Novel Technique Reduces Angiography Radiation Exposure
|
By MedImaging International staff writers Posted on 19 Jan 2022 |

Image: A visual comparison of DSA (L) and DVA (R) (Photo courtesy of RSNA)
A new x-ray image processing technique can improve standard angiography contrast-to-noise ratio (CNR) while reducing patient risk, according to a new study.
Developed at Goethe University Hospital (KGU; Frankfurt am Main, Germany), digital variance angiography (DVA) uses the same raw series of x-ray images acquired in digital subtraction angiography (DSA), but instead of subtracting the pre-contrast image from the series, DVA applies an algorithm that calculates the variance of each pixel intensity in the series. BY doing so, DVA provides a visual kinetic image of contrast agent distribution in the blood vessels.
To test DVA, the researchers conducted a study in 37 patients (42-82 years of age) who underwent prostatic artery embolization (PAE) at KGU from May to October of 2020. In all, 142 acquisitions were included in the analysis, and DSA and DVA images were generated from the same raw series. Color image processing was added to enhance visualization of the contrast media according to the color spectrum of visible light and calculated CNR values. Three readers evaluated image quality in a randomized blinded survey, using a five-grade-Likert-scale.
The results revealed that the DVA images generated provided 4.1 times higher CNR than the DSA images; the median contrast-to-noise values were 29.5 for DVA and 7.2 for DSA. The DVA images also received significantly higher Likert scores (median value of 4.33) than the DSA images, with a median value of 3.67. The researchers also found DVA could significantly reduce radiation exposure and the amount of iodinated contrast agent required. The study was presented at the RSNA annual meeting, held during November 2021 in Chicago (IL, USA).
“Prostatic artery embolizations require long procedure times and large doses of fluoroscopy contrast agents. The quality reserve of DVA might provide an opportunity for the reduction of radiation exposure and iodinated contrast media,” said study presenter Leona Alizadeh, of the KGU Institute of Diagnostic and Interventional Radiology. “The data in this initial retrospective trial indicate that DVA has significantly higher CNR and enhanced image quality compared to DSA in prostatic artery embolization procedures.”
The PAE procedure blocks the blood flow to the areas of the prostate that are most affected by benign prostatic hyperplasia (BPH), resulting in necrosis and causing the prostate to initially be softer, alleviating some of the pressure that is causing blockage of the urine. Over several months, the body’s immune system reabsorbs the dead tissue and shrinkage of the prostate. Over a six- month period, the prostate will shrink by 20-40%, resulting in improved and less frequent urination.
Related Links:
Goethe University Hospital
Developed at Goethe University Hospital (KGU; Frankfurt am Main, Germany), digital variance angiography (DVA) uses the same raw series of x-ray images acquired in digital subtraction angiography (DSA), but instead of subtracting the pre-contrast image from the series, DVA applies an algorithm that calculates the variance of each pixel intensity in the series. BY doing so, DVA provides a visual kinetic image of contrast agent distribution in the blood vessels.
To test DVA, the researchers conducted a study in 37 patients (42-82 years of age) who underwent prostatic artery embolization (PAE) at KGU from May to October of 2020. In all, 142 acquisitions were included in the analysis, and DSA and DVA images were generated from the same raw series. Color image processing was added to enhance visualization of the contrast media according to the color spectrum of visible light and calculated CNR values. Three readers evaluated image quality in a randomized blinded survey, using a five-grade-Likert-scale.
The results revealed that the DVA images generated provided 4.1 times higher CNR than the DSA images; the median contrast-to-noise values were 29.5 for DVA and 7.2 for DSA. The DVA images also received significantly higher Likert scores (median value of 4.33) than the DSA images, with a median value of 3.67. The researchers also found DVA could significantly reduce radiation exposure and the amount of iodinated contrast agent required. The study was presented at the RSNA annual meeting, held during November 2021 in Chicago (IL, USA).
“Prostatic artery embolizations require long procedure times and large doses of fluoroscopy contrast agents. The quality reserve of DVA might provide an opportunity for the reduction of radiation exposure and iodinated contrast media,” said study presenter Leona Alizadeh, of the KGU Institute of Diagnostic and Interventional Radiology. “The data in this initial retrospective trial indicate that DVA has significantly higher CNR and enhanced image quality compared to DSA in prostatic artery embolization procedures.”
The PAE procedure blocks the blood flow to the areas of the prostate that are most affected by benign prostatic hyperplasia (BPH), resulting in necrosis and causing the prostate to initially be softer, alleviating some of the pressure that is causing blockage of the urine. Over several months, the body’s immune system reabsorbs the dead tissue and shrinkage of the prostate. Over a six- month period, the prostate will shrink by 20-40%, resulting in improved and less frequent urination.
Related Links:
Goethe University Hospital
Latest Radiography News
- Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery
- AI Detection Tool Improves Identification of Lobular Breast Cancer
- New Contrast Agent Enables Low-Dose X-Ray Joint Imaging
- AI Boosts Breast Cancer Detection and Cuts Screening Workload
- AI Tool Predicts Breast Cancer Risk Years Ahead Using Routine Mammograms
- Routine Mammograms Could Predict Future Cardiovascular Disease in Women
- AI Detects Early Signs of Aging from Chest X-Rays
- X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
- AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
- AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
- AI Hybrid Strategy Improves Mammogram Interpretation
- AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
- RSNA AI Challenge Models Can Independently Interpret Mammograms
- New Technique Combines X-Ray Imaging and Radar for Safer Cancer Diagnosis
- New AI Tool Helps Doctors Read Chest X‑Rays Better
- Wearable X-Ray Imaging Detecting Fabric to Provide On-The-Go Diagnostic Scanning
Channels
MRI
view channel
Cardiac MRI Measure Improves Risk Prediction in Tricuspid Regurgitation
Tricuspid regurgitation, in which blood flows back from the right ventricle into the right atrium, can lead to progressive right-sided heart failure. Clinicians need reliable ways to gauge severity and... Read more
AI System Improves Accuracy of Cardiac MRI Interpretation
Cardiac magnetic resonance imaging (MRI) is the reference standard for assessing cardiac structure, function, and tissue health. Yet each exam can contain hundreds to thousands of images across multiple... Read moreUltrasound
view channelAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read moreNuclear Medicine
view channelMR-Guided Cardiac Mapping System Enables Radiation-Free Procedures
Cardiac electrophysiology procedures are typically guided by X-ray fluoroscopy, which limits soft-tissue visualization and exposes patients and clinical staff to ionizing radiation. Real-time mapping that... Read more
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channelMultimodal AI Tool Combines CT and Health Records to Predict Heart Risk
Cardiovascular disease is a leading cause of death and an underrecognized risk for people treated for breast cancer. Cardiac complications can affect survival and quality of life. Clinicians need tools... Read more
AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer
Cervical cancer causes most of its global mortality in low- and middle-income countries, where radiotherapy capacity and specialist staff are limited. Treatment planning is labor-intensive and can delay... Read moreImaging IT
view channel
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
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 Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







