Bone marrow edema detection for diagnostic support of axial spondyloarthritis using MRI-Reference-Cited by-同舟云学术

Bone marrow edema detection for diagnostic support of axial spondyloarthritis using MRI

Published:2024-08-01 Issue:9 Volume:19 Page:1699-1711
ISSN:1861-6429
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Kojima Akira,Tomita Tetsuya,Tsuji Shigeyoshi,Kadono Yuho,Tada Kurisu,Nozaki Taiki,Tamaki Masashi,Koyama Yoshinobu,Dobashi Hiroaki,Okano Tadashi,Kawaai Satoshi,Atsumi Tatsuya,Tamura Naoto,Matsumoto Yoshifuji,Goto Hitoshi,Taniguchi Yoshinori,Ueki Yukitaka,Takagi Michiaki,Matsui Kiyoshi,Hagimori Kohei,Shimizu Akinobu^ORCID

Funder

Eli Lilly Japan

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11548-024-03228-6.pdf

Reference13 articles.

1. Rudwaleit M, van der Heijde D, Landewé R, Listing J, Akkoc N, Brandt J, Braun J, Chou CT, Collantes-Estevez E, Dougados M, Huang F, Gu J, Khan MA, Kirazli Y, Maksymowych W, Mielants H, Sørensen I, Ozgocmen S, Roussou E, Valle-Oñate R, Weber U, Wei J, Sieper J (2009) The development of Assessment of Spondyloarthritis international society classification criteria for axial spondyloarthritis (Part II): validation and final selection. Ann Rheumat Dis 68(6):777–783. https://doi.org/10.1136/ard.2009.108233

2. Pialat JB, Marco LD, Feydy A, Peyron C, Porta B, Himpens PH, Ltaief-Boudrigua A, Aubry S (2016) Sacroiliac joints imaging in axial spondyloarthritis. Diagn Interv Imaging 97:697–708. https://doi.org/10.1016/j.diii.2016.02.013

3. Rzecki K, Kucybała I, Gut D, Jarosz A, Nabagło T, Tabor Z, Wojciechowski W (2021) Fully automated algorithm for the detection of bone marrow oedema lesions in patients with axial spondyloarthritis—feasibility study. Biocybern Biomed Eng 41:833–853. https://doi.org/10.1016/j.bbe.2021.05.005

4. Bressem KK, Adams LC, Proft F, Hermann KGA, Diekhoff T, Spiller L, Niehues SM, Makowski MR, Hamm B, Protopopov M, Rodriguez VR, Haibel H, Rademacher J, Torgutalp M, Lambert RG, Baraliakos X, Maksymowych WP, Vahldiek JL, Poddubnyy D (2022) Deep learning detects changes indicative of axial Spondyloarthritis at MRI of sacroiliac joints. Radiology 305(3):655–665. https://doi.org/10.1148/radiol.212526

5. Faleiros MC, Nogueira-Barbosa MH, Dalto VF, Ferreira Júnior JR, Tenório APM, Luppino-Assad R, Louzada Junior P, Rangayyan RM, Azevedo-Marques PM (2020) Machine learning techniques for computeraided classification of active inflammatory sacroiliitis in magnetic resonance imaging. Adv Rheumatol. https://doi.org/10.1186/s42358-020-00126-8