Review for 10.1186/s12876-017-0700-z (2017)

Reviewer ’s report  
 
Title: A prediction model for the grade of liver fibrosis using magnetic resonance elastography  
 
Version: 0 Date: 05 Aug 2017  
 
Reviewer: Yesim Oztas  
 
Reviewer's report:  
 
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This is a nice study on developing a prediction model for liver fibrosis using clinical variables, 
including liver stiffness measurement performed by magnetic re sonance elastography, 
indocyanine green clearance rate  and platelet count.  
 
 
The study  included 184 patients (122 case and 62 control patients) that underwent liver 
resection.  
 
 
According to their  model they reported that liver fibrosis can be predicted acc urately and 
reproducibly.  
 
 
The language is fluent, tables and figures are comprehensive.  
 
 
References are sufficient.  
 
 
I suggest the manuscript to be  accepted  
 
 
 
 
 
 
 
 
Are the methods appropriate and well described?  
If not, please specify what is required in your comments to the authors.  
 
Yes 
 
Does the work include the necessary controls?  
If not, please specify which controls are required in your comments to the authors.  
 
Yes 
 
Are the conclusions drawn adequately supported by the data shown?  
If not, please explain in your comments to the authors.  
 
Yes 
 
Are you able to assess any statistics in the manuscript or would you recommend an  
additional statistical review?  
If an additional statistical review is recommended, please specify what aspects require further  
assessment in your comments to the editors.  
 
I am able to assess the statistics  
 
Quality of written English  
Please indicate the quality of language in the manuscript:  
 
Acceptable  
 
Declaration of competing interests  
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