Automatic Calcium Score Assessment from Coronary CTA Shows Potential to Eliminate Need for Separate Scan
|
By MedImaging International staff writers Posted on 02 Aug 2011 |
Proof-of-concept has been achieved with the first fully automated software that performs calcium scoring directly from a coronary computed tomography angiography (cCTA) study. This technology, the first to show strong correlation with the standard Agatston scoring, has the potential to eliminate the need for a separate calcium score (CS) exam, and thereby reduce costs and decrease patient radiation exposure.
This work in progress is based on Rcadia Medical Imaging (Newton, MA, USA) COR analyzer system technology for fully automatic detection of stenosis in cCTA studies.
CS is an important predictor of coronary artery disease that is typically used by cardiologists. Until recently, a separate calcium scoring CT study was frequently conducted prior to a cCTA exam. With the new generation of CT scanners, CS can be accomplished from cCTA; a separate CS study, which increases the patient’s radiation exposure, has the potential to be avoided. The feasibility of this approach has been demonstrated by a number of studies using semi-automatic segmentation of calcified lesions. Rcadia is developing a system based on a fully automatic approach designed to bring simplicity and consistency into this technique.
To evaluate the diagnostic performance of the system, a retrospective trial was conducted based on cCTA and standard calcium scoring studies of 215 patients. Calcium score automatically computed from cCTA by Rcadia’s software was compared to the Agatston score obtained from nonenhanced calcium scoring studies using the standard technique. The system demonstrated good correlation with the standard Agatston score, achieving 90% accuracy for the classification into five calcium score ranges (0, 1-10, 11-100, 101-400, and above 400). The company believes the trial is the first reported study to match an automatically computed calcium score from cCTA to the standard Agatston score from non-enhanced calcium scoring studies.
“The promising results of this first trial suggest that automatic calcium score assessment has potential to increase the value of the cCTA exam,” said Shai Levanon, president and CEO of Rcadia. “The software will be optimized and validated in future studies.” He noted, “The calcium scoring application is in line with the company’s vision of providing a comprehensive analysis of coronary arteries, including quantitative assessment of the total coronary plaque burden and introduction of an alternative to calcium score with better predictive value.”
Rcadia Medical Imaging, Ltd. develops and markets proprietary computerized systems that automatically detect clinical abnormalities in digital medical images, particularly for patient triage in emergency, life-threatening conditions. The company’s first US Food and Drug Administration (FDA)-cleared product, the COR analyzer system, provides fully automated, real-time analysis of coronary CT angiography to enable the practical application of cCTA in detecting significant coronary artery disease. The COR analyzer improves the utility of coronary CTA studies in the emergency department to triage chest pain patients and optimizes workflow in cardiology and radiology departments.
Related Links:
Rcadia Medical Imaging
This work in progress is based on Rcadia Medical Imaging (Newton, MA, USA) COR analyzer system technology for fully automatic detection of stenosis in cCTA studies.
CS is an important predictor of coronary artery disease that is typically used by cardiologists. Until recently, a separate calcium scoring CT study was frequently conducted prior to a cCTA exam. With the new generation of CT scanners, CS can be accomplished from cCTA; a separate CS study, which increases the patient’s radiation exposure, has the potential to be avoided. The feasibility of this approach has been demonstrated by a number of studies using semi-automatic segmentation of calcified lesions. Rcadia is developing a system based on a fully automatic approach designed to bring simplicity and consistency into this technique.
To evaluate the diagnostic performance of the system, a retrospective trial was conducted based on cCTA and standard calcium scoring studies of 215 patients. Calcium score automatically computed from cCTA by Rcadia’s software was compared to the Agatston score obtained from nonenhanced calcium scoring studies using the standard technique. The system demonstrated good correlation with the standard Agatston score, achieving 90% accuracy for the classification into five calcium score ranges (0, 1-10, 11-100, 101-400, and above 400). The company believes the trial is the first reported study to match an automatically computed calcium score from cCTA to the standard Agatston score from non-enhanced calcium scoring studies.
