Predictive value of infiltrating zone contrast-enhanced ultrasound gradient features in Nottingham grading and pathologically true infiltration of invasive ductal carcinoma
10.3760/cma.j.cn131148-20231020-00174
- VernacularTitle:浸润带超声造影梯度特征预测浸润性导管癌Nottingham分级及病理真实浸润的价值
- Author:
Rui DU
1
;
Weiwei SHU
;
Xincai WU
;
Xin ZHANG
;
Yuefeng LI
Author Information
1. 江苏大学附属医院超声医学科，镇江 212001
- Keywords:
Contrast-enhanced ultrasound;
Invasive ductal carcinoma;
Invasiveness;
Infiltrative zone;
Gradient features
- From:
Chinese Journal of Ultrasonography
2024;33(2):119-125
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the predictive value of infiltrating zone contrast-enhanced ultrasound(CEUS) gradient features in Nottingham grading and pathologically true infiltration of invasive ductal carcinoma(IDC).Methods:A retrospective analysis was performed on 78 female breast cancer patients (95 masses) confirmed by surgical and pathology in the Affiliated Hospital of Jiangsu University from July 2019 to June 2022, which were divided into Grade-Ⅰ (22 masses), Grade-Ⅱ (28 masses), and Grade-Ⅲ (45 masses) according to the Nottingham histological grading system. The differences in the maximum diameter of the infiltration zone and the characteristic parameters of the gradient of the inner and outer edges of the infiltration zone among the three groups of masses were compared, and the differential gradient features among them were analyzed by multivariate ordered Logistic regression and ROC curves. The relationship between the differential gradient characteristics of the infiltration zone and the pathologically true infiltration of the mass was further explored.Results:The univariate analysis showed statistically significant differences among the three groups for peak-arrival time gradient (ΔTTP), ascending branch slope gradient (ΔRS), peak intensity gradient (ΔPI) and area gradient under the curve (ΔAUC) (all P<0.05). Multiple ordered logistic regression analysis showed that ΔTTP, ΔPI and ΔAUC had independent influences on the histologic grading of IDC (all P<0.05), and the area under the curve for the combination of the three in predicting IDC histology grades Ⅰ, Ⅱ and Ⅲ was 0.692, 0.705 and 0.765, respectively. In addition, the maximum diameter of pathologically true infiltration of the mass was positively correlated with ΔTTP ( r=0.621, P<0.05) and negatively correlated with ΔPI ( r=-0.605, P<0.05) and ΔAUC ( r=-0.719, P<0.05). Conclusions:Infiltration zone CEUS gradient features are effective in predicting the histologic grade of IDC and strongly correlate with the degree of pathologically true infiltration of the mass.
