[1]涂永波,陈凤喜,李康,等.3D肝脏容积加速采集动态增强联合DWI评估子宫内膜癌病理分期的价值[J].中国医学物理学杂志,2020,37(11):1398-1402.[doi:DOI:10.3969/j.issn.1005-202X.2020.11.011]
　TU Yongbo,CHEN Fengxi,LI Kang,et al.Clinical value of 3D LAVA dynamic enhancement combined with DWI in evaluating pathological staging of endometrial carcinoma[J].Chinese Journal of Medical Physics,2020,37(11):1398-1402.[doi:DOI:10.3969/j.issn.1005-202X.2020.11.011]
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3D肝脏容积加速采集动态增强联合DWI评估子宫内膜癌病理分期的价值()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第11期
页码:
1398-1402
栏目:
医学影像物理
出版日期:
2020-12-02

文章信息/Info

Title:
Clinical value of 3D LAVA dynamic enhancement combined with DWI in evaluating pathological staging of endometrial carcinoma
文章编号:
1005-202X（2020）11-1398-05
作者:
涂永波1; 陈凤喜2; 李康1; 李国熊1; 冉熊1; 兰慧1; 周帮建3
1.中国科学院大学重庆医院/重庆市人民医院放射科， 重庆 400013； 2.解放军陆军军医大学附属第一医院放射科， 重庆 400038； 3.重庆医科大学附属第一医院大足医院/重庆市大足区人民医院放射科， 重庆 420360
Author(s):
TU Yongbo1;  CHEN Fengxi2;  LI Kang1;  LI Guoxiong1;  RAN Xiong1;  LAN Hui1;  ZHOU Bangjian3
1. Department of Radiology, Chongqing Hospital affiliated to University of Chinese Academy of Sciences/Chongqing Peoples Hospital, Chongqing 400013, China 2. Department of Radiology, First Affiliated Hospital of PLA Military Medical University, Chongqing 400038, China 3. Department of Radiology, Dazu Hospital, First Affiliated Hospital of Chongqing Medical University/Peoples Hospital of Dazu District, Chongqing 420360, China
关键词:
子宫内膜癌; 3D肝脏容积加速采集; 动态增强; 扩散加权成像
Keywords:
Keywords: endometrial cancer three-dimensional liver volume accelerating dynamic enhancement diffusion-weighted imaging
分类号:
R816.91
DOI:
DOI:10.3969/j.issn.1005-202X.2020.11.011
文献标志码:
A
摘要:
目的：探讨3.0T磁共振三维肝脏容积加速采集（3D LAVA）动态增强诊断子宫内膜癌分期的临床价值。方法：选取2018年3月至2019年7月期间陆军军医大学附属第一医院收治并通过病理学检查确诊为I、II期的97例子宫内膜癌患者进行研究。选取56例患者采用3D LAVA动态增强T1WI检查，另选取41例患者通过扩散加权成像（DWI）进行检查。结果：（1）3D LAVA动态增强检查的I期子宫内膜癌准确率明显高于T2WI。两种检查方式的I、II期子宫内膜癌分期准确性无显著影响（P>0.05）。（2）不同病理级别的内膜癌ADC平均值存在一定差异，且两两对比后，组间差异具有统计学意义（P<0.01）。结论：子宫内膜癌I、II期分期评估中，应用3D LAVA动态增强检查的准确性较高，ADC值与病理级别呈负相关；区分内膜癌病理分期及标准可应用ADC测量值；3D LAVA动态增强联合DWI，可降低子宫内膜癌病理分期检查误判率，同时提高准确性并选取最佳治疗方案。
Abstract:
Abstract: Objective To explore the clinical value of Siemens 3.0T magnetic resonance (MR) three-dimensional liver volume accelerated acquisition (3D LAVA) dynamic contrast-enhanced diagnosis in endometrial carcinoma staging. Methods 97 patients diagnosed as endometrial cancer stage I and II by pathological examination and admitted to the First Affiliated Hospital of PLA Military Medical University from March 2018 to July 2019 were sampled for the study. 56 patients were examined by using 3D LAVA dynamic contrast-enhanced T1WI, and other 41 patients were examined by diffusion-weighted imaging (DWI). Results (1) The diagnosis accuracy of stage I endometrial carcinoma with 3D LAVA contrast-enhanced examination was significantly higher than that of T2WI. Between the two examination modalities, there was no significant differences in the staging accuracy of stage I and II endometrial carcinoma (P>0.05). (2) After pairwise comparison, some statistically significant differences of the mean ADC values in different pathological grades of endometrial carcinoma was found (P<0.01). Conclusion The accuracy of 3D LAVA dynamic contrast-enhanced examination is higher in diagnosis of stage I and II of endometrial carcinoma, and the ADC value is negatively correlated with the pathological grade ADC value can be used to distinguish the pathological stage and criteria of endometrial carcinoma 3D LAVA dynamic contrast-enhanced examination combined with DWI can reduce the misjudgment rate of pathological staging examination of endometrial carcinoma, and improve the accuracy to select the best treatment.

相似文献/References:

[1]何大馨,祝海城,马鹰.阴道彩色多普勒超声结合弹性成像技术对子宫内膜癌的早期诊断价值[J].中国医学物理学杂志,2016,33(11):1163.[doi:10.3969/j.issn.1005-202X.2016.11.016]
　[J].Chinese Journal of Medical Physics,2016,33(11):1163.[doi:10.3969/j.issn.1005-202X.2016.11.016]
[2]林海宏,郭苑莉,潘如,等.基于机器学习探究子宫内膜癌免疫微环境与基因表达的关联及其对预后的预测价值[J].中国医学物理学杂志,2024,41(12):1568.[doi:DOI:10.3969/j.issn.1005-202X.2024.12.016]
　LIN Haihong,GUO Yuanli,PAN Ru,et al.Investigation of the association between endometrial cancer immune microenvironment and gene expression based on machine learning and its predictive value for prognosis[J].Chinese Journal of Medical Physics,2024,41(11):1568.[doi:DOI:10.3969/j.issn.1005-202X.2024.12.016]

备注/Memo

备注/Memo:
【收稿日期】2020-03-13 【基金项目】重庆市科卫联合医学科研项目（2018MSXM056） 【作者简介】涂永波，硕士，主治医师，研究方向：影象诊断及介入治疗，E-mail: fuxh05@126.com 【通信作者】周帮建，主治医师，研究方向：放射诊断；E-mail: 164477999@qq.com
更新日期/Last Update: 2020-12-02