ArticleScientific reports2017
Pelvic MRI and CT images are interchangeable for measuring peripouch fat.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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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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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Article
- Measurements of peri-prostatic adipose tissue by MRI predict bone metastasis in patients with newly diagnosed prostate cancer.Frontiers in oncology · 2024Article
- Role of Perirectal Fat in the Carcinogenesis and Development of Early-Onset Rectal Cancer.Journal of oncology · 2022Article
- Greater Peripouch Fat Area on CT Image Is Associated with Chronic Pouchitis and Pouch Failure in Inflammatory Bowel Diseases Patients.Digestive diseases and sciences · 2020Article
- Are radiologic pouchogram and pouchoscopy useful before ileostomy closure in asymptomatic patients operated for ulcerative colitis?European radiology · 2019Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A total of 27 pouch patients with inflammatory bowel diseases, who underwent pelvic MRI-DIXON and CT scan within one year, were included. Peripouch fat areas were measured at the middle height level of pouch (AreaM) and the highest level of pouch (AreaH). Our results demonstrated that measurements of perianal fat thickness, AreaM and AreaH based on MRI image were accurate and reproducible (correlation efficiency(r): intraobserver: 0.984-0.991; interobserver: 0.969-0.971; all P < 0.001). Bland-Altman analysis showed that more than 92.593% (25/27) of dots fell within the limits of agreement. We also identified strong agreements between CT and MRI image in measuring perianal fat thickness(r = 0.823, P < 0.001), AreaM (r = 0.773, P < 0.001) and AreaH (r = 0.862, P < 0.001). Interchangeable calculating formula to normalize measurements between CT and MRI images were created: Thickness_CT = 0.610 × Thickness_MRI + 0.853; AreaM_CT = 0.865 × AreaM_MRI + 1.392; AreaH_CT = 0.508 × AreaH_MRI + 15.001. In conclusion, pelvic MRI image is a feasible and reproducible method for quantifying peripouch fat. Pelvic MRI and CT images are interchangeable in retrospective measurements of peripouch fat, which will foster future investigation of the role of mesentery fat in colorectal diseases.
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Registered trials
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