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Xie T, Jiang T, Zhao Q, Fu C, Nickel MD, Peng W, Gu Y. Model‐Free and Model‐based Parameters Derived From
CAIPIRINHA‐Dixon‐TWIST‐VIBE DCE‐MRI
: Associations With Prognostic Factors and Molecular Subtypes of Invasive Ductal Breast Cancer. J Magn Reson Imaging 2022. [DOI: 10.1002/jmri.28533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 11/03/2022] [Accepted: 11/05/2022] [Indexed: 11/27/2022] Open
Affiliation(s)
- Tianwen Xie
- Department of Radiology Fudan University Shanghai Cancer Center Shanghai People's Republic of China
- Department of Oncology, Shanghai Medical College Fudan University Shanghai People's Republic of China
| | - Tingting Jiang
- Department of Radiology Fudan University Shanghai Cancer Center Shanghai People's Republic of China
- Department of Oncology, Shanghai Medical College Fudan University Shanghai People's Republic of China
| | - Qiufeng Zhao
- Department of Radiology, Longhua Hospital Shanghai University of Traditional Chinese Medicine Shanghai People's Republic of China
| | - Caixia Fu
- MR Applications Development Siemens Shenzhen Magnetic Resonance Ltd. Shenzhen People's Republic of China
| | | | - Weijun Peng
- Department of Radiology Fudan University Shanghai Cancer Center Shanghai People's Republic of China
- Department of Oncology, Shanghai Medical College Fudan University Shanghai People's Republic of China
| | - Yajia Gu
- Department of Radiology Fudan University Shanghai Cancer Center Shanghai People's Republic of China
- Department of Oncology, Shanghai Medical College Fudan University Shanghai People's Republic of China
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Effect of Neoadjuvant Chemotherapy on Angiogenesis and Cell Proliferation of Breast Cancer Evaluated by Dynamic Enhanced Magnetic Resonance Imaging. BIOMED RESEARCH INTERNATIONAL 2022; 2022:3156093. [PMID: 35915805 PMCID: PMC9338867 DOI: 10.1155/2022/3156093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 05/19/2022] [Accepted: 06/18/2022] [Indexed: 11/17/2022]
Abstract
Background. Breast cancer is the uncontrolled proliferation of breast epithelial cells under the action of various carcinogenic factors. The evaluation of early efficacy of neoadjuvant chemotherapy for breast cancer is helpful to change the treatment plan in time. On this basis, dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) was used to evaluate the effects of neoadjuvant chemotherapy on angiogenesis and cell proliferation in breast cancer. Objective. To evaluate the effect of neoadjuvant chemotherapy on angiogenesis and cell proliferation of breast cancer by dynamic enhanced DCE-MRI. Method. 80 breast cancer patients were divided into the routine chemotherapy group (3 cycles) and neoadjuvant chemotherapy groups (3 cycles) of 40 cases each from January 2018 to June 2021. Based on conventional imaging, DCE-MRI was performed with Intera Achieva 3.0 TMR superconducting MR scanner before and after treatment. The quantitative indexes, MRI parameters, cell proliferation expression, and DCE-MRI angiogenesis were compared between the two groups. Result. The inhibition rate, Vepost, Ktranspre, ADC, Bax, Alexi, and Aurora in the neoadjuvant chemotherapy group were significantly higher than those in the conventional chemotherapy group (
), while Kep, Ktrans, and Nek2 were significantly lower than those in the conventional chemotherapy group (
). Vepre (cm3), Ktranspre (ml/min/100 cm3), and Ve had no significant difference (
). Conclusion. The quantitative parameters, MRI parameters, proliferation, and expression of DCE-MRI in breast cancer patients with different chemotherapy regimens are quite different. They can be applied to the diagnosis of neoadjuvant chemotherapy in breast cancer patients with angiogenesis and cell proliferation.
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Magnetic Resonance Imaging (MRI) and MR Spectroscopic Methods in Understanding Breast Cancer Biology and Metabolism. Metabolites 2022; 12:metabo12040295. [PMID: 35448482 PMCID: PMC9030399 DOI: 10.3390/metabo12040295] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 03/22/2022] [Accepted: 03/23/2022] [Indexed: 02/01/2023] Open
Abstract
A common malignancy that affects women is breast cancer. It is the second leading cause of cancer-related death among women. Metabolic reprogramming occurs during cancer growth, invasion, and metastases. Functional magnetic resonance (MR) methods comprising an array of techniques have shown potential for illustrating physiological and molecular processes changes before anatomical manifestations on conventional MR imaging. Among these, in vivo proton (1H) MR spectroscopy (MRS) is widely used for differentiating breast malignancy from benign diseases by measuring elevated choline-containing compounds. Further, the use of hyperpolarized 13C and 31P MRS enhanced the understanding of glucose and phospholipid metabolism. The metabolic profiling of an array of biological specimens (intact tissues, tissue extracts, and various biofluids such as blood, urine, nipple aspirates, and fine needle aspirates) can also be investigated through in vitro high-resolution NMR spectroscopy and high-resolution magic angle spectroscopy (HRMAS). Such studies can provide information on more metabolites than what is seen by in vivo MRS, thus providing a deeper insight into cancer biology and metabolism. The analysis of a large number of NMR spectral data sets through multivariate statistical methods classified the tumor sub-types. It showed enormous potential in the development of new therapeutic approaches. Recently, multiparametric MRI approaches were found to be helpful in elucidating the pathophysiology of cancer by quantifying structural, vasculature, diffusion, perfusion, and metabolic abnormalities in vivo. This review focuses on the applications of NMR, MRS, and MRI methods in understanding breast cancer biology and in the diagnosis and therapeutic monitoring of breast cancer.
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