Literature DB >> 29745080

Multi-slice spiral CT evaluation of breast cancer chemotherapy and correlation between CT results and breast cancerspecific gene 1.

Jianlin Li1, Wei Gao, Benxia Yu, Fuzheng Wang, Liping Wang.   

Abstract

PURPOSE: To investigate multi-slice spiral CT (MSCT) imaging with breast cancer chemotherapy and the correlation between MSCT and breast cancer-specific gene 1 (BCSG1).
METHODS: 86 patients with breast cancer were enrolled from January 2016 to May 2017. All of them were treated with neoadjuvant chemotherapy, and underwent MSCT scan before and after treatment to evaluate the efficacy of chemotherapy. The expression of BCSG1 in tumor tissue was detected by immunohistochemistry and the correlation between CT results and BCSG1 was analyzed.
RESULTS: MSCT evaluation of the efficacy of chemotherapy in breast cancer patients was consistent with pathological evaluation (p<0.05). MSCT in patients after chemotherapy was significantly better than before chemotherapy (p<0.05). CT examination showed that tumor diameter and lymph node size were significantly reduced after chemotherapy (p<0.05). The positive rates of BCSG1 in patients with different TNM stages after chemotherapy were significantly decreased (p<0.05) and the CT perfusion value of BCSG1 in the low expression group was significantly higher than in the high expression group (p<0.05).
CONCLUSIONS: MSCT can accurately evaluate the effect of chemotherapy in breast cancer. The results of MSCT were closely related to the expression of BCSG1, which may provide a reference for predicting the effect of chemotherapy in breast cancer which could have important clinical significance.

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Year:  2018        PMID: 29745080

Source DB:  PubMed          Journal:  J BUON        ISSN: 1107-0625            Impact factor:   2.533


  2 in total

1.  The Application Value of ceMDCT in the Diagnosis of Gastric Cancer Extramural Vascular Invasion and Its Influencing Factors.

Authors:  Shifeng Yang; Xiaoming Zou; Jiacheng Li; Ange Zhang; Lei Zhu; Xiaolong Hu; Changjian Li
Journal:  J Healthc Eng       Date:  2022-01-07       Impact factor: 2.682

2.  Evaluation of a new method of calculating breast tumor volume based on automated breast ultrasound.

Authors:  Jing-Jing Ma; Shan Meng; Sha-Jie Dang; Jia-Zhong Wang; Quan Yuan; Qi Yang; Can-Xu Song
Journal:  Front Oncol       Date:  2022-09-13       Impact factor: 5.738

  2 in total

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