TY - JOUR
T1 - In vivo quantitative evaluation of brain tissue damage in multiple sclerosis using gradient echo plural contrast imaging technique
AU - Sati, Pascal
AU - Cross, Anne H.
AU - Luo, Jie
AU - Hildebolt, Charles F.
AU - Yablonskiy, Dmitriy A.
N1 - Funding Information:
The authors would like to thank Gayla Gregory R.N. for assistance with the patients, Kevin Cross and Cecile Sati for helping with data processing, Linda Hood and Richard Nagel for helping with MRI scanning, Dr. Adil Bashir for technical support with the pulse sequence, and the subjects with MS and healthy volunteers for their time. Dr. Cross was supported in part by the Manny and Rosalyn Rosenthal–Dr. John L. Trotter Chair in Neuroimmunology of the Barnes-Jewish Hospital Foundation . This publication was made possible by Grant number UL1 RR024992 from the National Center for Research Resources (NCRR) , a component of the National Institutes of Health (NIH).
PY - 2010/7
Y1 - 2010/7
N2 - Conventional MRI based on weighted spin-echo (SE) images aids in the diagnosis of multiple sclerosis (MS); however, MRI markers derived from SE sequences provide limited information about lesion severity and correlate poorly with patient disability assessed with clinical tests. In this study, we introduced a novel method [based on quantitative R2 (1/T2) histograms] for estimating the severity of brain tissue damage in MS lesions. We applied at 1.5. T an advanced, multi-gradient echo MRI technique [gradient echo plural contrast imaging (GEPCI)] to obtain images of the brains of healthy control subjects and subjects with MS. GEPCI is a simple yet robust technique allowing simultaneous acquisition of inherently co-registered quantitative T2 and FLAIR-like maps, along with T1-weighted images within a clinically acceptable time frame. Images obtained with GEPCI appear highly similar to standard scans; hence, they can be used in a reliable and conventional way for a clinical evaluation of the disease. Yet, the main advantage of GEPCI approach is its quantitative nature. Analysis of R2 histograms of white matter revealed a difference in the distribution between healthy subjects and subjects with MS. Based on this difference, we developed a new method for grading the severity of tissue damage [tissue damage score (TDS)] in MS lesions. This method also provides a tissue damage load (TDL) assessing both lesion load and lesion severity, and a mean tissue damage score (MTDS) estimating the average MS lesion damage. We found promising correlations between the results derived from this method and the standard measure of clinical disability.
AB - Conventional MRI based on weighted spin-echo (SE) images aids in the diagnosis of multiple sclerosis (MS); however, MRI markers derived from SE sequences provide limited information about lesion severity and correlate poorly with patient disability assessed with clinical tests. In this study, we introduced a novel method [based on quantitative R2 (1/T2) histograms] for estimating the severity of brain tissue damage in MS lesions. We applied at 1.5. T an advanced, multi-gradient echo MRI technique [gradient echo plural contrast imaging (GEPCI)] to obtain images of the brains of healthy control subjects and subjects with MS. GEPCI is a simple yet robust technique allowing simultaneous acquisition of inherently co-registered quantitative T2 and FLAIR-like maps, along with T1-weighted images within a clinically acceptable time frame. Images obtained with GEPCI appear highly similar to standard scans; hence, they can be used in a reliable and conventional way for a clinical evaluation of the disease. Yet, the main advantage of GEPCI approach is its quantitative nature. Analysis of R2 histograms of white matter revealed a difference in the distribution between healthy subjects and subjects with MS. Based on this difference, we developed a new method for grading the severity of tissue damage [tissue damage score (TDS)] in MS lesions. This method also provides a tissue damage load (TDL) assessing both lesion load and lesion severity, and a mean tissue damage score (MTDS) estimating the average MS lesion damage. We found promising correlations between the results derived from this method and the standard measure of clinical disability.
UR - http://www.scopus.com/inward/record.url?scp=77952429114&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2010.03.045
DO - 10.1016/j.neuroimage.2010.03.045
M3 - Article
C2 - 20338247
AN - SCOPUS:77952429114
SN - 1053-8119
VL - 51
SP - 1089
EP - 1097
JO - NeuroImage
JF - NeuroImage
IS - 3
ER -