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Respective interest of T2 mapping and diffusion tensor imaging in assessing porcine knee cartilage with MR at 3 Teslas

Authors :
Jacques Felblinger
Pierre Gillet
Emilie Roeder
Astrid Pinzano
Pierre-André Vuissoz
Bailiang Chen
Marine Beaumont
Institut National de la Santé et de la Recherche Médicale (INSERM)
Imagerie Adaptative Diagnostique et Interventionnelle (IADI)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)
Ingénierie Moléculaire et Physiopathologie Articulaire (IMoPA)
Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)
Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)
Centre d'Investigation Clinique - Innovation Technologique [Nancy] (CIC-IT)
Centre d'investigation clinique [Nancy] (CIC)
Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)
Source :
Bio-Medical Materials and Engineering, Bio-Medical Materials and Engineering, IOS Press, 2013, 23 (4), pp.263-72. ⟨10.3233/BME-130750⟩, Bio-Medical Materials and Engineering, IOS Press, 2013, 23 (4), pp.263-272. ⟨10.3233/BME-130750⟩, HAL
Publication Year :
2013

Abstract

International audience; Non-invasive quantitative assessment of articular cartilage integrity is essential for early detection and evaluation of osteoarthritis (OA) and for the follow-up of stem-cell-driven cartilage engineering. In this study, we investigated the feasibility of exploiting diffusion tensor imaging (DTI) on porcine knee joints with a clinical magnetic resonance (MR) scanner to extract micro-structural information in order to complement biochemical information quantified by T2 maps. We propose an MR protocol for quantifying T2 and cartilage microstructure with diffusion MR on a clinical scanner. Preliminary results were obtained on four pig knee joints using a 3 T GE clinical MRI scanner and an 8-channel knee coil array. The measured cartilage volume, T2 values, apparent diffusion coefficient and fractional anisotropy (FA) of femoral and tibial cartilage were respectively 9.8/2.3 mm2, 67.0/56.1 ms, 1.3/1.3×10-3 mm2/s and 0.4/0.3. This new protocol has the potential to be combined in vivo with quantitative assessment of both cartilage degradation and restoration in osteoarthritis.

Subjects

Subjects :
Cartilage, Articular
Models, Anatomic
MESH: Echo-Planar Imaging
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Swine
T2 mapping
Osteoarthritis
MESH: Models, Anatomic
Menisci, Tibial
030218 nuclear medicine & medical imaging
MESH: Magnetic Resonance Imaging
0302 clinical medicine
MESH: Osteoarthritis
Image Processing, Computer-Assisted
MESH: Animals
Femur
MESH: Swine
ComputingMilieux_MISCELLANEOUS
medicine.diagnostic_test
Echo-Planar Imaging
MESH: Hindlimb
General Medicine
Anatomy
MESH: Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Knee cartilage
Hindlimb
MESH: Joints
MESH: Femur
medicine.anatomical_structure
Diffusion Tensor Imaging
MESH: Models, Animal
030220 oncology & carcinogenesis
Models, Animal
MESH: Image Enhancement
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
MESH: Diffusion Tensor Imaging
Materials science
Biomedical Engineering
MESH: Imaging, Three-Dimensional
MESH: Menisci, Tibial
Biomaterials
03 medical and health sciences
Imaging, Three-Dimensional
Fractional anisotropy
medicine
Effective diffusion coefficient
Animals
[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM]
Cartilage
Magnetic resonance imaging
[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology
medicine.disease
Image Enhancement
MESH: Cartilage, Articular
MESH: Anisotropy
Anisotropy
Feasibility Studies
Joints
MESH: Feasibility Studies
[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Biomedical engineering
Diffusion MRI

Details

ISSN :
18783619 and 09592989
Volume :
23
Issue :
4
Database :
OpenAIRE
Journal :
Bio-medical materials and engineering
Accession number :
edsair.doi.dedup.....4969ab3e105b271ac8a08489b0b3e6cb
Full Text :
https://doi.org/10.3233/BME-130750⟩