Optimization and validation of a rapid high-resolution T1-w 3D FLASH water excitation MRI sequence for the quantitative assessment of articular cartilage volume and thickness

Gläser, Christian; Faber, Svea; Eckstein, F.; Fischer, Harald; Springer, Verena; Heudorfer, L; Stammberger, Tobias; Englmeier, Karl-Hans; Reiser, Maximilian

doi:10.1016/s0730-725x(01)00292-2

Cited by 84 publications

(65 citation statements)

References 41 publications

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“…Imaging was performed with a 1.5 T scanner (Magnetom Vision, Siemens, Erlangen, Germany), a circularly polarized knee-coil, and with a fat-suppressed gradient echo sequence (fast low angle shot ϭ FLASH) with selective water excitation (21-24) (repetition time ϭ 17.2 ms, echo time ϭ 6.6 ms, flip angle ϭ 20°; NEX ϭ 1). This sequence has been previously shown to produce consistent data on cartilage volume and thickness with those obtained from conventional fat-suppressed gradient-echo sequences with a prepulse (22) and with data obtained by A-mode ultrasound, CT arthrography (23), and surgically removed tissue in osteoarthritic patients (24). Sagittal datasets of the knee were acquired (Fig.…”

Section: Study Population and Instrumentationmentioning

confidence: 73%

Surface size, curvature analysis, and assessment of knee joint incongruity with MRI in vivo

Hohe

Ateshian

Reiser

et al. 2002

Magnetic Resonance in Med

120

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The purpose of this study was to develop an MR-based technique for quantitative analysis of joint surface size, surface curvature, and joint incongruity and to assess its reproducibility under in vivo imaging conditions. The surface areas were determined after 3D reconstruction of the joint by triangulation and the incongruity by Gaussian curvature analysis. The precision was tested by analyzing four replicated MRI datasets of human knees in 14 individuals. The algorithms were shown to produce accurate data in geometric test objects. The interscan precision was <4% (CV%) for surface area, 2.9 -5.

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Section: Study Population and Instrumentationmentioning

confidence: 73%

Surface size, curvature analysis, and assessment of knee joint incongruity with MRI in vivo

Hohe

Ateshian

Reiser

et al. 2002

Magnetic Resonance in Med

120

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“…In the present study only the right knee joint was investigated, based on the observations that side differences in cartilage morphology are small (0 -6% for the various parameters) and that side dominance of the limbs does not significantly influence side differences in knee cartilage macromorphology (Eckstein et al, 2002b). Previous studies have shown that high-resolution gradient-echo sequences with fat-suppression or water excitation can provide valid information on cartilage volume and thickness (Eckstein et al, 1996(Eckstein et al, , 1998bGraichen et al, 2000;Burgkart et al, 2001;Glaser et al, 2001). For the protocol used in the current work, precision errors have been shown to range between 2% and 6% for cartilage volume, thickness, and size of the bone-cartilage interface area in the various compartments of the knee Eckstein et al, 2001b;Hohe et al, 2002).…”

Section: Discussionmentioning

confidence: 99%

“…A previously validated gradient-echo sequence (fast low-angle shot (FLASH-3D); repetition time (TR) ϭ 17.2 msec, echo time (TE) ϭ 6.6 msec, flip angle ϭ 20°) with selective water excitation (Graichen et al, 2000;Glaser et al, 2001) was used to acquire sagittal data-sets of the right knee (in-plane resolution ϭ 0.31 mm; section thickness ϭ 1.5 mm, acquisition time ϭ 9 min 15 sec) (Fig. 1a).…”

Section: Methodsmentioning

confidence: 99%

Correlation of knee‐joint cartilage morphology with muscle cross‐sectional areas vs. anthropometric variables

Hudelmaier

Gläser

Englmeier³

et al. 2003

Anat. Rec.

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We tested the hypothesis that muscle cross-sectional areas (MCSAs) are more highly (and independently) correlated with cartilage morphology than are body height and weight, and that the physiological reduction of cartilage thickness with aging is associated with a proportional, age-dependent decrease in MCSAs. In 59 asymptomatic individuals (23-75 years old), morphological parameters of the knee cartilages (volume, thickness, and bonecartilage interface area), and MCSAs were determined from magnetic resonance imaging (MRI) data. Multiple regression models were used to calculate which proportion of the variability of the normal cartilage morphology can be predicted based on independent variables. MCSAs and body height and weight showed correlation coefficients of ϩ0.66, ϩ0.60, and ϩ0.25, respectively, with knee-joint cartilage volume. The correlation coefficients with cartilage thickness were ϩ0.44, ϩ0.35, and ϩ0.24, respectively. Age accounted for a significant (P Ͻ 0.01) reduction in cartilage thickness, but there was no proportional change of MCSAs. Approximately 76% of the variability of the knee cartilage volume could be predicted from independent variables in a multiple regression model with MCSAs contributing significant, independent information. In conclusion, we find that MCSAs are more highly correlated with cartilage morphology than are body height and weight. The significant decrease in cartilage volume and thickness with age is not associated with a proportional decrease in MCSAs. Anat Rec Part A 270A: 175-184, 2003.

