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 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.”