Comparative analysis of endoanal ultrasound and MRI in diagnosis of complex anal fistula

ZHANG Wenlong; YAO Ye; LI Qiong; WANG Song

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Comparative analysis of endoanal ultrasound and MRI in diagnosis of complex anal fistula

更新时间：2025-12-31

- Comparative analysis of endoanal ultrasound and MRI in diagnosis of complex anal fistula
- Vol. 24, Issue 3, Pages: 216-221(2015)
- 作者机构：
- 作者简介：
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  CLC：
- Published Online：20 October 2015，
  
  Published：20 October 2015
- 稿件说明：
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张文龙,姚晔,李琼,等. 直肠腔内超声和MRI在复杂性肛瘘诊断中的对比分析[J]. 肿瘤影像学, 2015, 24(3): 216-221
DOI：

张文龙,姚晔,李琼,等. 直肠腔内超声和MRI在复杂性肛瘘诊断中的对比分析[J]. 肿瘤影像学, 2015, 24(3): 216-221 DOI：

摘要

目的：

探讨MRI在复杂性肛瘘诊断中的应用价值。

方法：

对32例临床诊断为复杂性肛瘘的患者行直肠腔内超声(EAUS)和MRI检查。以手术结果为标准，分析MRI对复杂性肛瘘分型的准确率，并比较EAUS与MRI对复杂性肛瘘的内口、主管和支管/脓腔检查的灵敏度。

结果：

MRI的Parks分型结果与手术结果对照，准确率为90.6%。EAUS与MRI显示内口的灵敏度差异有统计学意义(P＜0.05)，显示原发主管的灵敏度差异无统计学意义(

＞0.05)，显示支管/脓腔的灵敏度差异有统计学意义(

＜0.05)。

结论：

MRI对复杂性肛瘘Parks分型的准确率为90.6%，比EAUS能更准确地定位复杂性肛瘘的内口、主管、支管/脓腔，有重要的临床应用价值。

Abstract

Objective:

To explore the application value of magnetic resonance imaging (MRI) in the diagnosis of complex anal fistula.

Methods:

A total of 32 cases with complex anal fistula underwent endoanal ultrasound (EAUS) and MRI. The diagnostic accuracies of EAUS and MRI were compared with surgical results. Their sensitivities of displaying the internal openings

primary tracts and secondary extensions or abscesses of complex anal fistula were compared too.

Results:

Compared with the surgical results

the accuracy of MRI was 90.6%. There were significant differences in the sensitivities of displaying internal openings and secondary extensions or abscesses between MRI and EAUS (

0.05)

but there was no significant dif

ference in the sensitivity of displaying primary tracts between MRI and EAUS.

Conclusion:

The accuracy of diagnosing complex anal fistula by MRI was 90.6%. Compared with EAUS

MRI could more accurately display the internal openings

primary tracts

secondary extensions or abscesses of complex anal fistula

with important value in clinical application.

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Related Institution

Department of Radiology, Jilin Provincial People's Hospital

Department of Medical Imaging, North China University of Science and Technology Affiliated Hospital

Department of Cardiothoracic Surgery, KaiLuan General Hospital

Department of Radiology, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute

Department of Computing Science and Artificial Intelligence, Liaoning Normal University

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