3.0T dynamic contrast enhanced magnetic resonance imaging: volume transfer constant of normal cervix and cervical cancer

HE Shuai; YU Tao; LUO Yahong

您当前的位置：

首页 >

文章列表页 >

3.0T dynamic contrast enhanced magnetic resonance imaging: volume transfer constant of normal cervix and cervical cancer

更新时间：2025-12-15

- 3.0T dynamic contrast enhanced magnetic resonance imaging: volume transfer constant of normal cervix and cervical cancer
- Vol. 24, Issue 1, Pages: 21-24(2015)
- 作者机构：
  
  1. 大连医科大学研究生院,辽宁,大连,116044
  2. 辽宁省肿瘤医院医学影像科,辽宁,沈阳,110042
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：27 August 2015，
  
  Published：27 August 2015
- 稿件说明：
移动端阅览
贺帅,于韬,罗娅红. 利用3.0T磁共振动态增强检查中容积转运常数区分正常宫颈与宫颈癌组织的探讨[J]. 肿瘤影像学, 2015, 24(1): 21-24
DOI：

贺帅,于韬,罗娅红. 利用3.0T磁共振动态增强检查中容积转运常数区分正常宫颈与宫颈癌组织的探讨[J]. 肿瘤影像学, 2015, 24(1): 21-24 DOI：

摘要

目的：

探讨磁共振动态增强检查(DCE-MRI)中容积转运常数(Ktrans)值是否能有效定量区分正常宫颈与宫颈癌组织。

方法：

对经活检或术后病理证实的26例宫颈癌患者行DCE-MRI，比较正常宫颈与宫颈癌实质区的Ktrans值。用SPSS 18.0进行统计学处理，对正常宫颈与宫颈癌组织之间Ktrans差异的比较采用配对样本t检验，

0.05为差异有统计学意义。

结果：

正常子宫颈的对比剂灌注扫描Ktrans值为(0.5730.230)/min，宫颈癌原发灶的对比剂灌注扫描Ktrans值为(1.3960.451)/min，差异有统计学意义(

0.05)。

结论：

Ktrans值可有效、定量区分正常宫颈与宫颈癌组织。

Abstract

Objective:

To investigate whether volume transfer constant (Ktrans) can quantitatively differentiate normal cervix and cervical cancer.

Methods:

Routine MRI and dynamic contrast enhanced MRI (DCE-MRI) were performed in 26 patients with pathologically proved cervical cancer. Mean Ktrans values of normal cervix and cervical cancer were analyzed by SPSS 18.0.

Results:

The Ktrans value of normal cervix was (0.5730.230)/min

while Ktrans value of cervical cancer was (1.3960.451)/min. The difference was statistically significant (

=5.331

0.05).

Conclusion:

The quantitative parameters of DCE-MRI can be used to quantitatively discriminate cervical cancer f

rom normal cervix.

关键词

Keywords

references

Views

2113

下载量

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Prediction of outcomes in patients with locally advanced cervical cancer after concurrent chemoradiotherapy based on machine learning-based radiomics

Construction of a prognostic nomogram model for cervical cancer patients based on color Doppler ultrasound parameters and serological indicators

The application value of CEUS time-intensity curve quantitative model in cervical cancer concurrent chemoradiotherapy

Value on DWI combined with serum miR-375 level in the evaluation of long-term lymph node metastasis in patients with cervical cancer after laparoscopic hysterectomy

Application of transvaginal ultrasonography in the diagnosis of parametrial invasion in cervical cancer

Related Author

Jiehui Li

Shisheng XU

Meng LI

Ri’an PAN

Yihong LIU

TANG Xiuliang

MIAO Qing

YANG Bin nbsp

Related Institution

Department of Oncology, Affiliated Hospital of Guizhou Medical University

Department of Oncology, Guizhou Medical University Affiliated Cancer Hospital

Division of Oncology Teaching and Research, School of Clinical Medicine, Guizhou Medical University

Department of Oncology, Qingdao Municipal Hospital

Department of Obstetrics and Gynecology, Longgang District People’s Hospital in Shenzhen, Shenzhen 5181722

AI问答

⁰