Presentation on theme: "CaBIG In Vivo Imaging Workspace Software for Image Based Cancer Research Fred Prior, Ph.D. Mallinckrodt Institute of Radiology Washington University School."— Presentation transcript:
CaBIG In Vivo Imaging Workspace Software for Image Based Cancer Research Fred Prior, Ph.D. Mallinckrodt Institute of Radiology Washington University School of Medicine
2 Example: Multi-Center Clinical Trial The Silent Infarct Transfusion Trial (SITT) is a multi-center clinical trial to determine the efficacy of blood transfusion therapy as a treatment for preventing silent strokes in children with sickle cell disease. Silent strokes strokes that do not cause immediately obvious symptoms frequently go unrecognized and are one of the most serious afflictions associated with sickle cell disease. Sickle cell disease, an inherited disorder of the red blood cells, is the most common genetic disorder in African-Americans. The disease affects one in 400 African-American infants and 22 percent of these children will suffer a silent stroke before they finish high school.
What is a Silent Infarct? T2 Flair image
Imaging Protocol For this project we defined an MR imaging protocol that provided all the information needed for the complete clinical management of these patients and which supported the specific aims of the projectMR imaging protocol BUT, this protocol was not adequate for volumetric measurements and some sites could not reliably complete the protocol Imaging protocols need to be standardized and they have a complex relationship with image QA and analysis procedures and software NCI and ACR have an activity to define standard protocols for cancer research - UPICTS This activity needs to be coordinated with our activity to define and develop analysis tools
Internet WU Network Cisco VPN Image Collection/QA Station Stentor Image Server Firewall Clinical Studies Workstation Laptop MRI Scanner or PACS Imaging Site Imaging Center Transmitting MRI Images: Study Sites Imaging Center
Tools for Pseudonymization CSW MIRC for clinical trials ACRIN Undoubtedly many others We need a harmonized tool set that takes the best features of all of the above and enables them over the grid.
Internet WU Network Cisco VPN Firewall Radiologist Imaging Center Consensus Reading: Neuroradiology Panel iSite/Radiology query retrieve iSite Server
Lesion Detection In this study three neuroradiologists read each case independently and report their results Imaging center staff review the report forms and if there is agreement progress the case to the next step of the trial (or report that the subject is not eligible) If there is not agreement a consensus conference call is held where all radiologists review the case together and reach consensus Automated lesion detection can be a very difficult process CAD tools obviously exist but need to be optimized to detect cancerous lesions
Measurement Tool Variability Commercially available measurement tools (PACS and other workstations, image analysis packages, …) vary in the algorithms used, the accuracy that is possible and the repeatability of measurements The same measurement taken on the same data can yield quite variable results across systems We need measurement tools and procedures with known accuracy, precision and repeatability
Volumetric Measurements of Image Features We have proposed an ancillary study to segment identified lesions, determine their volume and track volume changes Imaging protocol limits our ability to do this Key software issues include: segmentation algorithms Measurement tools A critical problem facing the pharmaceutical industry is how to establish standard measurements of biomarkers, i.e. standardized, repeatable measurement techniques that can be applied to specific image features Some industry experts have suggested that the cost of clinical trials can be reduced by 10s of millions of dollars by the establishment of FDA accepted, industry standard measurements and measurement techniques
Image Libraries Information is frequently divided between the imaging core and data management core Critical meta-data is separated from the images A common data representation (XML), federation approach and query model such as that used by MIRC is a possible first step to permit shared access Beyond that we need data mining tools that work across the grid: Indexing tools that employ distance measures that are appropriate for this application (not Googles measure) Machine intelligence algorithms to search for correlations
The Start of a Discussion,…
MRI Imaging Protocol 1) Scout Localizer (3 planes) 2) Fast/ /Turbo FLAIR T2-weighted Axial and Coronal Basic diagnostic scan (must cover the whole brain) 3) T1-weighted Acquisition For segmentation and volumetric studies 4) Fast/Turbo Spin Echo T2-weighted Axial Acquisition Detailed diagnostic scan (must cover the whole brain) 5) Echo-Planar Axial Diffusion Acquisition For ancillary DTI studies (Repeated 2 times without signal averaging) 6) 3D Time-of-Flight Magnetic Resonance Angiography Protocol Options for Symptomatic Patients: 1) 2D Time-of-Flight Magnetic Resonance Venography 2) T2* (susceptibility) weighted Axial Acquisition On average this results in about 600 images per study
Volumetric Measurements of Image Features Multi-center clinical trials increasingly use image based measurements to determine end-points and progression and are essentially large scale teleradiology applications A critical problem facing the pharmaceutical industry is how to establish standard measurements of biomarkers, i.e. standardized, repeatable measurement techniques that can be applied to specific image features Some industry experts have suggested that the cost of clinical trials can be reduced by 10s of millions of dollars by the establishment of FDA accepted, industry standard measurements and measurement techniques