Literature DB >> 9309611

A non-invasive technique for 3-dimensional assessment of articular cartilage thickness based on MRI. Part 2: Validation using CT arthrography.

M Haubner1, F Eckstein, M Schnier, A Lösch, H Sittek, C Becker, H Kolem, M Reiser, K H Englmeier.   

Abstract

Established methods for the measurement of articular cartilage thickness are invasive and cannot be sequentially applied in living subjects. In the present study, the distribution of cartilage thickness throughout entire joint surfaces was determined from MR images obtained with a fat-suppressed gradient-echo sequence at a resolution of 0.31 x 0.31 x 2.00 mm3, and compared to that derived from CT arthrography. A minimal distance algorithm was employed to produce 3D cartilage thickness maps of seven cadaveric human knee joints. The mean amount of deviation of the cartilage volumes was 5.6% (+/- 4.6), statistical analysis showing that there was high agreement between the two methods (r = 0.995, slope = 1.037, y-intercept = -90.5 mm3). The 3D thickness maps yielded a striking agreement between the two methods, the maximum values generally yielding a deviation of none or one thickness interval of 0.5 mm. This investigation shows that accurate 3D assessment of articular cartilage thickness can be performed with MRI, this technique having the advantage that it is suitable for investigating living subjects.

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Year:  1997        PMID: 9309611     DOI: 10.1016/s0730-725x(97)00011-8

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  11 in total

Review 1.  Therapeutic targets in osteoarthritis: from today to tomorrow with new imaging technology.

Authors:  J-P Pelletier; J Martel-Pelletier
Journal:  Ann Rheum Dis       Date:  2003-11       Impact factor: 19.103

2.  High resolution micro arthrography of hard and soft tissues in a murine model.

Authors:  X I Gu; P E Palacio-Mancheno; D J Leong; Y A Borisov; E Williams; N Maldonado; D Laudier; R J Majeska; M B Schaffler; H B Sun; L Cardoso
Journal:  Osteoarthritis Cartilage       Date:  2012-05-18       Impact factor: 6.576

3.  Validation of watershed-based segmentation of the cartilage surface from sequential CT arthrography scans.

Authors:  Mary E Hall; Marianne S Black; Garry E Gold; Marc E Levenston
Journal:  Quant Imaging Med Surg       Date:  2022-01

4.  Quantitative assessment of articular cartilage morphology via EPIC-microCT.

Authors:  L Xie; A S P Lin; M E Levenston; R E Guldberg
Journal:  Osteoarthritis Cartilage       Date:  2008-09-11       Impact factor: 6.576

5.  [MRI in the follow-up of matrix-supported autologous chondrocyte transplantation (MACI) and microfracture].

Authors:  G Bachmann; E Basad; D Lommel; J Steinmeyer
Journal:  Radiologe       Date:  2004-08       Impact factor: 0.635

6.  Cartilage thickness: factors influencing multidetector CT measurements in a phantom study.

Authors:  Andrew E Anderson; Benjamin J Ellis; Christopher L Peters; Jeffrey A Weiss
Journal:  Radiology       Date:  2008-01       Impact factor: 11.105

Review 7.  Mechanoadaptation: articular cartilage through thick and thin.

Authors:  Tonia L Vincent; Angus K T Wann
Journal:  J Physiol       Date:  2018-07-29       Impact factor: 5.182

8.  Accuracy verification of magnetic resonance imaging (MRI) technology for lower-limb prosthetic research: utilising animal soft tissue specimen and common socket casting materials.

Authors:  Mohammad Reza Safari; Philip Rowe; Arjan Buis
Journal:  ScientificWorldJournal       Date:  2012-04-24

9.  Tibiofemoral and patellofemoral joint 3D-kinematics in patients with posterior cruciate ligament deficiency compared to healthy volunteers.

Authors:  Ruediger von Eisenhart-Rothe; Ulrich Lenze; Stefan Hinterwimmer; Florian Pohlig; Heiko Graichen; Thomas Stein; Frederic Welsch; Rainer Burgkart
Journal:  BMC Musculoskelet Disord       Date:  2012-11-26       Impact factor: 2.362

10.  Medical image visual appearance improvement using bihistogram Bezier curve contrast enhancement: data from the Osteoarthritis Initiative.

Authors:  Hong-Seng Gan; Tan Tian Swee; Ahmad Helmy Abdul Karim; Khairil Amir Sayuti; Mohammed Rafiq Abdul Kadir; Weng-Kit Tham; Liang-Xuan Wong; Kashif T Chaudhary; Jalil Ali; Preecha P Yupapin
Journal:  ScientificWorldJournal       Date:  2014-05-20
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