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
- 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
- Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans
- AI Improves Early Detection of Interval Breast Cancers
- World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
- AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
- Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
- AI-Powered Mammograms Predict Cardiovascular Risk
- Generative AI Model Significantly Reduces Chest X-Ray Reading Time
- AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
- Photon Counting Detectors Promise Fast Color X-Ray Images
- AI Can Flag Mammograms for Supplemental MRI
- 3D CT Imaging from Single X-Ray Projection Reduces Radiation Exposure
- AI Method Accurately Predicts Breast Cancer Risk by Analyzing Multiple Mammograms
Channels
MRI
view channel
New MRI Technique Reveals Hidden Heart Issues
Traditional exercise stress tests conducted within an MRI machine require patients to lie flat, a position that artificially improves heart function by increasing stroke volume due to gravity-driven blood... Read more
Shorter MRI Exam Effectively Detects Cancer in Dense Breasts
Women with extremely dense breasts face a higher risk of missed breast cancer diagnoses, as dense glandular and fibrous tissue can obscure tumors on mammograms. While breast MRI is recommended for supplemental... Read moreUltrasound
view channel
Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery
Chronic pain affects millions of people globally, often leading to long-term disability and dependence on opioid medications, which carry significant risks of side effects and addiction.... Read more
New Medical Ultrasound Imaging Technique Enables ICU Bedside Monitoring
Ultrasound computed tomography (USCT) presents a safer alternative to imaging techniques like X-ray computed tomography (commonly known as CT or “CAT” scans) because it does not produce ionizing radiation.... Read moreNuclear Medicine
view channel
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 more
New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... Read moreGeneral/Advanced Imaging
view channel
CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
As colorectal cancer remains the second leading cause of cancer-related deaths worldwide, early detection through screening is vital to reduce advanced-stage treatments and associated costs.... Read more
First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
Currently, patients with conditions such as heart failure, pneumonia, or respiratory distress often require multiple imaging procedures that are intermittent, disruptive, and involve high levels of radiation.... Read more
AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
Radioligand therapy, a form of targeted nuclear medicine, has recently gained attention for its potential in treating specific types of tumors. However, one of the potential side effects of this therapy... 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