instruments deform the blood vessels, real-time imaging is used to update the Map to match the new, deformed anatomy. The result is an accurate, responsive 3D Map on the screen throughout a procedure.
During endovascular surgery, stiff guidewires often straighten, shorten and displace blood vessels. The surgeon uses grab handles positioned along virtual guide wires to adjust the shape of the 3D Map to match the real-time anatomy (non-rigid transformation). And, once adjusted, the system remembers that adjustment in 3D even when the X-ray set moves position. Toggling between the pre-operative map and the adjusted map helps the clinical team visualize how the anatomy has changed and position devices precisely. This reduces procedure length by 30-60 minutes in endovascular interventions and radiation exposure for clinical staff and patients is radically reduced, by 50% even in standard EVAR.
Cydar, in partnership with King’s College London (London, UK), has now initiated the ARIA Study: a randomized controlled trial to assess the clinical, technical and cost-effectiveness of a cloud-based, ARtificially Intelligent image fusion system in comparison to standard treatment to guide endovascular aortic aneurysm repair (ARIA). The randomized trial will enroll 340 patients in 10 sites across the UK with a clinical diagnosis of abdominal aortic or thoracoabdominal aortic aneurysm (AAA and TAAA respectively) suitable for endovascular treatment. The trial will follow patients for one year and assess the effect of Cydar EV Maps on clinical-, technical- and cost-effectiveness in comparison to standard treatment in endovascular aortic aneurysm repair, used for both standard and complex devices.
“Our central hypothesis is that digital technology - specifically cloud-computing and artificial intelligence (AI), can be used to assess and learn from large volumes of data to inform clinical decision making and has the potential to improve the predictability of individual patient outcomes and the consistency of outcomes in the NHS,” said Dr Rachel Clough, Principal Investigator of the ARIA Study and Clinical Senior Lecturer from King’s College London.
“Cydar EV Maps is a game-changing technology for vascular navigation. The ARIA study provides a unique opportunity to demonstrate the benefits like reduced procedure time and reduction to radiation exposure, although some of the more subtle benefits related to procedural quality and reduced operator fatigue may never be directly measured but are obvious as an operator,” said Dr. Simon Neequaye, Principal Investigator at the Liverpool University Hospital NHS Foundation Trust.
Related Links:
Cydar Medical
King’s College London
Latest Radiography News
- Novel Breast Imaging System Proves As Effective As Mammography
- AI Assistance Improves Breast-Cancer Screening by Reducing False Positives
- AI Could Boost Clinical Adoption of Chest DDR
- 3D Mammography Almost Halves Breast Cancer Incidence between Two Screening Tests
- AI Model Predicts 5-Year Breast Cancer Risk from Mammograms
- Deep Learning Framework Detects Fractures in X-Ray Images With 99% Accuracy
- Direct AI-Based Medical X-Ray Imaging System a Paradigm-Shift from Conventional DR and CT
- Chest X-Ray AI Solution Automatically Identifies, Categorizes and Highlights Suspicious Areas
- AI Diagnoses Wrist Fractures As Well As Radiologists
- Annual Mammography Beginning At 40 Cuts Breast Cancer Mortality By 42%
- 3D Human GPS Powered By Light Paves Way for Radiation-Free Minimally-Invasive Surgery
- Novel AI Technology to Revolutionize Cancer Detection in Dense Breasts
- AI Solution Provides Radiologists with 'Second Pair' Of Eyes to Detect Breast Cancers
- AI Helps General Radiologists Achieve Specialist-Level Performance in Interpreting Mammograms
- Novel Imaging Technique Could Transform Breast Cancer Detection
- Computer Program Combines AI and Heat-Imaging Technology for Early Breast Cancer Detection
Channels
Radiography
view channel
Novel Breast Imaging System Proves As Effective As Mammography
Breast cancer remains the most frequently diagnosed cancer among women. It is projected that one in eight women will be diagnosed with breast cancer during her lifetime, and one in 42 women who turn 50... Read more
AI Assistance Improves Breast-Cancer Screening by Reducing False Positives
Radiologists typically detect one case of cancer for every 200 mammograms reviewed. However, these evaluations often result in false positives, leading to unnecessary patient recalls for additional testing,... Read moreMRI
view channel
PET/MRI Improves Diagnostic Accuracy for Prostate Cancer Patients
The Prostate Imaging Reporting and Data System (PI-RADS) is a five-point scale to assess potential prostate cancer in MR images. PI-RADS category 3 which offers an unclear suggestion of clinically significant... Read more
Next Generation MR-Guided Focused Ultrasound Ushers In Future of Incisionless Neurosurgery
Essential tremor, often called familial, idiopathic, or benign tremor, leads to uncontrollable shaking that significantly affects a person’s life. When traditional medications do not alleviate symptoms,... Read more
Two-Part MRI Scan Detects Prostate Cancer More Quickly without Compromising Diagnostic Quality
Prostate cancer ranks as the most prevalent cancer among men. Over the last decade, the introduction of MRI scans has significantly transformed the diagnosis process, marking the most substantial advancement... Read moreUltrasound
view channel
Deep Learning Advances Super-Resolution Ultrasound Imaging
Ultrasound localization microscopy (ULM) is an advanced imaging technique that offers high-resolution visualization of microvascular structures. It employs microbubbles, FDA-approved contrast agents, injected... Read more
Novel Ultrasound-Launched Targeted Nanoparticle Eliminates Biofilm and Bacterial Infection
Biofilms, formed by bacteria aggregating into dense communities for protection against harsh environmental conditions, are a significant contributor to various infectious diseases. Biofilms frequently... Read moreNuclear Medicine
view channel
New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access
The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more
New Radiotheranostic System Detects and Treats Ovarian Cancer Noninvasively
Ovarian cancer is the most lethal gynecological cancer, with less than a 30% five-year survival rate for those diagnosed in late stages. Despite surgery and platinum-based chemotherapy being the standard... Read more
AI System Automatically and Reliably Detects Cardiac Amyloidosis Using Scintigraphy Imaging
Cardiac amyloidosis, a condition characterized by the buildup of abnormal protein deposits (amyloids) in the heart muscle, severely affects heart function and can lead to heart failure or death without... Read moreGeneral/Advanced Imaging
view channel
New AI Method Captures Uncertainty in Medical Images
In the field of biomedicine, segmentation is the process of annotating pixels from an important structure in medical images, such as organs or cells. Artificial Intelligence (AI) models are utilized to... Read more.jpg)
CT Coronary Angiography Reduces Need for Invasive Tests to Diagnose Coronary Artery Disease
Coronary artery disease (CAD), one of the leading causes of death worldwide, involves the narrowing of coronary arteries due to atherosclerosis, resulting in insufficient blood flow to the heart muscle.... Read more
Novel Blood Test Could Reduce Need for PET Imaging of Patients with Alzheimer’s
Alzheimer's disease (AD), a condition marked by cognitive decline and the presence of beta-amyloid (Aβ) plaques and neurofibrillary tangles in the brain, poses diagnostic challenges. Amyloid positron emission... Read more.jpg)
CT-Based Deep Learning Algorithm Accurately Differentiates Benign From Malignant Vertebral Fractures
The rise in the aging population is expected to result in a corresponding increase in the prevalence of vertebral fractures which can cause back pain or neurologic compromise, leading to impaired function... 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
Bayer and Google Partner on New AI Product for Radiologists
Medical imaging data comprises around 90% of all healthcare data, and it is a highly complex and rich clinical data modality and serves as a vital tool for diagnosing patients. Each year, billions of medical... Read more