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Articles Published Processes
1/21/2022 8:16:14 AM | Browse: 324 | Download: 783
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Received |
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2021-04-25 09:51 |
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Peer-Review Started |
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2021-04-25 09:54 |
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To Make the First Decision |
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Return for Revision |
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2021-06-14 18:29 |
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Revised |
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2021-07-04 10:09 |
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Second Decision |
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2021-12-01 03:22 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2021-12-02 01:53 |
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Articles in Press |
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2021-12-02 01:53 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2021-11-22 23:02 |
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Typeset the Manuscript |
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2022-01-18 04:34 |
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Publish the Manuscript Online |
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2022-01-21 08:16 |
| ISSN |
1948-5182 (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
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Radiology, Nuclear Medicine & Medical Imaging |
| Manuscript Type |
Retrospective Study |
| Article Title |
Can the computed tomography texture analysis of colorectal liver metastases predict the response to first-line cytotoxic chemotherapy?
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Etienne Rabe, Dania Cioni, Laura Baglietto, Marco Fornili, Michela Gabelloni and Emanuele Neri |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Not applicable |
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| Corresponding Author |
Etienne Rabe, MBChB, Academic Research, Academic Radiology, Master in Oncologic Imaging, Department of Translational Research, University of Pisa, Lungarno Antonio Pacinotti Street 43, Pisa 56126, Italy. etienne.rabe@gmail.com |
| Key Words |
Colorectal cancer; Liver metastases; Radiomics; Computed tomography texture analysis; Response assessment |
| Core Tip |
Radiomics is a rapidly growing field of radiological research which has the potential to assist with the diagnosis, prognostication and therapeutic response prediction of various cancers and may potentially play an important role in personalized patient care. This retrospective study aimed to identify potential new imaging biomarkers with computed tomography texture analysis which can predict the response to first-line cytotoxic chemotherapy in non-necrotic colorectal liver metastases. Eight first and second order texture features, but particularly minimum histogram gradient intensity and long run low grey level emphasis are significantly correlated with treatment response. These preliminary results need to be validated and confirmed on larger patient cohort studies. |
| Publish Date |
2022-01-21 08:16 |
| Citation |
Rabe E, Cioni D, Baglietto L, Fornili M, Gabelloni M, Neri E. Can the computed tomography texture analysis of colorectal liver metastases predict the response to first-line cytotoxic chemotherapy? World J Hepatol 2022; 14(1): 244-259 |
| URL |
https://www.wjgnet.com/1948-5182/full/v14/i1/244.htm |
| DOI |
https://dx.doi.org/10.4254/wjh.v14.i1.244 |
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