Publication Name	World Journal of Clinical Cases
Manuscript ID	93752
Country	China

Received	2024-03-07 08:07
Peer-Review Started	2024-03-07 08:07
To Make the First Decision
Return for Revision	2024-04-17 09:46
Revised	2024-05-13 05:45
Second Decision	2024-06-03 02:44
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-06-03 09:56
Articles in Press	2024-06-03 09:56
Publication Fee Transferred	2024-06-09 10:49
Edit the Manuscript by Language Editor	2024-06-23 21:24
Typeset the Manuscript	2024-06-29 06:25
Publish the Manuscript Online	2024-07-02 08:41

ISSN	2307-8960 (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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Category	Surgery
Manuscript Type	Retrospective Study
Article Title	Efficacy and prognostic analysis of carbon nanotracers combined with the da Vinci robot in the treatment of esophageal cancer
Manuscript Source	Unsolicited Manuscript
All Author List	Fen-Qiang Qi and Yan Sun
ORCID	Author(s) ORCID Number Yan Sun http://orcid.org/0009-0008-5241-8632
Funding Agency and Grant Number	Funding Agency Grant Number Guangxi Health Department Scientific Research Program Z20200206 Project of Guangxi Liuzhou Science and Technology Bureau 2024YB0101B010
Corresponding Author	Yan Sun, Doctor, Instructor, Cardiothoracic Surgery, The Fourth Affiliated Hospital of Guangxi Medical University/Liuzhou Workers Hospital, No. 156, Heping Road, Liunan District, Liuzhou 545005, Guangxi Zhuang Autonomous Region, China. qifenqiang@163.com
Key Words	Nanocarbon tracer; Da Vinci robot; Minimally invasive esophagectomy; Esophageal cancer; Clinical efficacy; Prognostic
Core Tip	Traditional surgical visualization for esophageal cancer (EC) cannot clearly delineate tumor contours and metastases, which limits the accuracy of da Vinci robotic surgery. However, relatively few studies have investigated the effect of nanocarbon tracers combined with da Vinci robotic surgery. This study mainly clarified the therapeutic efficacy of the da Vinci robot system combined with the nanocarbon lymph node tracer in the treatment of patients with EC and confirmed its promising clinical applications.
Publish Date	2024-07-02 08:41
Citation	<p>Qi FQ, Sun Y. Efficacy and prognostic analysis of carbon nanotracers combined with the da Vinci robot in the treatment of esophageal cancer. <i>World J Clin Cases</i> 2024; 12(22): 4924-4931</p>
URL	https://www.wjgnet.com/2307-8960/full/v12/i22/4924.htm
DOI	https://dx.doi.org/10.12998/wjcc.v12.i22.4924

Full Article (PDF)	WJCC-12-4924-with-cover.pdf
Manuscript File	93752-Review-Filipodia.docx
Answering Reviewers	93752-answering-reviewers.pdf
Audio Core Tip	93752-audio.mp3
Biostatistics Review Certificate	93752-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form	93752-conflict-of-interest-statement.pdf
Copyright License Agreement	93752-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	93752-foundation-statement.pdf
Signed Informed Consent Form(s) or Document(s)	93752-informed-consent-statement.pdf
Institutional Review Board Approval Form or Document	93752-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate	93752-non-native-speakers.pdf
Peer-review Report	93752-peer-reviews.pdf
Scientific Misconduct Check	93752-scientific-misconduct-check.png
Scientific Editor Work List	93752-scientific-editor-work-list.pdf
CrossCheck Report	93752-crosscheck-report.pdf