Next Article in Journal
Cold Atmospheric Plasma: A New Strategy Based Primarily on Oxidative Stress for Osteosarcoma Therapy
Next Article in Special Issue
Walk and Run Test in Patients with Degenerative Compression of the Cervical Spinal Cord
Previous Article in Journal
Quantification of Bacteria in Mouth-Rinsing Solution for the Diagnosis of Periodontal Disease
Previous Article in Special Issue
Frailty Is a Better Predictor than Age of Mortality and Perioperative Complications after Surgery for Degenerative Cervical Myelopathy: An Analysis of 41,369 Patients from the NSQIP Database 2010–2018
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JCM
Volume 10
Issue 4
10.3390/jcm10040892
Review Report
jcm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

Printed Edition

A printed edition of this Special Issue is available at MDPI Books....
share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
Article
Peer-Review Record

Spinal Cord Morphology in Degenerative Cervical Myelopathy Patients; Assessing Key Morphological Characteristics Using Machine Vision Tools

J. Clin. Med. 2021, 10(4), 892; https://doi.org/10.3390/jcm10040892
by Kalum Ost 1, W. Bradley Jacobs 2,3,†, Nathan Evaniew 3,4,†, Julien Cohen-Adad 5,6,7, David Anderson 8 and David W. Cadotte 1,3,4,8,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
J. Clin. Med. 2021, 10(4), 892; https://doi.org/10.3390/jcm10040892
Submission received: 30 January 2021 / Revised: 16 February 2021 / Accepted: 18 February 2021 / Published: 23 February 2021
(This article belongs to the Special Issue Management of Degenerative Cervical Myelopathy and Spinal Cord Injury)

Round 1

Reviewer 1 Report

The authors assessed key morphological characteristics using machine vision tools. Predicting the severity of DCM using image analysis is a very novel and interesting field. On the other hand, in this paper, the description is mainly in the research method on the analysis, and it is difficult for clinician to understand. In order for medical doctors to make use of this analysis in their daily clinical practice, they should be translated radiographical findings into language and summarized in the summary and in the beginning of discussions. The biggest problem of this study is that it was conducted in approximately 300 cases “diagnosed with DCM” in the specific region. Asymptomatic patients sometimes have severe stenosis, and the symptoms of myelopathy do not always correspond to imaging findings.1 This study looks the diagnosis and severity of DCM are subject to imaging, and the content of this research partly show the essence of DCM. Because spinal stenosis and myelopathy are distinct, it is necessary to carefully explain that the current study has seen a limited number of cases.

  1. Nakashima H, Yukawa Y, Suda K, Yamagata M, Ueta T, Kato F. Abnormal Findings on Magnetic Resonance Images of the Cervical Spines in 1,211 Asymptomatic Subjects. Spine. 2015;40(6):392-8.

Author Response

Please see the attachment

Author Response File: Author Response.docx

Reviewer 2 Report

I congratulate the authors for this validation attempt. Indeed Machine Learning is showing promising tools in several fields where categorization and severity prediction are needed. By testing these tools one can assess their reliability and/or need to improve.

Though, they should aim more after concluding this retrospective analysis and endeavor to propose improvements to the existent tools.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Back to TopTop