Structured reporting of MRI for perianal fistula

Thipphavong, Seng; Costa, Andreu F.; Ali, Hamideh Ale; Wang, David C.; Brar, Mantaj S.; Jhaveri, Kartik

doi:10.1007/s00261-018-1839-y

Cited by 25 publications

(13 citation statements)

References 27 publications

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“…Patients are frequently referred to MRI for the assessment of FIA extent, to verify presence of complications and to confirm the diagnosis in challenging cases. Recently, SR templates for MRI of FIA have been published, sharing similar key imaging features (e.g., FIA type, extension and accessory tracts, presence of abscess) and highlighting the importance of clock-face annotation to indicate position [ 74 , 75 ]. In both cases, the authors emphasized that SR templates could optimize patient management through clear and complete communication of key imaging findings while reducing reporting time and making MRI studies easier to compare.…”

Section: Lower Abdomenmentioning

confidence: 99%

State of the art in abdominal MRI structured reporting: a review

et al. 2020

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In the management of several abdominal disorders, magnetic resonance imaging (MRI) has the potential to significantly improve patient’s outcome due to its diagnostic accuracy leading to more appropriate treatment choice. However, its clinical value heavily relies on the quality and quantity of diagnostic information that radiologists manage to convey through their reports. To solve issues such as ambiguity and lack of comprehensiveness that can occur with conventional narrative reports, the adoption of structured reporting has been proposed. Using a checklist and standardized lexicon, structured reports are designed to increase clarity while assuring that all key imaging findings related to a specific disorder are included. Unfortunately, structured reports have their limitations too, such as risk of undue report simplification and poor template plasticity. Their adoption is also far from widespread, and probably the ideal balance between radiologist autonomy and report consistency of has yet to be found. In this article, we aimed to provide an overview of structured reporting proposals for abdominal MRI and of works assessing its value in comparison to conventional free-text reporting. While for several abdominal disorders there are structured templates that have been endorsed by scientific societies and their adoption might be beneficial, stronger evidence confirming their imperativeness and added value in terms of clinical practice is needed, especially regarding the improvement of patient outcome.

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Section: Lower Abdomenmentioning

confidence: 99%

State of the art in abdominal MRI structured reporting: a review

et al. 2020

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“…Researchers have conducted a comparative study on the ordinary X-ray and CT imaging. The study found that the diagnosis of anal fistula with CT imaging is almost the same as the results of the surgery, with 96.7% of patients radically cured at one time, while the one-time cure rate of X-ray angiography is 70% [ 21 ]. The trend of fistulas is diverse and extremely irregular.…”

Section: Discussionmentioning

confidence: 99%

Deep Learning-Based CT Image Characteristics and Postoperative Anal Function Restoration for Patients with Complex Anal Fistula

Han

Chen

Cheng

et al. 2021

Journal of Healthcare Engineering

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Objective. This study aimed to optimize the CT images of anal fistula patients using a convolutional neural network (CNN) algorithm to investigate the anal function recovery. Methods. 57 patients with complex anal fistulas admitted to our hospital from January 2020 to February 2021 were selected as research subjects. Of them, CT images of 34 cases were processed using the deep learning neural network, defined as the experimental group, and the remaining unprocessed 23 cases were in the control group. Whether to process CT images depended on the patient’s own wish. The imaging results were compared with the results observed during the surgery. Results. It was found that, in the experimental group, the images were clearer, with DSC = 0.89, precision = 0.98, and recall = 0.87, indicating that the processing effects were good; that the CT imaging results in the experimental group were more consistent with those observed during the surgery, and the difference was notable ( P < 0.05 ). Furthermore, the experimental group had lower RP (mmHg), AMCP (mmHg) scores, and postoperative recurrence rate, with notable differences noted ( P < 0.05 ). Conclusion. CT images processed by deep learning are clearer, leading to higher accuracy of preoperative diagnosis, which is suggested in clinics.

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“…11 In the study of anal fistula, there are already other publications regarding the structured MRI report, which allows us to make comparisons with the results obtained here, although they are different reports and the method of analysis is not exactly the same as the one used here. Thipphavong et al 16 observed that MRI examination is essential in preoperative anal fistula evaluation, but that structured reporting offers even more benefits. Tuncyurek et al 17 in a study very similar to the one presented here also obtained from surgeons the conclusion that the structured report is clearer than the conventional one and is more helpful in surgical planning.…”

Section: Discussionmentioning

confidence: 99%

Comparison between conventional and structured magnetic resonance imaging reports in perianal fistula

Barbosa¹,

Camilo

Nunes

et al. 2020

Journal of Coloproctology

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Rationale Very often magnetic resonance imaging is used in the study of complex anal fistulae, but conventional reports may contribute little to what really matters to the coloproctologist. Objective To compare the clarity and usefulness of the conventional report compared to structured magnetic resonance imaging in cases of anal fistula. Method 30 magnetic resonance exams already performed with an evaluation of anal fistula were again evaluated without the radiologist having access to the old report and a new structured report was prepared. Five proctologists evaluated the 30 conventional and 30 structured reports and answered questionnaires with eight questions comparing their practical aspects. The results were tabulated and submitted to statistical treatment considering a significant p< 0.05. Results There was a statistically significant difference in favor of the structured report in the questions “clearly defines whether it is an active fistula or fibrosis”, “clearly states whether the tract is single or multiple”, “whether the patient has anal fistula or not”. The other questions did not present differences between the groups. Conclusion The structured magnetic resonance report presented clearer information and was better evaluated in relation to the conventional one in the analysis of proctologists in the study of anal fistulae.

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Structured reporting of MRI for perianal fistula

Cited by 25 publications

References 27 publications

State of the art in abdominal MRI structured reporting: a review

State of the art in abdominal MRI structured reporting: a review

Deep Learning-Based CT Image Characteristics and Postoperative Anal Function Restoration for Patients with Complex Anal Fistula

Comparison between conventional and structured magnetic resonance imaging reports in perianal fistula

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