BioMed Research International · 2018 · 26 citations · 42 references
MedicineBioengineeringRadiologyBiomedical ImagingDiagnostic ImagingDiagnostic RadiologyArticular Cartilage StructureCartilage BiomechanicsCartilage DegenerationCartilage ImagingImaging AssessmentMagnetic Resonance ImagingCartilage Degeneration ImagingCartilage MicrostructureCartilage Morphology AssessmentCartilage QuantificationCartilage Structural ImagingMultiparametric ImagingMultiparametric Magnetic Resonance Imaging (Mri)Structural Mri
Quantitative magnetic resonance imaging (qMRI) is a promising approach to detect early cartilage degeneration. However, there is no consensus on which cartilage component contributes to the tissue’s qMRI signal properties. <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mi>T</mml:mi><mml:mn fontstyle="italic">1</mml:mn></mml:math>, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mi>T</mml:mi><mml:mn fontstyle="italic">1</mml:mn><mml:mi>ρ</mml:mi></mml:math>, and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M3"><mml:mi>T</mml:mi><mml:msup><mml:mrow><mml:mn fontstyle="italic">2</mml:mn></mml:mrow><mml:mrow><mml:mo>⁎</mml:mo></mml:mrow></mml:msup></mml:math> maps of cartilage samples (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M4"><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn fontstyle="italic">8</mml:mn></mml:math>) were generated on a clinical 3.0-T MRI system. All samples underwent histological assessment to ensure structural integrity. For cross-referencing, a discretized numerical model capturing distinct compositional and structural tissue properties, that is, fluid fraction (FF), proteoglycan (PG) and collagen (CO) content and collagen fiber orientation (CFO), was implemented. In a pixel-wise and region-specific manner (central versus peripheral region), qMRI parameter values and modelled tissue parameters were correlated and quantified in terms of Spearman’s correlation coefficient <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M5"><mml:mi>ρ</mml:mi><mml:mi>s</mml:mi></mml:math>. Significant correlations were found between modelled compositional parameters and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M6"><mml:mi>T</mml:mi><mml:mn fontstyle="italic">1</mml:mn></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M7"><mml:mi>T</mml:mi><mml:msup><mml:mrow><mml:mn fontstyle="italic">2</mml:mn></mml:mrow><mml:mrow><mml:mo>⁎</mml:mo></mml:mrow></mml:msup></mml:math>, in particular in the central region (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M8"><mml:mi>T</mml:mi><mml:mn fontstyle="italic">1</mml:mn></mml:math>: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M9"><mml:mi>ρ</mml:mi><mml:mi>s</mml:mi><mml:mo>≥</mml:mo><mml:mn fontstyle="italic">0.7</mml:mn></mml:math> [FF, CFO], <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M10"><mml:mi>ρ</mml:mi><mml:mi>s</mml:mi><mml:mo>≤</mml:mo><mml:mo>-</mml:mo><mml:mn fontstyle="italic">0.8</mml:mn></mml:math> [CO, PG]; <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M11"><mml:mi>T</mml:mi><mml:msup><mml:mrow><mml:mn fontstyle="italic">2</mml:mn></mml:mrow><mml:mrow><mml:mo>⁎</mml:mo></mml:mrow></mml:msup></mml:math>: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M12"><mml:mi>ρ</mml:mi><mml:mi>s</mml:mi><mml:mo>≥</mml:mo><mml:mn fontstyle="italic">0.67</mml:mn></mml:math> [FF, CFO], <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M13"><mml:mi>ρ</mml:mi><mml:mi>s</mml:mi><mml:mo>≤</mml:mo><mml:mo>-</mml:mo><mml:mn fontstyle="italic">0.71</mml:mn></mml:math> [CO, PG]). For <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M14"><mml:mi>T</mml:mi><mml:mn fontstyle="italic">1</mml:mn><mml:mi>ρ</mml:mi></mml:math>, correlations were considerably weaker and fewer <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M15"><mml:mo stretchy="false">(</mml:mo><mml:mn fontstyle="italic">0.16</mml:mn><mml:mo>≤</mml:mo><mml:mi>ρ</mml:mi><mml:mi>s</mml:mi><mml:mo>≤</mml:mo><mml:mo>-</mml:mo><mml:mn fontstyle="italic">0.15</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math>. QMRI parameters are characterized in their biophysical properties and their sensitivity and specificity profiles in a basic scientific context. Although none of these is specific towards any particular cartilage constituent, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M16"><mml:mi>T</mml:mi><mml:mn fontstyle="italic">1</mml:mn></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M17"><mml:mi>T</mml:mi><mml:msup><mml:mrow><mml:mn fontstyle="italic">2</mml:mn></mml:mrow><mml:mrow><mml:mo>⁎</mml:mo></mml:mrow></mml:msup></mml:math> reflect actual tissue compositional features more closely than <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M18"><mml:mi>T</mml:mi><mml:mn fontstyle="italic">1</mml:mn><mml:mi>ρ</mml:mi></mml:math>.
42
Shaw Akizuki, Van C. Mow, Francisco J. Müller et al. · Journal of Orthopaedic Research® · 1986 · 500 citations
In vivo T1ρ and T2 mapping of articular cartilage in osteoarthritis of the knee using 3 T MRI
X. Li, C. Benjamin, T.M. Link et al. · Osteoarthritis and Cartilage · 2007 · 486 citations · Full text