Computed Tomography Urography: State of the Art and Beyond

Round 1

Reviewer 1 Report

Combining dual-energy CT technology analysis with artificial intelligence models can significantly improve radiological imaging with lower radiation exposure doses. All efforts should conduct to diminish radiation exposure during CT urography due to the increasing use of CT scans for almost any pathology a patient would present.  

Author Response

The authors thank the review for the comments.

 

We further improve the organization of the DECT section and the section of AI applications

 

Thank you

 

Best regards

 

The authors

Reviewer 2 Report

CTU is one of the cornerstone examinations of radiology. The authors provided a narrative review on the topic which resulted well-structured. However, some amendments are required before publication:

 

- Check typos

 

- Micro-ultrasound (MUS) is an imaging examination characterized by high real-time spatial resolution, recently introduced in the urological field. A recent article has been published on the topic and I believe it is worthy of consideration to include in your manuscript in order to provide guidance on future imaging prospects. Please include it (DOI: 10.3390/medicina58111624).

 

- please be consistent with abbreviations 

 

Author Response

The authors thank the reviewer for the suggestions

 

We carefully checked and homogenize the abbreviations

 

We also inserted the recommended reference at number 88

 

Thank you

 

Best regards

 

The authors

 

 

Reviewer 3 Report

The manuscript is well-written and comprehensively covers the recent advances in CTU in urological surgery. Here are few comments: 1. I think the introduction needs to be brief. It should focus on the current imaging techniques and the paper's aim. 2. More tables are needed. 3. Radiomics and deep learning in renal cancer need to be elaborated. 4. DECT paragraph can be shorter and more concise 5. There are headings 1, 2, 4, 5 and 6. There is no heading 3. 6. Headings 5 and 6 could be more concise. Please divide it into subheadings. Overall, the paper needs improvement in the conciseness and relevance of the review. A revision is needed before publication. Thanks.

 

Author Response

The authors thank the reviewer for the work and precious suggestions

 

We modified the text accordingly:

 

The manuscript is well-written and comprehensively covers the recent advances in CTU in urological surgery. Here are few comments: 1. I think the introduction needs to be brief. It should focus on the current imaging techniques and the paper's aim.

 

We reduce markedly the introduction, as suggested

 

2. More tables are needed.

 

We inserted new tables, as recommended

 

3. Radiomics and deep learning in renal cancer need to be elaborated.

 

We extensively revised the section and inserted new articles on the topic

 

4. DECT paragraph can be shorter and more concise

 

We revised the DECT section accordingly

5. There are headings 1, 2, 4, 5 and 6. There is no heading 3. 6. Headings 5 and 6 could be more concise. Please divide it into subheadings.

 

We organized all sections with subheading, as recommended

 

 

Overall, the paper needs improvement in the conciseness and relevance of the review. A revision is needed before publication. Thanks.

 

We reduce the text according to the suggestions

 

Best regards

 

The authors

Reviewer 4 Report

Thank you for submitting your work to our Journal.

Besides minor language issues, I suggest to further develop the paragraph on the limits of the technique.

Author Response

The authors thank the reviewer for the work and precious suggestions.

 

We revised the whole manuscript to check the language issues and added a final section on the limitation of the technique, as suggested

 

Thank you very much

 

Best regards

 

The authors