Aktuelle MRT-Bildgebung des Knorpels im Kontext der Gonarthrose (Teil 1): Grundlagen und Sequenzen

被引:0
作者
Lemainque, Teresa [1 ]
Huppertz, Marc Sebastian [1 ]
Yueksel, Can [1 ]
Siepmann, Robert [1 ]
Kuhl, Christiane [1 ]
Roemer, Frank [2 ,3 ,4 ]
Truhn, Daniel [1 ]
Nebelung, Sven [1 ]
机构
[1] Univ Klinikum Aachen, Klin Diagnost & Intervent Radiol, Pauwelsstr 30, D-52074 Aachen, Germany
[2] Univ Klinikum Erlangen, Radiol Inst, Erlangen, Germany
[3] Friedrich Alexander Univ Erlangen Nurnberg, Erlangen, Germany
[4] Boston Univ, Chobanian & Avedisian Sch Med, Dept Radiol, Boston, MA USA
来源
RADIOLOGIE | 2024年 / 64卷 / 04期
关键词
Magnetic resonance imaging; Joint cartilage; Osteoarthritis; Computer-assisted image processing; Artificial intelligence; ARTICULAR-CARTILAGE; OSTEOARTHRITIS; ECHO;
D O I
10.1007/s00117-023-01252-2
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Magnetic resonance imaging (MRI) is the clinical method of choice for cartilage imaging in the context of degenerative and nondegenerative joint diseases. The MRI-based definitions of osteoarthritis rely on the detection of osteophytes, cartilage pathologies, bone marrow edema and meniscal lesions but currently a scientific consensus is lacking. In the clinical routine proton density-weighted, fat-suppressed 2D turbo spin echo sequences with echo times of 30-40 ms are predominantly used, which are sufficiently sensitive and specific for the assessment of cartilage. The additionally acquired T1-weighted sequences are primarily used for evaluating other intra-articular and periarticular structures. Diagnostically relevant artifacts include magic angle and chemical shift artifacts, which can lead to artificial signal enhancement in cartilage or incorrect representations of the subchondral lamina and its thickness. Although scientifically validated, high-resolution 3D gradient echo sequences (for cartilage segmentation) and compositional MR sequences (for quantification of physical tissue parameters) are currently reserved for scientific research questions. The future integration of artificial intelligence techniques in areas such as image reconstruction (to reduce scan times while maintaining image quality), image analysis (for automated identification of cartilage defects), and image postprocessing (for automated segmentation of cartilage in terms of volume and thickness) will significantly improve the diagnostic workflow and advance the field further.
引用
收藏
页码:295 / 303
页数:9
相关论文
empty
未找到相关数据