Literature DB >> 33350891

MRI-based Synthetic CT in the Detection of Structural Lesions in Patients with Suspected Sacroiliitis: Comparison with MRI.

Lennart B O Jans1, Min Chen1, Dirk Elewaut1, Filip Van den Bosch1, Philippe Carron1, Peggy Jacques1, Ruth Wittoek1, Jacob L Jaremko1, Nele Herregods1.   

Abstract

Background Evaluation of structural lesions in the sacroiliac (SI) joints can improve the accuracy for diagnosis of spondyloarthritis. However, structural lesions, such as erosions, are difficult to assess on routine T1-weighted MRI scans. Purpose To determine the diagnostic performance of MRI-based synthetic CT (sCT) in the depiction of erosions, sclerosis, and ankylosis of the SI joints compared with T1-weighted MRI, with CT as the reference standard. Materials and Methods A prospective study (clinical trial registration no. B670201837885) was performed from February 2019 to November 2019. Adults were referred from a tertiary hospital rheumatology outpatient clinic with clinical suspicion of inflammatory sacroiliitis. MRI and CT of the SI joints were performed on the same day. SCT images were generated from MRI scans using a commercially available deep learning-based image synthesis method. Two readers independently recorded if structural lesions (erosions, sclerosis, and ankylosis) were present on T1-weighted MRI, sCT, and CT scans in different reading sessions, with readers blinded to clinical information and other images. Diagnostic performance of sCT and T1-weighted MRI scans were analyzed using generalized estimating equation models, with consensus results of CT as the reference standard. Results Thirty participants were included (16 men, 14 women; mean age, 40 years ± 10 [standard deviation]). Diagnostic accuracy of sCT was higher than that of T1-weighted MRI for erosion (94% vs 86%, P = .003), sclerosis (97% vs 81%, P < .001), and ankylosis (92% vs 84%, P = .04). With sCT, specificity for erosion detection (96% [95% CI: 90, 98] vs 89% [95% CI: 81, 94], P = .01] and sensitivity for detection of sclerosis [94% [95% CI: 87, 97] vs 20% [95% CI: 10, 35], P < .001] and ankylosis (93% [95% CI: 78, 98] vs 70% [95% CI: 47, 87], P = .001) were improved. Conclusion With CT as the reference standard, synthetic CT of the sacroiliac joints has better diagnostic performance in the detection of structural lesions in individuals suspected of having sacroiliitis compared with routine T1-weighted MRI. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Fritz in this issue.

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Year:  2020        PMID: 33350891     DOI: 10.1148/radiol.2020201537

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  20 in total

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3.  MRI AI Use Case: Synthetic CT Images for Fracture Evaluation.

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Review 4.  Imaging in Axial Spondyloarthritis: What is Relevant for Diagnosis in Daily Practice?

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Journal:  Curr Rheumatol Rep       Date:  2021-07-03       Impact factor: 4.592

5.  MRI-based synthetic CT of the hip: can it be an alternative to conventional CT in the evaluation of osseous morphology?

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6.  Synthetic CT for the planning of MR-HIFU treatment of bone metastases in pelvic and femoral bones: a feasibility study.

Authors:  Beatrice Lena; Mateusz C Florkow; Cyril J Ferrer; Marijn van Stralen; Peter R Seevinck; Evert-Jan P A Vonken; Martijn F Boomsma; Derk J Slotman; Max A Viergever; Chrit T W Moonen; Clemens Bos; Lambertus W Bartels
Journal:  Eur Radiol       Date:  2022-02-21       Impact factor: 7.034

7.  Imaging update in inflammatory arthritis.

Authors:  Iwona Sudoł-Szopińska; Chiara Giraudo; Edwin H G Oei; Lennart Jans
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8.  CT-like images of the sacroiliac joint generated from MRI using susceptibility-weighted imaging (SWI) in patients with axial spondyloarthritis.

Authors:  Dominik Deppe; Kay-Geert Hermann; Fabian Proft; Denis Poddubnyy; Felix Radny; Mikhail Protopopov; Marcus R Makowski; Torsten Diekhoff
Journal:  RMD Open       Date:  2021-05

Review 9.  Anatomical Joint Form Variation in Sacroiliac Joint Disease: Current Concepts and New Perspectives.

Authors:  Katharina Ziegeler; Kay Geert A Hermann; Torsten Diekhoff
Journal:  Curr Rheumatol Rep       Date:  2021-07-03       Impact factor: 4.592

10.  Choose wisely: imaging for diagnosis of axial spondyloarthritis.

Authors:  Torsten Diekhoff; Iris Eshed; Felix Radny; Katharina Ziegeler; Fabian Proft; Juliane Greese; Dominik Deppe; Robert Biesen; Kay Geert Hermann; Denis Poddubnyy
Journal:  Ann Rheum Dis       Date:  2021-05-28       Impact factor: 19.103

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