The Value of 320-Slice Spiral Computed Tomography Perfusion Imaging in Staging and Long-Term Dynamic Evaluation of Breast Cancer

Author:

Geng Hequn1ORCID,Zhang Zhilin2,Zhang Xiaochen1,Liang Zhandong1,Li Yong1,Cui Shujun1

Affiliation:

1. Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000 Hebei, China

2. Department of Radiotherapy, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000 Hebei, China

Abstract

The value of 320-slice spiral computed tomography (CT) perfusion imaging in staging and long-term dynamic evaluation of breast cancer was explored. 120 breast cancer patients who underwent preoperative CT examination and were confirmed by surgery and pathology were selected. All patients underwent preoperative TNM staging of breast cancer, with 120 cases in each stage. According to the results of 320-slice spiral CT, the postoperative pathology and surgical methods were compared and analyzed. CT diagnosis of breast cancer showed that T1 sensitivity was 71% and accuracy was 61%, T2 sensitivity was 74% and accuracy was 64%, T3 sensitivity was 94% and the accuracy was 84%, and the T4 sensitivity was 100% and the accuracy was 91%. The sensitivity of N1 stage was 71%, and the accuracy was 61%; and the sensitivity of N2 ~ N3 stage was 81%, and the accuracy was 76%. There were 7 cases of M1 with distant metastasis, the sensitivity was 71%, and the accuracy was 71%. At T1 stage, blood flow (BF) was 39.2 ± 16.7  mL/min/100 g, blood volume (BV) was 2.66 ± 1.4  mL/100 g, mean transit time (MTT) was 8.16 ± 2.7  s, and permeability surface (PS) was 16.6 ± 9.7  mL/min/100 g. 320-slice spiral CT perfusion imaging technology provided a new diagnostic mode for everyone, which can quantitatively identify breast cancer with multiple parameters, which was of great significance for clinical auxiliary diagnosis.

Funder

2017 key project plan of medical science research in Hebei Province

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modeling and Simulation,General Medicine

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