Oncology
The Most Powerful AI-powered Cloud-based PACS for Oncology
Key Features
Radiology plays a crucial role in oncology by supporting diagnosis, staging, treatment planning, and monitoring of cancer, ultimately improving patient outcomes.
PACSCloud equips radiologists and oncologists with powerful tools to deliver the highest standard of care for cancer patients through advanced imaging solutions.
Comprehensive Fusion Tools
AI-powered image fusion for PET-CT, SPECT-CT and PET-MR. Fusion manipulation and analysis to obtain quantitative analysis such as tumor volume, SUV and lesion sizes.
Automated Exam Comparison
AI-powered automated image comparison between current and prior exams to streamline the process of cancer staging and restaging.
Automated Multi-modality Comparison
AI-powered automated image comparison between different types scans that a patient may have, such as PET-CT, SPECT-CT, PET-MR, CT, mammogram, MR, etc.
AI-Powered 1-Click Workflow in the Cloud
One click does it all. Our AI and cloud technologies enhance accuracy, improve efficiency, and allow clinicians to work securely from anywhere.
Diagnostic Tools for All Modalities
Comprehensive and robust diagnostic tools for PET-CT, PET-MR, SPECT-CT, CT, MR, nuclear medicine, echocardiography, ultrasound, X-Ray, and more.
Customizable Worklist
Improve radiologists' and oncologists' efficiency with customizable work-lists tailored for each individual physician.
Seamless EMR and 3rd-party PACS Integration
Streamline workflows with HL7 and URL integration, enabling image viewing directly from patient charts in EMR.
Seamless integration with 3rd-part PACS to provide solutions for oncology, cardiology and molecular imaging.
Virtual Image Exchange (VIE)
Provide secure image exchange with external facilities, offer patient and provider portals for easy image downloading, uploading, and viewing with specialized fusion viewer and radiology viewer.
Vendor Neutral Archive (VNA)
Backed by Azure cloud's virtually unlimited storage capacity and bullet-proof security, our VNA provides scalable, secure, and true fidelity long term image archive for all modalities.
Special Challenges of PET-CT for PACS
PET-CT is widely recognized as the gold standard for cancer diagnosis, staging and restaging. However, its complexity poses unique challenges to conventional PACS. Conventional PACS are typically designed to display 2D grayscale images, one slice at a time. However, accurate interpretation of PET-CT images demands a much more advanced approach, including:
- 3D Volumetric Imaging: Images must be presented in three-dimensional volumetric views, allowing images to be extracted from any plane within the 3D volume on demand.
- Triangulation: The ability to triangulate between images from the three orthogonal planes is essential to accurately localize lesions.
- Real-Time Fusion: The system must be able to fuse metabolic PET images with corresponding anatomical CT images on the fly, enabling precise localization of lesions in the body.
- On-the-Fly Analysis: PET and CT images need to be analyzed in real time to assess the severity of cancer malignancy.
- Comparative Imaging: It’s crucial to be able to easily compare multiple prior and current exams to effectively monitor the progress of cancer treatment.
PACSCloud – The Superior PACS Solution for Diagnostic Imaging for Oncology
PACSCloud fulfills the above special requirements for PET-CT imaging with its state-of-the-art, AI-powered, cloud-based PACS technology. It provides the fusion functions only found in dedicated fusion workstations, and radiology diagnostic functions only found in radiology workstations. It allows physicians to work from anywhere on any computer, such as offices, exam rooms, or homes. Beyond meeting the needs of oncology, PACSCloud also provides advanced imaging solutions for general radiology, cardiology, and molecular imaging.
In comparison, most conventional PACS depend on screen captures of fused images to view PET-CT images, which is far from being adequate for accurate diagnosis. Some vendors may use third-party thick-client viewers as plugins, but such plugins only work in local network environments.