Literature DB >> 8029420

Quantification of articular cartilage in the knee with pulsed saturation transfer subtraction and fat-suppressed MR imaging: optimization and validation.

C G Peterfy1, C F van Dijke, D L Janzen, C C Glüer, R Namba, S Majumdar, P Lang, H K Genant.   

Abstract

PURPOSE: To assess the reproducibility and accuracy of volumetric quantifications of articular cartilage in the knee determined with three-dimensional (3D) magnetic resonance (MR) imaging combined with pulsed saturation transfer subtraction (STS) or T1-weighted fat suppression (FS) imaging.
MATERIALS AND METHODS: Eight osteoarthritic knees were imaged repeatedly with optimized STS and FS sequences. Cartilage volumes were determined from 3D reconstructions of FS and STS images and by means of water displacement of surgically retrieved tissue.
RESULTS: Mean over- or underestimation of cartilage volume at STS and FS imaging was 0.40 mL +/- 0.11 (standard deviation) (8.2%) and 0.31 mL +/- 0.08 (5.9%), respectively. Intraobserver reproducibility error was 0.20-0.65 mL (3.6%-6.4%) for STS and 0.21-0.58 mL (4.2%-6.4%) for FS imaging. Interobserver error was less than 0.62 mL and 7.8%.
CONCLUSION: Three-dimensional data analysis of MR images acquired with STS or FS allows accurate and reproducible volumetric quantification of articular cartilage in the knee.

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Mesh:

Year:  1994        PMID: 8029420     DOI: 10.1148/radiology.192.2.8029420

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  62 in total

1.  Bone scintigraphy in chronic knee pain: comparison with magnetic resonance imaging.

Authors:  T Boegård; O Rudling; J Dahlström; H Dirksen; I F Petersson; K Jonsson
Journal:  Ann Rheum Dis       Date:  1999-01       Impact factor: 19.103

Review 2.  The effects of exercise on human articular cartilage.

Authors:  F Eckstein; M Hudelmaier; R Putz
Journal:  J Anat       Date:  2006-04       Impact factor: 2.610

Review 3.  Abnormal biomechanics: a precursor or result of knee osteoarthritis?

Authors:  A Teichtahl; A Wluka; F M Cicuttini
Journal:  Br J Sports Med       Date:  2003-08       Impact factor: 13.800

Review 4.  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

5.  MRI of the wrist in early rheumatoid arthritis.

Authors:  C G Peterfy
Journal:  Ann Rheum Dis       Date:  2004-05       Impact factor: 19.103

6.  Osteoarthritis, magnetic resonance imaging, and biochemical markers: a one year prospective study.

Authors:  O Bruyere; J Collette; M Kothari; S Zaim; D White; H Genant; C Peterfy; N Burlet; D Ethgen; T Montague; C Dabrowski; J-Y Reginster
Journal:  Ann Rheum Dis       Date:  2006-01-05       Impact factor: 19.103

7.  Correlates of knee pain in younger subjects.

Authors:  Guangju Zhai; Flavia Cicuttini; Changhai Ding; Fiona Scott; Patrick Garnero; Graeme Jones
Journal:  Clin Rheumatol       Date:  2006-03-30       Impact factor: 2.980

8.  Semiautomated digital analysis of knee joint space width using MR images.

Authors:  Filippo Agnesi; Kimberly K Amrami; Carlo A Frigo; Kenton R Kaufman
Journal:  Skeletal Radiol       Date:  2007-01-23       Impact factor: 2.199

9.  Quantitative versus semiquantitative MR imaging of cartilage in blood-induced arthritic ankles: preliminary findings.

Authors:  Andrea S Doria; Ningning Zhang; Bjorn Lundin; Pamela Hilliard; Carina Man; Ruth Weiss; Gary Detzler; Victor Blanchette; Rahim Moineddin; Felix Eckstein; Marshall S Sussman
Journal:  Pediatr Radiol       Date:  2014-02-13

10.  Correlation between radiographically diagnosed osteophytes and magnetic resonance detected cartilage defects in the tibiofemoral joint.

Authors:  T Boegård; O Rudling; I F Petersson; K Jonsson
Journal:  Ann Rheum Dis       Date:  1998-07       Impact factor: 19.103

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