Literature DB >> 23958432

CT imaging with fistulography for perianal fistula: does it really help the surgeon?

Changhu Liang1, Wanli Jiang, Bin Zhao, Yan Zhang, Yinglin Du, Yongchao Lu.   

Abstract

OBJECTIVE: To prospectively evaluate the relative accuracy of computed tomography (CT) fistulography for preoperative assessment of fistula in ano.
MATERIALS AND METHODS: Ethical committee approval and informed consent were obtained. A total of 22 patients (15 male and 7 female, age 21-58 years) who were suspected of having fistula in ano underwent preoperative CT fistulography (CTF). The CT images of 0.6 mm were obtained respectively before and after fistulography; contrast-enhanced CT scan was also performed in 22 patients. CTF images were evaluated by two expert radiologists to assess the fistulas in the following respects: (a) the volume-rendered imaging; (b) the extensions of active inflammatory tissue; (c) the internal opening and external opening; (d) the hidden areas of tract or abscess; and (e) the deep abscess adjacent to fistula. CT findings in 18 patients were compared with surgical findings or exam under anesthesia.
RESULTS: The CTF findings in 18 cases were basically in accordance with the surgical findings and/or examination findings under anesthesia. Both coronal and transverse planes were useful in assessing the location and direction of tracts or abscesses. Complicated spatial information within the perianal soft tissue about the fistula with secondary ramifications or abscesses can be easily demonstrated to the surgeons. Contrast-enhanced images were useful in assessing the inflammatory lesion activity and infiltrated area.
CONCLUSION: CTF exquisitely depicts the perianal anatomy and shows the fistulous tracks with their associated ramifications, enables selection of the most appropriate surgical treatment, and therefore minimizes all chances of recurrence.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anal fistula; Computed tomography; Fistulography; Ramifications

Mesh:

Year:  2013        PMID: 23958432     DOI: 10.1016/j.clinimag.2013.04.014

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  4 in total

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Authors:  Eisaku Ito; Masashi Yoshida; Keigo Nakashima; Norihiko Suzuki; Tomonori Imakita; Nobuhiro Tsutsui; Hironori Ohdaira; Masaki Kitajima; Yutaka Suzuki
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  4 in total

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