Next Article in Journal
Functional Investigation of the Tumoural Heterogeneity of Intrahepatic Cholangiocarcinoma by In Vivo PET-CT Navigation: A Proof-of-Concept Study
Next Article in Special Issue
Artificial Intelligence in the Diagnosis of Hepatocellular Carcinoma: A Systematic Review
Previous Article in Journal
Multimorbidity and Frailty Are the Key Characteristics of Patients Hospitalized with COVID-19 Breakthrough Infection during Delta Variant Predominance in Italy: A Retrospective Study
Previous Article in Special Issue
Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography
 
 
Article
Peer-Review Record

Detection of Lumbar Spondylolisthesis from X-ray Images Using Deep Learning Network

J. Clin. Med. 2022, 11(18), 5450; https://doi.org/10.3390/jcm11185450
by Giam Minh Trinh 1,2,3, Hao-Chiang Shao 4, Kevin Li-Chun Hsieh 5,6,7, Ching-Yu Lee 8,9, Hsiao-Wei Liu 10, Chen-Wei Lai 10, Sen-Yi Chou 10, Pei-I Tsai 11, Kuan-Jen Chen 11, Fang-Chieh Chang 11, Meng-Huang Wu 8,9,12,*,† and Tsung-Jen Huang 8,9,*,†
Reviewer 1:
Reviewer 2: Anonymous
J. Clin. Med. 2022, 11(18), 5450; https://doi.org/10.3390/jcm11185450
Submission received: 8 August 2022 / Revised: 2 September 2022 / Accepted: 7 September 2022 / Published: 16 September 2022
(This article belongs to the Special Issue Artificial Intelligence in Radiology: Present and Future Perspectives)

Round 1

Reviewer 1 Report

Degenerative spondylolisthesis more than the image diagnosis is clinical condition affecting the quality of life of our patients in many cases specially in aging  society, however the only radiological finding  does not guarantee the clinical finding.

In my opinion it would have been more interesting any relationship with the patient clinical status.

Author Response

Dear Sir/ Madam,

Thank you very much for your comments and suggestions in our study.

May we give you the revised manuscript and responses to your comments? The deleted parts were all highlighted with Red color and the rewritten parts were all highlighted with Blue color in the text. Could you please see the attachment?

Thank you very much for your consideration.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments on Detection of Lumbar Spondylolisthesis From X-Ray Images

Using Deep Learning Network

Congratulations tot he authors on establishing this neural-network-based spondylolisthesis detection and classification application, the material & methods section as well as the results section are well written, all the other sections need revision – find my comments below. Altogether this study is an interesting approach, nevertheless the accuracy – considering it is a rather simple task to identify spondylolisthesis – is not sufficient, furthermore in my humble opinion this application is not necessarily useful for clinical purposes but rather for research purposes, which the athors may consider in their discussion.  Overall I believe that the manuscript can be considered after major revisions.

P1, line1-3 rephrase

P1, line 4 „more prevalent in …“ than what? – compared tot he rest of the population

General comment regarding the abstract: by what means are you addressing the problem of increasing prevalence of deg. Spondylolisthesis via a software to detect it? – the abstract as a whole needs tob e rewritten and aims and goals need tob e clarified.Results?

P2, line 22ff rephrase, also 24ff is somewhat incoherent and seems misplaced

P2, line 30ff Differentiate between spondylolisthesis vera and pseudospondylolisthesis!

P2, line38 not true

Figure 1 use xray not 6 squares to give an example – if needed at all

Include section 2 into the introduction – „related works“ is inadequate, neither should it be named lit. Review or whatsover bc it’s rather superficial

P5, line 171 rephrase

P5, line 177 typo

P12 line 308ff Set up a table or rephrase to give the reader a better overview

P12, line 337 It’s not clinical it’s radiological spondyloslisthesis you’re detecting

P13, line 362ff rephrase – not readable

Regarding conlusion – please rephrase the whle paragraph

Author Response

Dear Sir/ Madam,

Thank you very much for your comments and suggestions in our study.

May we give you the revised manuscript and responses to your comments? The deleted parts were all highlighted with Red color and the rewritten parts were all highlighted with Blue color in the text. Could you please see the attachment?

Thank you very much for your consideration.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

“and was proposed as a more accurate method to identify spondylolisthesis.” Rephrase, please consider having a native speaker look through the manuscript.

P2, line 56ff – if you refer to studies, cite them!

P3, line 83ff – if you think this sentence through, you may find that there is not much sense to it  - if you operate with the indication “spondylolisthesis”, you should have detected anyway?!

P3, line 94 to reduce the mistake for physicians and give the 94 better treatment solutions for patients Please simply delete this 

P16, line 497ff rephrase, see above

P17, line 520 rephrase see above

Regarding your answer on the vera/falsa topic – I am well aware of which is which- very interesting summary though… nevertheless if you are trying to establish a model for spondylolisthesis diagnosis, you at least have to mention this aspect in your introduction!!!

The manuscript has been improved, nevertheless there are still some pitfalls, the use of the English language is partly still inadequate. Altogether I’d recommend another round of major revisions

Author Response

Dear Sir/ Madam,

Thank you very much for your comments and suggestions on the second round of peer review.

May we give you the revised manuscript and responses to your comments? The deleted parts were all highlighted with Red color and the rewritten parts were all highlighted with Blue color in the text. Could you please see the attachment?

Thank you very much for your consideration.

Best regards,

Meng-Huang Wu, M.D, Ph.D

Author Response File: Author Response.docx

Round 3

Reviewer 2 Report

After the 3rd round of review the quality of this manuscript has been improved significantly and my comments were adressed adequately. Congratulations on this study.

Back to TopTop