New Smartphone App Devised for Cardiac Imaging Test
By MedImaging International staff writers Posted on 20 Oct 2010 |
New application (app) mobile telephone technology is designed to give physicians access to published criteria used to evaluate the need for a patient to have cardiac radionuclide imaging (RNI).
The app will be available for free download on the iPhone (developed by of Apple, Inc., Cuppertino, CA, USA), Blackberry (developed by Research In Motion Limited, Waterloo, Ontario, Canada), and Android smartphone platforms (developed by Google, Mountain View, CA, USA). Astellas Pharma U.S., Inc. (Deerfield, IL, USA) announced the launch of the Appropriate Use Criteria (AUC) for cardiac radionuclide imaging app for smartphones.
The Appropriate Use Criteria (AUC) for Cardiac Radionuclide Imaging app was adapted from the ACCF/ASNC/ACR/AHA/ASE/SCCT/SCMR/SNM 2009 Appropriate Use Criteria (AUC) for Cardiac Radionuclide Imaging (RNI) published in 2009 in the journal Circulation. The AUC for RNI describes 67 individual patient indications, 8 indication categories, and 5 algorithms.
The app guides physicians through the criteria to assess patient history, clinical factors, and other important information to receive an instant appropriate use score for RNI. By entering information, physicians will receive a rating on a scale of 1-9 suggesting if the patient indication is appropriate (7-9), uncertain (4-6), or inappropriate (1-3) for RNI. Ratings can be viewed either by indication/category or patient algorithm.
According to a recent study of physicians and healthcare technology released in April 2010, 72% of physicians use smart phones personally and professionally, with that number expected to jump to 81% in 2012. "Astellas recognizes physicians are increasingly using smartphones and apps in the healthcare setting to access information,” said Robert C. Hendel, M.D., FACC, FAHA, FASNC, and chair of the Cardiac Radionuclide Imaging Writing Group that developed the 2009 AUC for RNI. "We partnered with them to develop this accurate, timely, assessment tool for use on smartphones and hope this app will promote awareness and use of the AUC for RNI published in 2009,” Dr. Hendel continued.
A preview and interactive demonstration of the app took place September 25, 2010, in conjunction with ASNC 2010: The 15th annual scientific session of the American Society of Nuclear Cardiology in Philadelphia, PA, USA.
Related Links:
Astellas Pharma US
The app will be available for free download on the iPhone (developed by of Apple, Inc., Cuppertino, CA, USA), Blackberry (developed by Research In Motion Limited, Waterloo, Ontario, Canada), and Android smartphone platforms (developed by Google, Mountain View, CA, USA). Astellas Pharma U.S., Inc. (Deerfield, IL, USA) announced the launch of the Appropriate Use Criteria (AUC) for cardiac radionuclide imaging app for smartphones.
The Appropriate Use Criteria (AUC) for Cardiac Radionuclide Imaging app was adapted from the ACCF/ASNC/ACR/AHA/ASE/SCCT/SCMR/SNM 2009 Appropriate Use Criteria (AUC) for Cardiac Radionuclide Imaging (RNI) published in 2009 in the journal Circulation. The AUC for RNI describes 67 individual patient indications, 8 indication categories, and 5 algorithms.
The app guides physicians through the criteria to assess patient history, clinical factors, and other important information to receive an instant appropriate use score for RNI. By entering information, physicians will receive a rating on a scale of 1-9 suggesting if the patient indication is appropriate (7-9), uncertain (4-6), or inappropriate (1-3) for RNI. Ratings can be viewed either by indication/category or patient algorithm.
According to a recent study of physicians and healthcare technology released in April 2010, 72% of physicians use smart phones personally and professionally, with that number expected to jump to 81% in 2012. "Astellas recognizes physicians are increasingly using smartphones and apps in the healthcare setting to access information,” said Robert C. Hendel, M.D., FACC, FAHA, FASNC, and chair of the Cardiac Radionuclide Imaging Writing Group that developed the 2009 AUC for RNI. "We partnered with them to develop this accurate, timely, assessment tool for use on smartphones and hope this app will promote awareness and use of the AUC for RNI published in 2009,” Dr. Hendel continued.
A preview and interactive demonstration of the app took place September 25, 2010, in conjunction with ASNC 2010: The 15th annual scientific session of the American Society of Nuclear Cardiology in Philadelphia, PA, USA.
Related Links:
Astellas Pharma US
Latest Imaging IT News
- New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
- Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
- AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process
- Artificial Intelligence (AI) Program Accurately Predicts Lung Cancer Risk from CT Images
- Image Management Platform Streamlines Treatment Plans
- AI-Based Technology for Ultrasound Image Analysis Receives FDA Approval
- AI Technology for Detecting Breast Cancer Receives CE Mark Approval
- Digital Pathology Software Improves Workflow Efficiency
- Patient-Centric Portal Facilitates Direct Imaging Access
- New Workstation Supports Customer-Driven Imaging Workflow
Channels
Radiography
view channel
AI Radiology Tool Identifies Life-Threatening Conditions in Milliseconds
Radiology is emerging as one of healthcare’s most pressing bottlenecks. By 2033, the U.S. could face a shortage of up to 42,000 radiologists, even as imaging volumes grow by 5% annually.... Read more
Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans
A new study published in the Journal of Bone and Mineral Research reveals that an automated machine learning program can predict the risk of cardiovascular events and falls or fractures by analyzing bone... Read more
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
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 moreMRI
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
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 more
New Incision-Free Technique Halts Growth of Debilitating Brain Lesions
Cerebral cavernous malformations (CCMs), also known as cavernomas, are abnormal clusters of blood vessels that can grow in the brain, spinal cord, or other parts of the body. While most cases remain asymptomatic,... Read moreNuclear Medicine
view channel
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 more
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... 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 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