“The promising results of this first trial suggest that automatic calcium score assessment has potential to increase the value of the cCTA exam,” said Shai Levanon, president and CEO of Rcadia. “The software will be optimized and validated in future studies.” He noted, “The calcium scoring application is in line with the company’s vision of providing a comprehensive analysis of coronary arteries, including quantitative assessment of the total coronary plaque burden and introduction of an alternative to calcium score with better predictive value.”
Rcadia Medical Imaging, Ltd. develops and markets proprietary computerized systems that automatically detect clinical abnormalities in digital medical images, particularly for patient triage in emergency, life-threatening conditions. The company’s first US Food and Drug Administration (FDA)-cleared product, the COR analyzer system, provides fully automated, real-time analysis of coronary CT angiography to enable the practical application of cCTA in detecting significant coronary artery disease. The COR analyzer improves the utility of coronary CTA studies in the emergency department to triage chest pain patients and optimizes workflow in cardiology and radiology departments.
Related Links:
Rcadia Medical Imaging
Latest Radiography News
- 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
- AI Helps Radiologists Spot More Lesions in Mammograms
- AI Detects Fatty Liver Disease from Chest X-Rays
- AI Detects Hidden Heart Disease in Existing CT Chest Scans
- Ultra-Lightweight AI Model Runs Without GPU to Break Barriers in Lung Cancer Diagnosis
- AI Radiology Tool Identifies Life-Threatening Conditions in Milliseconds
Channels
MRI
view channel
New Material Boosts MRI Image Quality
Magnetic resonance imaging (MRI) is a cornerstone of modern diagnostics, yet certain deep or anatomically complex tissues, including delicate structures of the eye and orbit, remain difficult to visualize clearly.... Read more
AI Model Reads and Diagnoses Brain MRI in Seconds
Brain MRI scans are critical for diagnosing strokes, hemorrhages, and other neurological disorders, but interpreting them can take hours or even days due to growing demand and limited specialist availability.... Read moreMRI Scan Breakthrough to Help Avoid Risky Invasive Tests for Heart Patients
Heart failure patients often require right heart catheterization to assess how severely their heart is struggling to pump blood, a procedure that involves inserting a tube into the heart to measure blood... Read more
MRI Scans Reveal Signature Patterns of Brain Activity to Predict Recovery from TBI
Recovery after traumatic brain injury (TBI) varies widely, with some patients regaining full function while others are left with lasting disabilities. Prognosis is especially difficult to assess in patients... Read moreUltrasound
view channel
Reusable Gel Pad Made from Tamarind Seed Could Transform Ultrasound Examinations
Ultrasound imaging depends on a conductive gel to eliminate air between the probe and the skin so sound waves can pass clearly into the body. While the imaging technology is fast, safe, and noninvasive,... Read more
AI Model Accurately Detects Placenta Accreta in Pregnancy Before Delivery
Placenta accreta spectrum (PAS) is a life-threatening pregnancy complication in which the placenta abnormally attaches to the uterine wall. The condition is a leading cause of maternal mortality and morbidity... Read moreNuclear Medicine
view channel
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 more
Cancer “Flashlight” Shows Who Can Benefit from Targeted Treatments
Targeted cancer therapies can be highly effective, but only when a patient’s tumor expresses the specific protein the treatment is designed to attack. Determining this usually requires biopsies or advanced... Read moreGeneral/Advanced Imaging
view channel
AI Tool Predicts Side Effects from Lung Cancer Treatment
Radiation therapy is a central treatment for lung cancer, but even carefully targeted radiation can affect surrounding healthy tissue. Patients may develop side effects such as lung inflammation, coughing,... Read more
AI Tool Offers Prognosis for Patients with Head and Neck Cancer
Oropharyngeal cancer is a form of head and neck cancer that can spread through lymph nodes, significantly affecting survival and treatment decisions. Current therapies often involve combinations of surgery,... 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
Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
Clinical imaging services face rising demand for precise molecular diagnostics and targeted radiopharmaceutical therapy as cancer and chronic disease rates climb. A new market analysis projects rapid expansion... Read more







