Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	49275
Country	China

Received	2019-05-22 00:28
Peer-Review Started	2019-05-23 11:09
To Make the First Decision	2019-07-31 23:59
Return for Revision	2019-08-28 07:23
Revised	2019-09-06 05:40
Second Decision	2019-09-12 10:24
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2019-09-13 23:49
Articles in Press	2019-09-13 23:49
Publication Fee Transferred
Edit the Manuscript by Language Editor	2019-09-24 09:10
Typeset the Manuscript	2019-10-31 05:42
Publish the Manuscript Online	2019-11-15 07:45

ISSN	1948-5204 (online)
Open Access	This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
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Category	Oncology
Manuscript Type	Retrospective Study
Article Title	Validation and head-to-head comparison of four models for predicting malignancy in intraductal papillary mucinous neoplasm of the pancreas: A study based on endoscopic ultrasound findings
Manuscript Source	Unsolicited Manuscript
All Author List	Jie Hua, Bo Zhang, Xiu-Jiang Yang, Yi-Yin Zhang, Miao-Yan Wei, Chen Liang, Qing-Cai Meng, Jiang Liu, Xian-Jun Yu, Jin Xu and Si Shi
ORCID	Author(s) ORCID Number Jie Hua http://orcid.org/0000-0002-0903-814X Bo Zhang http://orcid.org/0000-0002-2808-2242 Xiu-Jiang Yang http://orcid.org/0000-0002-8456-1491 Yi-Yin Zhang http://orcid.org/0000-0002-4887-2401 Miao-Yan Wei http://orcid.org/0000-0001-5079-517X Chen Liang http://orcid.org/0000-0003-1903-8888 Qing-Cai Meng http://orcid.org/0000-0001-5061-1473 Jiang Liu http://orcid.org/0000-0001-8089-5892 Xian-Jun Yu http://orcid.org/0000-0002-6697-7143 Jin Xu http://orcid.org/0000-0002-2942-8604 Si Shi http://orcid.org/0000-0002-6652-0629
Funding Agency and Grant Number	Funding Agency Grant Number China National Funds for Distinguished Young Scientists 81625016 National Natural Science Foundation of China 81772555 Science and Technology Commission of Shanghai Municipality 17YF1402500
Corresponding Author	Si Shi, MD, Attending Doctor, Surgeon, Surgical Oncologist, Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Shanghai 200032, China. shisi@fudanpci.org
Key Words	Intraductal papillary mucinous neoplasms; Prediction model; Endoscopic ultrasound; Mural nodules; Malignancy;
Core Tip	There are currently four available models for predicting the malignancy of intraductal papillary mucinous neoplasm (IPMN). Whether one model is superior to other models and whether it can be widely applied in clinical practice remains unknown. To address this knowledge gap, we performed a head-to-head comparison of the four models for predicting the probability of malignancy in IPMN patients. The results suggest that the model reported by the Pancreatic Surgery Consortium (PSC model) exhibited the best performance characteristics. Therefore, we believe that the PSC model should be considered the best tool for the individualized prediction of malignancy in patients with IPMN, which can facilitate clinical decision-making.
Publish Date	2019-11-15 07:45
Citation	Hua J, Zhang B, Yang XJ, Zhang YY, Wei MY, Liang C, Meng QC, Liu J, Yu XJ, Xu J, Shi S. Validation and head-to-head comparison of four models for predicting malignancy in intraductal papillary mucinous neoplasm of the pancreas: A study based on endoscopic ultrasound findings. World J Gastrointest Oncol 2019; 11(11): 1043-1053
URL	https://www.wjgnet.com/1948-5204/full/v11/i11/1043.htm
DOI	https://dx.doi.org/10.4251/wjgo.v11.i11.1043

Full Article (PDF)	WJGO-11-1043.pdf
Full Article (Word)	WJGO-11-1043.docx
Manuscript File	49275-Review_Edited.doc
Answering Reviewers	49275-Answering reviewers.pdf
Audio Core Tip	49275-Audio core tip.m4a
Biostatistics Review Certificate	49275-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form	49275-Conflict-of-interest statement.pdf
Copyright License Agreement	49275-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	49275-Grant application form(s).pdf
Signed Informed Consent Form(s) or Document(s)	49275-Informed consent statement.pdf
Institutional Review Board Approval Form or Document	49275-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate	49275-Language certificate.pdf
Supplementary Material	49275-Supplementary material.pdf
Peer-review Report	49275-Peer-review(s).pdf
Scientific Misconduct Check	49275-Scientific misconduct check.pdf
Scientific Editor Work List	49275-Scientific editor work list.pdf