Literature DB >> 25121040

Magnetic resonance imaging (MRI) evaluation of perianal fistulae with surgical correlation.

Kulvinder Singh1, Navdeep Singh2, Cl Thukral3, Kunwar Pal Singh4, Varun Bhalla5.   

Abstract

AIMS: The purpose of the study was to evaluate the role of Magnetic Resonance Imaging in detection and characterization of perianal fistulae and correlating it with surgical findings.
METHODS: Fifty consecutive patients with suspected perianal fistulae having one or more external openings were prospectively selected for MRI evaluation. Previously operated or patients with recurrent perianal disease were excluded from the study. MRI findings were recorded according to "St. James's University Hospital MR Imaging Classification of Perianal Fistulae" and correlated with surgical observations. Finally, comparison between T2-weighted fat saturated and postcontrast T1-weighted fat saturated sequences was done.
RESULTS: Amongst the total of 50 patients, per-operative findings confirmed perianal fistulae in 45 patients. The sensitivity and specificity of MRI in correctly detecting and grading the primary tract was found to be 95.56% and 80% respectively; for abscess, it was 87.50% and 95.24% respectively. High sensitivity was also discerned in identification of secondary tract (93.75%), correct localization of internal opening (95.83%) and for correctly detecting the horse-shoeing (87.50%). Our assumption of null hypothesis was accepted on comparing results of T2-weighted fat saturated sequences and postcontrast T1-weighted fat saturated sequences.
CONCLUSION: Magnetic Resonance Imaging (MRI) was highly accurate in assessment of surgically important parameters (primary tract and its grading, internal opening, secondary tract, abscess, horseshoeing) of perianal fistulae. Comparison of results of imaging findings on T2-weighted and postcontrast T1-weighted fat saturated sequences were statistically similar, so contrast study can be omitted, particularly while evaluating primary / previously unoperated perianal fistulae.

Entities:  

Keywords:  Fistula; MRI; Perianal

Year:  2014        PMID: 25121040      PMCID: PMC4129264          DOI: 10.7860/JCDR/2014/7328.4417

Source DB:  PubMed          Journal:  J Clin Diagn Res        ISSN: 0973-709X


  14 in total

1.  MR imaging classification of perianal fistulas and its implications for patient management.

Authors:  J Morris; J A Spencer; N S Ambrose
Journal:  Radiographics       Date:  2000 May-Jun       Impact factor: 5.333

2.  Diagnostic accuracy of body coil MRI in describing the characteristics of perianal fistulas.

Authors:  B Mahjoubi; H Haizadch Kharazi; R Mirzaei; A Moghimi; A Changizi
Journal:  Colorectal Dis       Date:  2006-03       Impact factor: 3.788

3.  Insights gained from the management of problematical anal fistulae at St. Mark's Hospital, 1984-88.

Authors:  R K Phillips
Journal:  Br J Surg       Date:  1991-05       Impact factor: 6.939

Review 4.  Imaging of fistula in ano.

Authors:  Steve Halligan; Jaap Stoker
Journal:  Radiology       Date:  2006-04       Impact factor: 11.105

5.  Magnetic resonance imaging of fistula-in-ano.

Authors:  P J Lunniss; P G Barker; A H Sultan; P Armstrong; R H Reznek; C I Bartram; K S Cottam; R K Phillips
Journal:  Dis Colon Rectum       Date:  1994-07       Impact factor: 4.585

6.  Fistula-in-ano in a defined population. Incidence and epidemiological aspects.

Authors:  P Sainio
Journal:  Ann Chir Gynaecol       Date:  1984

Review 7.  Anal fistula.

Authors:  F Seow-Choen; R J Nicholls
Journal:  Br J Surg       Date:  1992-03       Impact factor: 6.939

8.  Diagnosis of fistulae and sinus tracts in patients with Crohn disease: value of MR imaging.

Authors:  G Koelbel; U Schmiedl; M C Majer; P Weber; H Jenss; K Kueper; C F Hess
Journal:  AJR Am J Roentgenol       Date:  1989-05       Impact factor: 3.959

9.  Significance of MRI in the treatment of perianal fistula.

Authors:  M Hutan; M Hutan; M Satko; A Dimov
Journal:  Bratisl Lek Listy       Date:  2009       Impact factor: 1.278

10.  MRI for assessment of anal fistula.

Authors:  Michael R Torkzad; Urban Karlbom
Journal:  Insights Imaging       Date:  2010-05-27
View more
  7 in total

1.  Preoperative assessment of simple and complex anorectal fistulas: Tridimensional endoanal ultrasound? Magnetic resonance? Both?

Authors:  Antonio Brillantino; Francesca Iacobellis; Alfonso Reginelli; Luigi Monaco; Biagio Sodano; Giuseppe Tufano; Antonio Tufano; Mauro Maglio; Maurizio De Palma; Natale Di Martino; Adolfo Renzi; Roberto Grassi
Journal:  Radiol Med       Date:  2019-01-03       Impact factor: 3.469

2.  MR imaging of perianal fistulas in Crohn's disease: sensitivity and specificity of STIR sequences.

Authors:  Giuseppe Lo Re; Chiara Tudisca; Federica Vernuccio; Dario Picone; Maria Cappello; Francesco Agnello; Massimo Galia; Maria Cristina Galfano; Ennio Biscaldi; Sergio Salerno; Antonio Pinto; Massimo Midiri; Roberto Lagalla
Journal:  Radiol Med       Date:  2015-12-07       Impact factor: 3.469

3.  Magnetic Resonance Imaging (MRI) Characterization of Perianal Fistulous Disease in a Rural Based Tertiary Hospital of North India.

Authors:  Narvir Singh Chauhan; Dinesh Sood; Anurag Shukla
Journal:  Pol J Radiol       Date:  2016-12-22

Review 4.  Multi Detector Computed Tomography Fistulography In Patients of Fistula-in-Ano: An Imaging Collage.

Authors:  Shuchi Bhatt; Bhupendra Kumar Jain; Vikas Kumar Singh
Journal:  Pol J Radiol       Date:  2017-09-15

5.  MRI T2-Weighted Imaging and Fat-Suppressed T2-Weighted Imaging Image Fusion Technology Improves Image Discriminability for the Evaluation of Anal Fistulas.

Authors:  Shi Ting Feng; Mengqi Huang; Zhi Dong; Ling Xu; Yin Li; Yingmei Jia; Huasong Cai; Bingqi Shen; Zi Ping Li
Journal:  Korean J Radiol       Date:  2019-03       Impact factor: 3.500

6.  A comparable method to Gd-contrast enhancement in the preoperative evaluation of anal fistula.

Authors:  Chao Gu; Yu Wang; Lixia Lai; Weiwei Han; Jiansheng Li; Haichang Xing; Yongjun Huo; Chuanting Li; Keyun Bai
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

7.  Deep Learning-Based Magnetic Resonance Imaging Features in Diagnosis of Perianal Abscess and Fistula Formation.

Authors:  Jun Yang; Song Han; Jihua Xu
Journal:  Contrast Media Mol Imaging       Date:  2021-10-22       Impact factor: 3.161

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.