Correlation between different measurement methods and parameters of intravoxel incoherent motion imaging and pathological characteristics of cervical cancer
10.3969/j.issn.1002-1671.2025.02.016
- VernacularTitle:体素内不相干运动成像不同测量方法和参数与宫颈癌病理学特征的相关性
- Author:
Tingting ZHOU
1
;
Xinhua BU
;
Ji ZHANG
;
Weizhong TIAN
Author Information
1. 南京医科大学附属泰州市人民医院医学影像科,江苏 泰州 225300
- Publication Type:Journal Article
- Keywords:
cervical cancer;
intravoxel incoherent motion imaging;
pathology
- From:
Journal of Practical Radiology
2025;41(2):251-253,279
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the correlation between diffusion weighted imaging(DWI)and intravoxel incoherent motion(IVIM)imaging parameter values in the marginal and central areas of cervical cancer tissue and the pathological characteristics of cervical cancer.Methods Forty-six patients with cervical cancer were selected and classified based on pathology results.Region of interest(ROI)were drawn in the marginal and central areas of each lesion on DWI and IVIM images respectively.And the statistical significance of each parameter of the lesion was compared and analyzed.Results The apparent diffusion coefficient(ADC)and D values measured in the marginal area between different groups were statistically significant than those in the central area(P＜0.05).The ADC and D values of cervical squamous cell carcinoma in the marginal area were lower than those of adenocarcinoma,the D value had the best discrimination ability.In distinguishing moderate and low differentiation of cervical squamous cell carcinoma,the D value of the marginal area had the best discriminative ability.In distinguishing high and low differentiation of cervical squamous cell carcinoma,the ADC and D values of the marginal area had equivalent discriminative ability.Conclusion The parameter values in the marginal area of cervical cancer lesions are statistically significant than those in the central area.Among the different pathological classifications of cervical cancer,the D value in the marginal area has better discrimination ability and can more truly reflect the pathological characteristics of cervical cancer.
