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1/12/2022 9:47:05 PM | Browse: 63 | Download: 245
Publication Name World Journal of Clinical Cases
Manuscript ID 71439
Country China
Category Oncology
Manuscript Type Meta-Analysis
Article Title Ultrasound elastography accuracy for predicting breast cancer response after neoadjuvant chemotherapy: A systematic review and meta-analysis
Manuscript Source Unsolicited Manuscript
All Author List Wei Chen, Li-Xiang Fang, Hai-Lan Chen and Jian-Hua Zheng
Funding Agency and Grant Number
Corresponding Author Jian-Hua Zheng, MD, Doctor, Department of Ultrasound, The Affiliated Hospital of Putian University, No. 999 Dongzhen East Road, Putian 351100, Fujian Province, China. zhengjh0328@sina.com
Key Words Breast cancer; Chemotherapy; Meta-analysis; Ultrasonography validation studies
Core Tip Several studies have reported the prognostic value of ultrasound elastography (UE) in patients receiving neoadjuvant chemotherapy (NACT) for breast cancer. However, the assessment of parameters differed in terms of measured elasticity parameter and mode of imaging. It is important, therefore, to assess the accuracy of both the modes of elastography. We assessed the accuracy of UE for predicting the pathologic complete response (pCR) in breast cancer patients following NACT. Strain-wave type of UE can accurately predict the pCR following NACT amongst breast cancer patients. Studies exploring its accuracy in different ethnic populations are required to strengthen the evidence.
Citation Chen W, Fang LX, Chen HL, Zheng JH. Ultrasound elastography accuracy for predicting breast cancer response after neoadjuvant chemotherapy: A systematic review and meta-analysis. World J Clin Cases 2022; 10(11): 3436-3448
Received
2021-09-12 08:20
Peer-Review Started
2021-09-12 08:22
To Make the First Decision
Return for Revision
2021-10-25 09:13
Revised
2021-11-09 09:38
Second Decision
2022-01-12 03:06
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-01-12 21:47
Articles in Press
2022-01-12 21:47
Publication Fee Transferred
Edit the Manuscript by Language Editor
2022-01-10 04:08
Typeset the Manuscript
2022-03-29 14:55
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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