Evidence map›Paper›PMID 35094202›Full record

ArticleTechniques in coloproctology2022

3D visualization of perianal fistulas using parametric models.

N V Navkar, S Balakrishnan, S Kharbech, M Sabawi, J Abinahed, A Ahmed, A Al-Ansari, A Omar, M Khanna, A Darweesh

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Article in Techniques in coloproctology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

N V NavkarDepartment of Surgery, Hamad General Hospital, Hamad Medical Corporation, P.O. 3050, Doha, Qatar.
S BalakrishnanDepartment of Surgery, Hamad General Hospital, Hamad Medical Corporation, P.O. 3050, Doha, Qatar. sbalakrishnan1@hamad.qa.ORCID http://orcid.org/0000-0001-6361-4980
S KharbechDepartment of Surgery, Hamad General Hospital, Hamad Medical Corporation, P.O. 3050, Doha, Qatar.
M SabawiDepartment of Clinical Imaging, Hamad Medical Corporation, Doha, Qatar.
J AbinahedDepartment of Clinical Imaging, Hamad Medical Corporation, Doha, Qatar.
A AhmedDepartment of Surgery, Hamad General Hospital, Hamad Medical Corporation, P.O. 3050, Doha, Qatar.
A Al-AnsariDepartment of Surgery, Hamad General Hospital, Hamad Medical Corporation, P.O. 3050, Doha, Qatar.
A OmarDepartment of Clinical Imaging, Hamad Medical Corporation, Doha, Qatar.
M KhannaWollongong Diagnostics, Wollongong, NSW, Australia.
A DarweeshDepartment of Clinical Imaging, Hamad Medical Corporation, Doha, Qatar.

Funding

Hamad Medical Corporation IRGC-03-JI-17-080
6 · The paper itself

Abstract

backgroundMagnetic resonance imaging (MRI) is used as a standard for assessment of complex perianal fistulas. Apart from textual description of the case, 3D reconstructed models from MRI further aid in understanding the entire anatomy of the fistula tract and its relation to the pelvic floor. This information is crucial as it helps surgeons to understand the extent and complexity of the disease before surgical treatment. However, 3D model generation from MRI is a time-consuming step for a radiologist as it requires tedious manual delineations to be performed on every slice of the images. The aim of this study was to develop a method that could enable radiologists to present enhanced information to surgeons for treatment of complex perianal fistulas while simultaneously reducing the manual efforts and time required to generate the information.

methodsA method was proposed to depict relevant anatomies of complex perianal fistula as parametric models in three-dimensional (3D) space. A plugin inside 3D Slicer software was developed for the generation of the parametric models from MRI. The levator ani muscle, internal sphincter, and external sphincter are represented as tubular structures, whereas fistula tracks and abscess are presented as splines.

resultsParametric models were generated to depict three cases of complex perianal fistulas and similarity measures were computed for ten cases. Visual comparison of the parametric models was made with the 3D models generated by the standard approach. The parametric models took less time to create and were able to visually present enriched information as compared to the 3D models generated by the standard approach.

conclusionsThe proposed method, using parametric models, shows potential for faster generation and better visualization of the 3D information required for the treatment of complex perianal fistula cases.

Indexed as

Cutaneous FistulaRectal FistulaHumansImaging, Three-DimensionalMagnetic Resonance ImagingPelvic FloorMagnetic resonance imaging (MRI)Perianal fistulaThree-dimensional (3D) visualization

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.