Perianal fistula mapping at 3 T: volumetric versus conventional MRI sequences

Cerit, Mahi Nur; Öner, Ali Yusuf; Yıldız, Alp; Cındıl, Emetullah; Şendur, Halit Nahit; Leventoğlu, Sezai

doi:10.1016/j.crad.2020.03.034

Cited by 9 publications

(4 citation statements)

References 42 publications

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“…At present, CNN is more and more widely applied in the field of medical image diagnosis and has made good progress. e mechanism of CNN is to automatically complete the feature extraction of the image through the convolutional operation of the image, which has higher semantic information and stronger robustness [14].…”

Section: Construction Of Deep Learning Model Based Onmentioning

confidence: 99%

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

Han

2021

Contrast Media & Molecular Imaging

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There was an investigation of the diagnostic and prognostic effect of magnetic resonance imaging (MRI) based on multimodal feature fusion algorithm for impotence of perianal abscess. In this study, the second to fifth convolution blocks of the visual geometric group network were applied to extract the depth features in the way of transfer learning, and a multimode feature fusion algorithm was constructed. The whole network was trained by maximizing the energy proportion of the feature layers, which was compared with the fully convolutional neural network (FCN) algorithm. Then, this algorithm was adopted to the imaging diagnosis of 50 patients with anorectal diseases admitted to our hospital, and it was found that the similarity coefficient (85.37%), accuracy (80.02%), and recall rate (79.38%) of the improved deep learning algorithm were higher markedly than those of the FCN algorithm (70.18%, 67.82%, and 66.92%) ( P < 0.05 ). As the number of convolutional layers increased, the segmentation accuracy of the convolutional neural network (CNN) algorithm was also improved. The detection rate of the observation group (84%) rose hugely compared with the control group (64%), and the difference was statistically obvious ( P < 0.05 ). Besides, the detection accuracy of abscess location (84%), impotent tract location (80%), and internal orifice location (92%) in patients from the observation group was higher substantially than the accuracy of abscess location (60%), impotent tract location (68%), and internal orifice location (72%) from the control group ( P < 0.05 ). In conclusion, the performance of the multimodal feature fusion algorithm was better, and the MRI image feature analysis based on this algorithm had a higher diagnostic accuracy, which had a positive effect on improving the detection rate, detection accuracy, and disease classification.

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Section: Construction Of Deep Learning Model Based Onmentioning

confidence: 99%

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

Han

2021

Contrast Media & Molecular Imaging

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“…MRI tools are more accurate than endosonography in determining the type of fistula and allow more branches to be detected (Cerit et al, 2020;Wahyuningtiyas & Apriantoro, 2020;Sharma et al, 2020). In another study, CT scan fistulography was able to locate the internal orifice in 28 patients (68.2%), whereas MRI was able to detect this aspect in 35 patients (85.3%).was more successful (Shahzad et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

MRI Case Report of Perianal Fistula with T2 TSE SPIR Sequence

et al. 2023

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MRI is a diagnostic imaging tool crucial for pelvic examination in perianal fistula cases. MRI imaging offers some advantages, especially in showing the area of spesi and secondary dilatation. Both have a high recurrence rate after surgery and an important role in determining surgical outcomes and minimizing complications. This study aims to evaluate pelvic MRI examination of perianal fistulas using the T2 TSE SPIR (Turbo Spin Echo Spectral Presaturation with Inversion Recovery) sequence. Research design used a qualitative descriptive method with participatory observation through a case study approach to Perianal Fistula using T2 TSE_SPIR. It was carried out at the Radiology Department of Mayapada Hospital in South Jakarta from August to December 2022. The MRI equipment Philips Achieva 1.5 Tesla with Sense Body Coil. MRI contrast agent of gadoteric acid, Vitamin E capsule, was attached to the perianal fistula location to make it easier for the radiologist to see the path of the perianal fistula. The results of Pelvis MRI images in perianal fistulas using the T2 TSE SPIR sequence shown with clear boundaries of perianal fistulas with anal organs, sigmoid colon, bladder, and prostate between one organ and another. Implementing the selection of the T2 TSE SPIR sequence to visualize fluid images becomes hyper-intensive by suppressing fat signals so that only fluid is visible in the perianal abscess and fistula images.

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“…In recent years, in addition to conventional MRI sequences, some advanced sequences have been gradually applied to research on anal fistula. The volumetric contrast-enhanced three-dimensional T1-weighted (CE 3D T1) sequences with a shorter scanning time may display internal openings better than conventional two-dimensional sequences [ 11 ]. Diffusion-weighted imaging (DWI) helps to improve the diagnostic accuracy of anal fistula and perianal abscess [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Dynamic contrast-enhanced MR imaging in identifying active anal fistula after surgery

Lu,

Li,

Liang

et al. 2024

BMC Med Imaging

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Background It is challenging to identify residual or recurrent fistulas from the surgical region, while MR imaging is feasible. The aim was to use dynamic contrast-enhanced MR imaging (DCE-MRI) technology to distinguish between active anal fistula and postoperative healing (granulation) tissue. Methods Thirty-six patients following idiopathic anal fistula underwent DCE-MRI. Subjects were divided into Group I (active fistula) and Group IV (postoperative healing tissue), with the latter divided into Group II (≤ 75 days) and Group III (> 75 days) according to the 75-day interval from surgery to postoperative MRI reexamination. MRI classification and quantitative analysis were performed. Correlation between postoperative time intervals and parameters was analyzed. The difference of parameters between the four groups was analyzed, and diagnostic efficiency was tested by receiver operating characteristic curve. Results Wash-in rate (WI) and peak enhancement intensity (PEI) were significantly higher in Group I than in Group II (p = 0.003, p = 0.040), while wash-out rate (WO), time to peak (TTP), and normalized signal intensity (NSI) were opposite (p = 0.031, p = 0.007, p = 0.010). Area under curves for discriminating active fistula from healing tissue within 75 days were 0.810 in WI, 0.708 in PEI, 0.719 in WO, 0.783 in TTP, 0.779 in NSI. All MRI parameters were significantly different between Group I and Group IV, but not between Group II and Group III, and not related to time intervals. Conclusion In early postoperative period, DCE-MRI can be used to identify active anal fistula in the surgical area. Trial registration Chinese Clinical Trial Registry: ChiCTR2000033072.

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Perianal fistula mapping at 3 T: volumetric versus conventional MRI sequences

Cited by 9 publications

References 42 publications

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

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

MRI Case Report of Perianal Fistula with T2 TSE SPIR Sequence

Dynamic contrast-enhanced MR imaging in identifying active anal fistula after surgery

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