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 [PMID: 36158015 DOI: 10.12998/wjcc.v10.i21.7333]
Corresponding Author of This Article
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
Research Domain of This Article
Neuroimaging
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
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/
World J Clin Cases. Jul 26, 2022; 10(21): 7333-7340 Published online Jul 26, 2022. doi: 10.12998/wjcc.v10.i21.7333
Correlation of magnetic resonance imaging quantitative parameters and apparent diffusion coefficient value with pathological breast cancer
Zhe Wang, Guan-Ying Ren, Qian Yin, Qian Wang
Zhe Wang, Qian Yin, Qian Wang, Department of Medical Imaging, The No. 2 Hospital of Baoding, Baoding 071051, Hebei Province, China
Guan-Ying Ren, Department of Medical Oncology, Affiliated Hospital of Hebei University, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Baoding 071000, Hebei Province, China
Author contributions: Wang Z and Ren GY contributed equally to this study, and should be considered as co-first authors; Wang Z and Ren GY design the experiment; Wang Z drafted the manuscript; Wang Z, Ren GY, Yin Q, and Wang Q collected the data; Yin Q and Wang Q analysed and interpreted data; Wang Z and Ren GY revised the manuscript.
Supported byBaoding Science and Technology Support Plan Project, No. 17ZF211.
Institutional review board statement: The study was reviewed and approved by The No. 2 Hospital of Baoding Institutional Review Board.
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: The authors have no conflict of interests.
Data sharing statement: No additional data are available.
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/
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
Received: April 6, 2022 Peer-review started: April 6, 2022 First decision: May 11, 2022 Revised: May 18, 2022 Accepted: June 26, 2022 Article in press: June 26, 2022 Published online: July 26, 2022 Processing time: 95 Days and 22.6 Hours
ARTICLE HIGHLIGHTS
Research background
It has been reported that the 5-year survival rate of patients with breast cancer in stage I is 100% but is only 20% in stage IV; with the evolution of the disease, the total survival period gradually decreases.
Research motivation
This study analyzed the magnetic resonance imaging (MRI) quantitative parameters and apparent diffusion coefficient (ADC) values of patients with different estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER-2) expression.
Research objectives
This study aimed to investigate the relationship between quantitative MRI parameters.
Research methods
A total of 108 patients with breast cancer and 110 patients with benign breast tumors confirmed by pathological examination were selected. All patients had undergone preoperative MRI examinations, and the MRI quantitative parameters and ADC values of patients with different ER, PR, and HER-2 expression were statistically analyzed.
Research results
The measured values of the quantitative parameters of MRI- Ktrans, Kep, and Ve in the breast cancer group were higher than those in the benign group.
Research conclusions
MRI quantitative parameters and ADC are related to the expression of breast.
Research perspectives
This study explored the relationship between MRI quantitative parameters and ADC values of different prognostic factors in patients with breast cancer and benign breast tumors confirmed by pathological examination to provide clinical value for evaluating postoperative recurrence.
