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Article
Peer-Review Record

CT-Angiography-Based Outcome Prediction on Diabetic Foot Ulcer Patients: A Statistical Learning Approach

Diagnostics 2022, 12(5), 1076; https://doi.org/10.3390/diagnostics12051076
by Di Zhang 1, Wei Dong 2, Haonan Guan 1, Aobuliaximu Yakupu 1, Hanqi Wang 3, Liuping Chen 3, Shuliang Lu 1,* and Jiajun Tang 1,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Diagnostics 2022, 12(5), 1076; https://doi.org/10.3390/diagnostics12051076
Submission received: 13 March 2022 / Revised: 16 April 2022 / Accepted: 24 April 2022 / Published: 25 April 2022
(This article belongs to the Special Issue Artificial Intelligence in Clinical Medical Imaging Analysis)

Round 1

Reviewer 1 Report

The topic of the presented manuscript is important, relevant, and original. This is a well written manuscript but some issues could be improved. 

  • Introduction seems enough but could achieve a deeper knowledge about state of art. 

  • The research hypothesis are not described
  • Where and how were the subjects recruited? Please, explain it with more detail
  • The complete chronology is missing.

  • Statistical analysis and results are clear enough. 

  • Discussion section seems confused, needs to be rewritten in some paragraphs

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Please include CT angiography images to explain how the ten segments are included in 4 degrees.

For this reviewer is not clear how the MLP considers the segment of lower-extremity arterial stenosis?,

the arterial calcification grade is related to the 4 degrees as the authors mentioned, this grade was given by two experienced radiologists, my question is if this value is given by a radiologist or it can be terminated by another technique?. This is because if a radiologist needs to analyze the images he/she can give a prediction

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

thank you for your answers

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