MRI-based synthetic CT in the detection of knee osteoarthritis

MRI-based synthetic CT in the detection of knee osteoarthritis: Comparison with CT

Arbabi, Saeed (University Medical Center Utrecht)
Foppen, Wouter (University Medical Center Utrecht)
Gielis, Willem Paul (University Medical Center Utrecht)
van Stralen, Marijn (MRIguidance B.V)
Jansen, Mylène (University Medical Center Utrecht)
Arbabi, Vahid (University Medical Center Utrecht; Orthopaedic‐ Biomechanics Research Group)
de Jong, Pim A. (University Medical Center Utrecht)
Weinans, Harrie (TU Delft Biomaterials & Tissue Biomechanics; University Medical Center Utrecht)
Seevinck, Peter (Image Sciences Institute; MRIguidance B.V)

2023

Magnetic resonance Imaging is the gold standard for assessment of soft tissues; however, X-ray-based techniques are required for evaluating bone-related pathologies. This study evaluated the performance of synthetic computed tomography (sCT), a novel MRI-based bone visualization technique, compared with CT, for the scoring of knee osteoarthritis. sCT images were generated from the 3T T1-weighted gradient-echo MR images using a trained machine learning algorithm. Two readers scored the severity of osteoarthritis in tibiofemoral and patellofemoral joints according to OACT, which enables the evaluation of osteoarthritis, from its characteristics of joint space narrowing, osteophytes, cysts and sclerosis in CT (and sCT) images. Cohen's κ was used to assess the interreader agreement for each modality, and intermodality agreement of CT- and sCT-based scores for each reader. We also compared the confidence level of readers for grading CT and sCT images using confidence scores collected during grading. Inter-reader agreement for tibiofemoral and patellofemoral joints were almost-perfect for both modalities (κ = 0.83–0.88). The intermodality agreement of osteoarthritis scores between CT and sCT was substantial to almost-perfect for tibiofemoral (κ = 0.63 and 0.84 for the two readers) and patellofemoral joints (κ = 0.78 and 0.81 for the two readers). The analysis of diagnosis confidence scores showed comparable visual quality of the two modalities, where both are showing acceptable confidence levels for scoring OA. In conclusion, in this single-center study, sCT and CT were comparable for the scoring of knee OA.

CT
MRI
neural networks
osteoarthritis
synthetic CT

http://resolver.tudelft.nl/uuid:03e92f25-9e64-45ea-a096-540fe212834a

https://doi.org/10.1002/jor.25557

0736-0266

Journal of Orthopaedic Research: a journal for musculoskeletal investigation, 41 (11), 2530-2539

Institutional Repository

journal article

© 2023 Saeed Arbabi, Wouter Foppen, Willem Paul Gielis, Marijn van Stralen, Mylène Jansen, Vahid Arbabi, Pim A. de Jong, Harrie Weinans, Peter Seevinck