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Diagnostics
Volume 12
Issue 11
10.3390/diagnostics12112603
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Article
Peer-Review Record

An Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis

Diagnostics 2022, 12(11), 2603; https://doi.org/10.3390/diagnostics12112603
by Anri Patron 1,*, Leevi Annala 1, Olli Lainiala 2,3, Juha Paloneva 4,5 and Sami Äyrämö 1
Reviewer 1:
Samar Tharwat
Reviewer 2: Anonymous
Diagnostics 2022, 12(11), 2603; https://doi.org/10.3390/diagnostics12112603
Submission received: 5 October 2022 / Revised: 21 October 2022 / Accepted: 24 October 2022 / Published: 27 October 2022
(This article belongs to the Special Issue Artificial Neural Networks in Medical Diagnosis)

Round 1

Reviewer 1 Report

Reviewer comments

Title Automatic Method for Assessing Spiking of Tibial Tubercles Associated with Knee Osteoarthritis

The topic is interesting and well written and illustrated. However, some points need to be addressed

Line

Manuscript

Comment

72

In the present study, we conducted two experiments corresponding to 72

hypotheses A and B.

The last part of the introduction section usually includes the research gap and the aim of the study

It is not appropriate to write the summary of the study here

83

The present study utilizes data

It is better to write the materials and methods section in the past tense

 

Radiographic evaluation  

More details is needed about this point

126

 

It will be better if the author add a flow chart for the study

138

labelme 5.0.1 [? ].

Is this a missing reference

142

library [? ]

Is this a missing reference

 

 

The manuscript needs more details on tibial spiking as an early presentation of osteoarthritis and the studies covered this point

 

 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The authors of this work investigate tibial spiking as a characteristic of early knee osteoarthritis. They also created a deep learning-based model for identifying tibial spiking on plain radiographs.

The authors had described the methodology in a good manner but the details about the proposed deep learning based model for detecting tibial spiking from plain radiographs is not sufficient. Hence more detailed explanation is required about the proposed model. If it is sufficient, in the next submission, then only the paper can be considered for further procedures.

Graphical or tabular comparison of results obtained with other similar works in the literature is missing.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The manuscript has been improved 

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