Advanced Oncology Workflow and Toolset Offer Improved Reading and Reporting for Cancer Patients
By MedImaging International staff writers Posted on 11 May 2016 |
A medical imaging systems and Information Technology (IT) solutions provider has announced an upgrade to their enterprise image management system that offers clinicians a new oncology reading workflow.
The workflow includes new native tools for Positron Emission Tomography/Computed Tomography (PET/CT) studies, and provides quantitative and qualitative information to speed up and improve image reading.
The new Carestream Health (Rochester, NY, USA) CT Perfusion and Subtraction modules include interactive tools for analyzing and comparing 3-D, CT Perfusion (CTP), and Digital Subtraction Angiography (DSA) images. The modules provide tissue perfusion and tissue blood volume data from CT brain perfusion scans, and a DSA workflow that can analyze vessel blockages using X-ray angiography (XA) subtraction. PET segmentation enables users to examine tumor Standardized Uptake Values (SUV) traces on a PET image to help detect early stage cancers. The Vue Reporting module can present interactive hyperlinks to critical images, and can automatically include quantitative analysis results as tables and charts. Vue Reporting also offers bookmarks and lesion management reporting that can be shared using the Vue Motion universal viewer.
Ron Muscosky, worldwide clinical solutions product line manager, said, “The latest upgrade for our enterprise image management platform incorporates advanced tools to aid in tumor detection and tracking. This can help radiologists deliver more meaningful reports while also enhancing collaboration with clinicians and patients. Traditional oncology features cannot adequately address the increased demand we can expect for long-term monitoring of oncology patients as the world’s population ages. And the recent announcement of Medicare payments for CT lung cancer screening can be expected to boost imaging volumes for current and former smokers.”
Related Links:
Carestream Health
The workflow includes new native tools for Positron Emission Tomography/Computed Tomography (PET/CT) studies, and provides quantitative and qualitative information to speed up and improve image reading.
The new Carestream Health (Rochester, NY, USA) CT Perfusion and Subtraction modules include interactive tools for analyzing and comparing 3-D, CT Perfusion (CTP), and Digital Subtraction Angiography (DSA) images. The modules provide tissue perfusion and tissue blood volume data from CT brain perfusion scans, and a DSA workflow that can analyze vessel blockages using X-ray angiography (XA) subtraction. PET segmentation enables users to examine tumor Standardized Uptake Values (SUV) traces on a PET image to help detect early stage cancers. The Vue Reporting module can present interactive hyperlinks to critical images, and can automatically include quantitative analysis results as tables and charts. Vue Reporting also offers bookmarks and lesion management reporting that can be shared using the Vue Motion universal viewer.
Ron Muscosky, worldwide clinical solutions product line manager, said, “The latest upgrade for our enterprise image management platform incorporates advanced tools to aid in tumor detection and tracking. This can help radiologists deliver more meaningful reports while also enhancing collaboration with clinicians and patients. Traditional oncology features cannot adequately address the increased demand we can expect for long-term monitoring of oncology patients as the world’s population ages. And the recent announcement of Medicare payments for CT lung cancer screening can be expected to boost imaging volumes for current and former smokers.”
Related Links:
Carestream Health
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