Correlation between dynamic contrast-enhanced MRI characteristics and apparent diffusion coefficient with Ki-67-positive expression in non-mass enhancement of breast cancer

被引:5
|
作者
Nie, Tingting [1 ]
Feng, Mengwei [1 ]
Yang, Kai [1 ]
Guo, Xiaofang [1 ]
Yuan, Zilong [1 ]
Zhang, Zhaoxi [1 ]
Yan, Gen [2 ]
机构
[1] Huazhong Univ Sci & Technol, Hubei Canc Hosp, Dept Radiol, Tongji Med Coll, 116 Zhuodaoquan South Load, Wuhan 430079, Hubei, Peoples R China
[2] Xiamen Med Coll, Dept Radiol, Affiliated Hosp 2, 566 Shengguang Rd, Xiamen 361000, Fujian, Peoples R China
来源
SCIENTIFIC REPORTS | 2023年 / 13卷 / 01期
关键词
KI-67; MARKER; CHEMOTHERAPY; SUBTYPES; LESIONS; TRIAL; INDEX;
D O I
10.1038/s41598-023-48445-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
As a remarkably specific characteristic of breast cancer observed on magnetic resonance imaging (MRI), the association between the NME type breast cancer and prognosis, including Ki-67, necessitates comprehensive exploration. To investigate the correlation between dynamic contrast-enhanced MRI (DCE-MRI) characteristics and apparent diffusion coefficient (ADC) values with Ki-67-positive expression in NME type breast cancer. A total of 63 NME type breast cancer patients were retrospectively reviewed. Malignancies were confirmed by surgical pathology. All patients underwent DCE and diffusion-weighted imaging (DWI) before surgery. DCE-MRI characteristics, including tumor distribution, internal enhancement pattern, axillary adenopathy, and time-intensity curve types were observed. ADC values and lesion sizes were also measured. The correlation between these features and Ki-67 expression were assessed using Chi-square test, Fisher's exact test, and Spearman rank analysis. The receiver operating characteristic curve and area under the curve (AUC) was used to evaluate the diagnostic performance of Ki-67-positive expression. Regional distribution, TIC type, and ipsilateral axillary lymph node enlargement were correlated with Ki-67-positive expression (chi(2)=0.397, 0.357, and 0.357, respectively; P<0.01). ADC value and lesion size were positively correlated with Ki-67-positive expression (r(s)=0.295, 0.392; P<0.05). The optimal threshold values for lesion size and ADC value to assess Ki-67 expression were determined to be 5.05 (AUC=0.759) cm and 0.403x10(-3) s/mm(2) (AUC=0.695), respectively. The best diagnosis performance was the ADC combined with lesion size (AUC=0.791). The ADC value, lesion size, regional distribution, and TIC type in NME type breast cancer were correlated with Ki-67-positive expression. These features will aid diagnosis and treatment of NME type breast cancer.
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页数:9
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