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A New Traumatic Axonal Injury Classification Scheme based on Clinical and Improved MR Imaging Biomarkers


Traumatic injuries to the head can cause differing degrees of damage to the brain, ranging from none to mild, moderate or severe traumatic brain injury (TBI). The management of patients with TBI depends on the severity of the injury and the primary imaging modality is still CT in the acute phase. But today we know that CT may only show the "tip of the iceberg" of the actual injuries to the brain, and in some instances the scan miss injuries altogether. In particular, traumatic axonal injury (TAI) is difficult to detect by CT. In the last decade, different MRI techniques therefore have been increasingly used. MRI can detect visible TAI lesions, but also other more subtle brain injuries, with a much higher sensitivity than that observed for CT. In TAI-MRI, we aim to develop a classification system that can better describe severity of TAI and predict the outcome of injuries. The current classification system is based on neuropathological studies from 1980s and has been extrapolated to classify also injuries on MRI in surviving patients. This classification system has shown limitation in reflecting the actual burden of axonal injuries. A classification system that better reflects the distribution of axonal injuries and that also takes into account the prognostic significance of the different TAI lesions would help both doctors and health care professionals as well as patients and their families to understand the effects of brain injury and also what prognosis can be expected during the first year. To develop such an important and reliable classification system, researchers from four different countries will collaborate and data from three different studies including almost 1400 patients will be included and analyzed. MRI methods have been continuously developed during the last couple of decades, and new promising technological advances enable us to analyze MRI data in a more automated way. The results of this project should improve the care of patients with TBI.

Project leader: Anne Vik

Started: 2017

Ends: 2021

Category: Universiteter

Sector: UoH-sektor

Budget: 4236000

Institution: Institutt for nevromedisin og bevegelsesvitenskap

Address: Trondheim