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