XNAT pipelines are the perfect tool for generating high resolution connectomes – detailed maps of brain networks in individual patients.
Dan Marcus, President, Radiologics
The Translational and Molecular Imaging Institute at Mount Sinai School of Medicine is developing new neuroimaging methods to diagnose and guide treatment in a range of psychiatric disorders. XNAT serves as the central analytic engine for all patient scans collected at the Institute.
Radiologics worked with Dr. Gordon Xu, assistant professor of radiology at Mount Sinai. XNAT pipelines are used to process incoming scans, including anatomic images, resting state fMRI, and diffusion tensor imaging.
Mt Sinai has been particularly impressed with XNAT integration with the Institute’s scanners. With XNAT’s DICOM workflow, transferring data from scanners is as simple as sending to a PACS but with the benefit of user access control, web-based access, and advanced imaging analytics.
At Mount Sinai, XNAT imaging analytics are driving psychiatric research.
“XNAT CR passed industry audits with flying colors.”
Tammie Benzinger, MD, PhD, Director of Imaging, DIAN Trials Unit @ Washington University School of Medicine
The Dominantly Inherited Alzheimer Network (DIAN) clinical trials unit is running phase II/III trials of drugs developed by Eli Lilly and Roche to assess their efficacy in treating early onset Alzheimer’ disease, using imaging endpoints.
DIAN imaging data is collected at clinical sites around the world – in North America, Australia, Europe and soon in Asia and South America – and uploaded to XNAT CR using the built-in web-based upload tool. This imaging data is then routed to quality control reviewers at sites around the country. Radiologics worked with Dr. Tammie Benzinger, DIAN Imaging Core Leader, to customize XNAT CR data types, workflows, pipelines and reports for the DIAN TU protocol.
“XNAT CR’s 21 CFR Part 11 compliance, along with its customizability, were key factors in selecting a data management system for the DIAN trials,” says Dr. Benzinger.
XNAT CR manages the full imaging workflow from acquisition to quality control to image processing and analysis. Dr. Benzinger reports, “XNAT’s workflow and notification system ensures that data are quickly uploaded, reviewed, and processed seamlessly.”
“XNAT improves the quality and quantify of imaging at the CNRM”
Dzung Pham, Senior Scientist @ The Henry M. Jackson Foundation for the Advancement of Military
XNAT helps the CNRM find treatments for PTSD and TBI in our nation’s vets
The Center for Neuroscience and Regenerative Medicine (CNRM) is a federal program jointly sponsored by the National Institutes of Health and Department of Defense and managed by the Henry M. Jackson Foundation for the Advancement of Military Medicine.
The purpose of CNRM research is to develop diagnostics, biomarkers, and treatments for traumatic brain injury, post-traumatic stress disorder, and other conditions that affect our nation’s military personnel and veterans. The CNRM has deployed XNAT CR to track and process all of the imaging collected in the Center’s various studies.
Radiologics worked with Dr. Dzung Pham, director of the Image Processing Core for CRNM, to set up XNAT CR and develop custom data types and reports.
Says Dr. Dzung, “XNAT allows us to quickly review our data and to deliver it to our wide range of research and clinical stakeholders.”
“XNAT is at the center of all of our work.”
David Cash, PhD, Senior Research Associate at Dementia Research Centre, Institute of Neurology, University College London
The Dementia Research Center (DRC) at University College London is undertaking a wide range of research studies, clinical trials, data sharing programs, and software development projects.
“XNAT is at the center of all of work, whether it’s the MIRIAD program to publicly share Alzheimer’s disease imaging data or the Genetics Frontotemporal Dementia Initiative (GENFI) clinical trials”, says Dr. Cash.
The MIRIAD Database contains a total of 708 longitudinal MRI scans of 46 Alzheimers sufferers and 23 healthy elderly controls. Many scans were collected of each participant at intervals from 2 weeks to 2 years, the study was designed to investigate the feasibility of using MRI as an outcome measure for clinical trials of Alzheimer’s treatments.
Radiologics consulted on support for storing this longitudinal data, and on the technical setup for hosting a publicly shared dataset.
The GENFI project is a clinical trial study studying genetically-inherited Frontotemporal Dementia (FTD). The study is actively collecting data from 24 sites in 10 countries in Europe and North America.
Radiologics worked with the DRC to build a suite of case report forms to capture clinical and behavioral assessments in XNAT. According to Dr. Cash, these custom extensions have simplified his group’s program: “XNAT CR serves as a single source for capturing and analyzing all data collected in GENFI. We don’t need to validate and operate separate systems for imaging and clinical data.”