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Published in: BMC Gastroenterology 1/2023

Open Access 01-12-2023 | Magnetic Resonance Imaging | Research

A magnetic resonance imaging-based decision-making tool for predicting complex anal fistulas healing in the early postoperative period

Authors: Hao Xu, Guo-Zhong Xiao, Yi-Hui Zheng, Yuan-Ji Fu, Sheng-Lan Zhong, Dong-Lin Ren, Wen-Ru Li, Hong-Cheng Lin

Published in: BMC Gastroenterology | Issue 1/2023

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Abstract

Background

Magnetic resonance imaging (MRI) has excellent accuracy in diagnosing preoperative lesions before anal fistula surgery. However, MRI is not good in identifying early recurrent lesions and effective methods for quantitative assessment of fistula healing are still warranted. This retrospective study aimed to develop and validate a specific MRI-based nomogram model to predict fistula healing during the early postoperative period.

Methods

Patients with complex cryptoglandular anal fistulas who underwent surgery between January 2017 and October 2020 were included in this study. MRI features and clinical parameters were analyzed using univariate and multivariate logistic regression analysis. A nomogram for predicting fistula healing was constructed and validated.

Results

In total, 200 patients were included, of whom 186 (93%) were male, with a median age of 36 (18–65) years. Of the fistulas, 58.5% were classified as transsphincteric and 19.5% as suprasphincteric. The data were randomly divided into the training cohort and testing cohort at a ratio of 7:3. Logistic analysis revealed that CNR, ADC, alcohol intake history, and suprasphincteric fistula were significantly correlated with fistula healing. These four predictors were used to construct a predictive nomogram model in the training cohort. AUC was 0.880 and 0.847 for the training and testing cohorts, respectively. Moreover, the decision and calibration curves showed high coherence between the predicted and actual probabilities of fistula healing.

Conclusions

We developed a predictive model and constructed a nomogram to predict fistula healing during the early postoperative period. This model showed good performance and may be clinically utilized for the management of anal fistulas.
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Metadata
Title
A magnetic resonance imaging-based decision-making tool for predicting complex anal fistulas healing in the early postoperative period
Authors
Hao Xu
Guo-Zhong Xiao
Yi-Hui Zheng
Yuan-Ji Fu
Sheng-Lan Zhong
Dong-Lin Ren
Wen-Ru Li
Hong-Cheng Lin
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Gastroenterology / Issue 1/2023
Electronic ISSN: 1471-230X
DOI
https://doi.org/10.1186/s12876-023-02963-5

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