Heterogeneity of Multiple Sclerosis Lesions in Multislice Myelin Water Imaging
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{"title"=>"Heterogeneity of multiple sclerosis lesions in multislice myelin water imaging", "type"=>"journal", "authors"=>[{"first_name"=>"Tobias Djamsched", "last_name"=>"Faizy", "scopus_author_id"=>"57087061300"}, {"first_name"=>"Christian", "last_name"=>"Thaler", "scopus_author_id"=>"57086301700"}, {"first_name"=>"Dushyant", "last_name"=>"Kumar", "scopus_author_id"=>"56314846500"}, {"first_name"=>"Jan", "last_name"=>"Sedlacik", "scopus_author_id"=>"8302879200"}, {"first_name"=>"Gabriel", "last_name"=>"Broocks", "scopus_author_id"=>"57188657164"}, {"first_name"=>"Malte", "last_name"=>"Grosser", "scopus_author_id"=>"57188657650"}, {"first_name"=>"Jan Patrick", "last_name"=>"Stellmann", "scopus_author_id"=>"22836985600"}, {"first_name"=>"Christoph", "last_name"=>"Heesen", "scopus_author_id"=>"7004865284"}, {"first_name"=>"Jens", "last_name"=>"Fiehler", "scopus_author_id"=>"6603941230"}, {"first_name"=>"Susanne", "last_name"=>"Siemonsen", "scopus_author_id"=>"24279164300"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0151496", "pui"=>"609296320", "scopus"=>"2-s2.0-84962106749", "issn"=>"19326203", "pmid"=>"26990645", "sgr"=>"84962106749"}, "id"=>"336bd4e3-9fe4-3b64-bac3-44c774ef9b71", "abstract"=>"PURPOSE To assess neuroprotection and remyelination in Multiple Sclerosis (MS), we applied a more robust myelin water imaging (MWI) processing technique, including spatial priors into image reconstruction, which allows for lower SNR, less averages and shorter acquisition times. We sought to evaluate this technique in MS-patients and healthy controls (HC). MATERIALS AND METHODS Seventeen MS-patients and 14 age-matched HCs received a 3T Magnetic Resonance Imaging (MRI) examination including MWI (8 slices, 12 minutes acquisition time), T2w and T1mprage pre and post gadolinium (GD) administration. Black holes (BH), contrast enhancing lesions (CEL) and T2 lesions were marked and registered to MWI. Additionally, regions of interest (ROI) were defined in the frontal, parietal and occipital normal appearing white matter (NAWM)/white matter (WM), the corticospinal tract (CST), the splenium (SCC) and genu (GCC) of the corpus callosum in patients and HCs. Mean values of myelin water fraction (MWF) were determined for each ROI. RESULTS Significant differences (p≤0.05) of the MWF were found in all three different MS-lesion types (BH, CEL, T2 lesions), compared to the WM of HCs. The mean MWF values among the different lesion types were significantly differing from each other. Comparing MS-patients vs. HCs, we found a significant (p≤0.05) difference of the MWF in all measured ROIs except of GCC and SCC. The mean reduction of MWF in the NAWM of MS-patients compared to HCs was 37%. No age, sex, disability score and disease duration dependency was found for the NAWM MWF. CONCLUSION MWF measures were in line with previous studies and lesions were clearly visible in MWI. MWI allows for quantitative assessment of NAWM and lesions in MS, which could be used as an additional sensitive imaging endpoint for larger MS studies. Measurements of the MWF also differ between patients and healthy controls.", "link"=>"http://www.mendeley.com/research/heterogeneity-multiple-sclerosis-lesions-multislice-myelin-water-imaging", "reader_count"=>23, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>2, "Student > Master"=>5, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>5, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>2, "Student > Master"=>5, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>4, "Unspecified"=>3, "Environmental Science"=>1, "Medicine and Dentistry"=>7, "Neuroscience"=>7, "Psychology"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>4}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Neuroscience"=>{"Neuroscience"=>7}, "Psychology"=>{"Psychology"=>1}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>1}}, "reader_count_by_country"=>{"United States"=>1, "Germany"=>2}, "group_count"=>1}

Scopus | Further Information

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  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}

Relative Metric

{"start_date"=>"2016-01-01T00:00:00Z", "end_date"=>"2016-12-31T00:00:00Z", "subject_areas"=>[]}
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Net::HTTPTooManyRequests

Source
Scopus
Time
2019-08-27 20:05:42 UTC
Target URL
https://api.elsevier.com/content/search/index:SCOPUS?query=DOI(10.1371%2Fjournal.pone.0151496)
Trace

/app/models/concerns/networkable.rb:21:in `get_result'
/app/models/source.rb:165:in `get_data'
/app/models/retrieval_status.rb:47:in `perform_get_data'
/app/jobs/source_job.rb:52:in `block (2 levels) in perform'
/app/jobs/source_job.rb:51:in `block in perform'
/app/jobs/source_job.rb:35:in `each'
/app/jobs/source_job.rb:35:in `perform'