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Articles Published Processes
7/11/2022 8:36:00 AM | Browse: 392 | Download: 1146
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Received |
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2022-04-06 10:01 |
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Peer-Review Started |
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2022-04-06 10:01 |
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To Make the First Decision |
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Return for Revision |
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2022-05-11 06:26 |
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Revised |
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2022-05-18 10:43 |
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Second Decision |
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2022-06-22 09:16 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-06-26 22:21 |
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Articles in Press |
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2022-06-26 22:21 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2022-07-04 06:48 |
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Publish the Manuscript Online |
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2022-07-11 08:36 |
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/ |
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 |
Neuroimaging |
Manuscript Type |
Retrospective Study |
Article Title |
Correlation of magnetic resonance imaging quantitative parameters and apparent diffusion coefficient value with pathological breast cancer
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Zhe Wang, Guan-Ying Ren, Qian Yin and Qian Wang |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Baoding Science and Technology Support Plan Project |
17ZF211 |
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Corresponding Author |
Guan-Ying Ren, MD, Attending Doctor, Department of Medical Oncology, Affiliated Hospital of Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, No. 648 Dongfeng Dong Lu, Baoding 071000, Hebei Province, China. renguanying1982@163.com |
Key Words |
Magnetic resonance; Apparent diffusion coefficient; Breast cancer; Immunohistochemistry; Prognosis |
Core Tip |
The high sensitivity and repeatability of magnetic resonance imaging make it more widely used in disease screening and treatment. Its advantages in soft tissue resolution and radiation make it more meaningful for lesions that cannot be clarified by clinical and ultrasound techniques in breast examination. Especially, diffusion weighted imaging has more advantages in cell structure and cell membrane integrity. |
Publish Date |
2022-07-11 08:36 |
Citation |
Wang Z, Ren GY, Yin Q, Wang Q. Correlation of magnetic resonance imaging quantitative parameters and apparent diffusion coefficient value with pathological breast cancer. World J Clin Cases 2022; 10(21): 7333-7340 |
URL |
https://www.wjgnet.com/2307-8960/full/v10/i21/7333.htm |
DOI |
https://dx.doi.org/10.12998/wjcc.v10.i21.7333 |
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