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3/10/2022 12:08:49 PM | Browse: 295 | Download: 564
Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 68284
Country/Territory Italy
Received
2021-05-17 15:55
Peer-Review Started
2021-05-17 15:58
To Make the First Decision
Return for Revision
2021-07-16 12:29
Revised
2021-08-06 21:58
Second Decision
2022-02-11 05:52
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-02-13 17:12
Articles in Press
2022-02-13 17:12
Publication Fee Transferred
Edit the Manuscript by Language Editor
2022-02-05 06:08
Typeset the Manuscript
2022-03-02 23:45
Publish the Manuscript Online
2022-03-10 12:08
ISSN 1948-5204 (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: http://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Oncology
Manuscript Type Retrospective Study
Article Title Computed tomography-based radiomic to predict resectability in locally advanced pancreatic cancer treated with chemotherapy and radiotherapy
Manuscript Source Invited Manuscript
All Author List Gabriella Rossi, Luisa Altabella, Nicola Simoni, Giulio Benetti, Roberto Rossi, Martina Venezia, Salvatore Paiella, Giuseppe Malleo, Roberto Salvia, Stefania Guariglia, Claudio Bassi, Carlo Cavedon and Renzo Mazzarotto
ORCID
Author(s) ORCID Number
Gabriella Rossi http://orcid.org/0000-0002-3613-9229
Luisa Altabella http://orcid.org/0000-0002-4816-6945
Nicola Simoni http://orcid.org/0000-0003-4651-1757
Giulio Benetti http://orcid.org/0000-0002-7070-0083
Roberto Rossi http://orcid.org/0000-0002-8002-0495
Martina Venezia http://orcid.org/0000-0001-5431-6420
Salvatore Paiella http://orcid.org/0000-0001-6893-8618
Giuseppe Malleo http://orcid.org/0000-0001-5467-2628
Roberto Salvia http://orcid.org/0000-0002-3514-8473
Stefania Guariglia http://orcid.org/0000-0002-3161-5345
Claudio Bassi http://orcid.org/0000-0002-5416-329X
Carlo Cavedon http://orcid.org/0000-0001-7710-4607
Renzo Mazzarotto http://orcid.org/0000-0002-0122-1871
Funding Agency and Grant Number
Corresponding Author Nicola Simoni, MD, Doctor, Department of Radiation Oncology, University of Verona Hospital Trust, Piazzale Stefani 1, Verona 37126, Italy. nicolasimoni81@gmail.com
Key Words Computed tomography; Radiomics; Predictive model; Resectability; Locally advanced pancreatic cancer; Radiation oncology
Core Tip The present study proposes a computed tomography (CT)-based radiomics model to predict resectability in locally advanced pancreatic cancer (LAPC) treated with intensive chemotherapy followed by ablative radiation therapy. The model was built, tested, and validated in a homogeneous cohort of LAPC patients, using clinical data and radiomic features extracted from the simulation-CT, and showed a reliable performance to predict surgical resection. If further confirmed, the results of this study may allow integrating radiomic information into the pool of clinical and morphological parameters to consider when a LAPC patient is candidate for surgical exploration after neoadjuvant therapy.
Publish Date 2022-03-10 12:08
Citation Rossi G, Altabella L, Simoni N, Benetti G, Rossi R, Venezia M, Paiella S, Malleo G, Salvia R, Guariglia S, Bassi C, Cavedon C, Mazzarotto R. Computed tomography-based radiomic to predict resectability in locally advanced pancreatic cancer treated with chemotherapy and radiotherapy. World J Gastrointest Oncol 2022; 14(3): 703-715
URL https://www.wjgnet.com/1948-5204/full/v14/i3/703.htm
DOI https://dx.doi.org/10.4251/wjgo.v14.i3.703
Full Article (PDF) WJGO-14-703.pdf
Full Article (Word) WJGO-14-703.docx
Manuscript File 68284_Auto_Edited-JRF-Filipodia CL.docx
Answering Reviewers 68284-Answering reviewers.pdf
Audio Core Tip 68284-Audio core tip.m4a
Biostatistics Review Certificate 68284-Biostatistics statement.pdf
Conflict-of-Interest Disclosure Form 68284-Conflict-of-interest statement.pdf
Copyright License Agreement 68284-Copyright license agreement.pdf
Signed Informed Consent Form(s) or Document(s) 68284-Informed consent statement.pdf
Institutional Review Board Approval Form or Document 68284-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 68284-Language certificate.pdf
Peer-review Report 68284-Peer-review(s).pdf
Scientific Misconduct Check 68284-Bing-Fan JR-2.png
Scientific Editor Work List 68284-Scientific editor work list.pdf