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“…They found only small systematic differences between them and concluded that it is feasible to perform multi-center studies with different scanners. Glaser et al (75) reported systematic (albeit small) offsets between fat-suppressed and water excitation FLASH sequences (Table 2) and Hudelmaier et al (123) offsets between different scanners from the same vendor and for different implementations of an SPGR/FLASH sequence on the same magnet. Although this does not limit the ability to compare longitudinal changes of cartilage morphology between different participants at different sites (as long as the same scanner and sequence is used for Figure 6.…”

Section: Technical Accuracy and Precision Of Measurementsmentioning

confidence: 99%

“…This is accomplished by either spectral fat saturation using a prepulse tuned to the resonant frequency of fat (40,(71)(72)(73) or by frequency-selective water excitation (74)(75)(76)(77)(78). Acquisition times are generally shorter for selective water-excitation protocols.…”

Section: Quantitative Measurementsmentioning

confidence: 99%

Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis

2006

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Magnetic resonance imaging (MRI) and quantitative image analysis technology has recently started to generate a great wealth of quantitative information on articular cartilage and bone physiology, pathophysiology and degenerative changes in osteoarthritis. This paper reviews semiquantitative scoring of changes of articular tissues (e.g. WORMS ¼ whole-organ MRI scoring or KOSS ¼ knee osteoarthritis scoring system), quantification of cartilage morphology (e.g. volume and thickness), quantitative measurements of cartilage composition (e.g. T 2 , T 1rho , T 1Gd ¼ dGEMRIC index) and quantitative measurement of bone structure (e.g. app. BV/TV, app. TbTh, app. Tb.N, app. Tb.Sp) in osteoarthritis. For each of these fields we describe the hardware and MRI sequences available, the image analysis systems and techniques used to derive semiquantitative and quantitative parameters, the technical accuracy and precision of the measurements reported to date and current results from cross-sectional and longitudinal studies in osteoarthritis. Moreover, the paper summarizes studies that have compared MRI-based measurements with radiography and discusses future perspectives of quantitative MRI in osteoarthritis. In summary, the above methodologies show great promise for elucidating the pathophysiology of various tissues and identifying risk factors of osteoarthritis, for developing structure modifying drugs (DMOADs) and for combating osteoarthritis with new and better therapy. Copyright # 2006 John Wiley & Sons, Ltd.KEYWORDS: osteoarthritis; joint; cartilage; bone; magnetic resonance imaging; knee; image analysis; disease-modifying drugs RATIONALE FOR QUANTITATIVE MRI OF CARTILAGE AND BONE IN OSTEOARTHRITISThe health and integrity of diarthrodial (synovial) joints are prerequisites for pain-free movement and have a major impact on the quality of life. However, the population of individuals above the age of 65 years is rapidly growing and 70% of the women and 60% of the men aged 65 years or older suffer from degenerative joint disease [¼ osteoarthritis (OA)] (1-7). OA has been defined by the American College of Rheumatology (ACR) as a 'heterogeneous group of conditions that leads to joint symptoms and signs which are associated with defective integrity of articular cartilage, in addition to related changes in the underlying bone at the joint margins'. It remains an open question whether the initial changes take place in cartilage or bone or other articular tissues and, more importantly, what the causal relationship between these changes is (5-19). Also, within each NMR IN BIOMEDICINE NMR Biomed. 2006; 19: 822-854 Published online in Wiley InterScience (www.interscience.wiley.com). DOI:10.1002/nbm.1063 narrowing; JSW, joint space width; K, knee; KLG, Kellgren Lawrence grade; KOSS, knee osteoarthritis scoring system; LF, lateral femoral condyle; LT, lateral tibia; MRI, magnetic resonance imaging; MF, medial femoral condyle; MT, medial tibia; OA, osteoarthritis; OAI, Osteoarthritis Initiative; P, patella; PGs, proteoglycans;...

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Optimization and validation of a rapid high-resolution T1-w 3D FLASH water excitation MRI sequence for the quantitative assessment of articular cartilage volume and thickness

Cited by 84 publications

References 41 publications

Surface size, curvature analysis, and assessment of knee joint incongruity with MRI in vivo

Surface size, curvature analysis, and assessment of knee joint incongruity with MRI in vivo

Correlation of knee‐joint cartilage morphology with muscle cross‐sectional areas vs. anthropometric variables

Quantitative MRI of cartilage and bone: degenerative changes in osteoarthritis

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