Literature DB >> 7880355

Magnetic resonance imaging (MRI) and arthroscopy in the detection of meniscal degenerations: correlation of arthroscopy and MRI with histology findings.

J Raunest1, H Hötzinger, K F Bürrig.   

Abstract

In a prospective double-blind study, the capability of magnetic resonance imaging (MRI) and arthroscopy in the detection and grading of meniscal degenerations is evaluated by correlating MRI findings and arthroscopic diagnoses with a histologic grading model. In 82.8% of our results, grading based on MRI studies corresponded with the histologic grading classification. In 12 instances a meniscal degeneration verified at light microscopy was not detected at MRI, whereas in 15 cases tomography yielded a false-positive result. The overall accuracy was calculated to be 0.93 with a specificity of 0.79 and a sensitivity of 0.96. Concerning the evaluation of meniscal degenerations, MRI provides a positive predictive value of 0.95 and a negative predictive value of 0.82. Compared with the diagnostic specificity of the anterior and posterior zones, that of the intermediate segment of the meniscus is significantly reduced (p < 0.001). At arthroscopy, meniscal degenerations were diagnosed with an overall accuracy of 38.8%, a sensitivity of 27.5%, and a specificity of 75.5%. In 80 cases of grade 3 abnormalities, five false-negative diagnoses were made initially. These results suggest that MRI offers a valuable diagnostic potential providing reliable information about the internal consistency of the meniscus complementary to diagnostic arthroscopy.

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Year:  1994        PMID: 7880355     DOI: 10.1016/s0749-8063(05)80061-1

Source DB:  PubMed          Journal:  Arthroscopy        ISSN: 0749-8063            Impact factor:   4.772


  7 in total

1.  Magnetic resonance imaging is not suitable for interpretation of meniscal status ten years after arthroscopic repair.

Authors:  Nicolas Pujol; Nicolas Tardy; Philippe Boisrenoult; Philippe Beaufils
Journal:  Int Orthop       Date:  2013-08-15       Impact factor: 3.075

2.  [MALDI mass spectrometry of the meniscus. Objectification of morphological findings].

Authors:  J Petzold; R Casadonte; M Otto; M Kriegsmann; M Granrath; A Baltzer; J Vogel; P Drees; S Deininger; M Becker; J Kriegsmann
Journal:  Z Rheumatol       Date:  2015-06       Impact factor: 1.372

3.  Macroscopic and histopathologic analysis of human knee menisci in aging and osteoarthritis.

Authors:  C Pauli; S P Grogan; S Patil; S Otsuki; A Hasegawa; J Koziol; M K Lotz; D D D'Lima
Journal:  Osteoarthritis Cartilage       Date:  2011-06-01       Impact factor: 6.576

4.  Meniscal tear and extrusion are strongly associated with progression of symptomatic knee osteoarthritis as assessed by quantitative magnetic resonance imaging.

Authors:  M-J Berthiaume; J-P Raynauld; J Martel-Pelletier; F Labonté; G Beaudoin; D A Bloch; D Choquette; B Haraoui; R D Altman; M Hochberg; J M Meyer; G A Cline; J-P Pelletier
Journal:  Ann Rheum Dis       Date:  2004-09-16       Impact factor: 19.103

5.  Analysis of Gene Expression and Ultrastructure of Stifle Menisci from Juvenile and Adult Pigs.

Authors:  Michael Kreinest; Gregor Reisig; Philipp Ströbel; Stefan Fickert; Joachim Brade; Gunther Wennemuth; Peter Lipp; Markus L Schwarz
Journal:  Comp Med       Date:  2016-02       Impact factor: 0.982

6.  A Porcine Animal Model for Early Meniscal Degeneration - Analysis of Histology, Gene Expression and Magnetic Resonance Imaging Six Months after Resection of the Anterior Cruciate Ligament.

Authors:  Michael Kreinest; Gregor Reisig; Philipp Ströbel; Dietmar Dinter; Ulrike Attenberger; Peter Lipp; Markus Schwarz
Journal:  PLoS One       Date:  2016-07-19       Impact factor: 3.240

7.  Meniscus surface texture is associated with degenerative changes in biological and biomechanical properties.

Authors:  Shunya Otani; Takashi Kanamoto; Shohei Oyama; Satoshi Yamakawa; Wen Shi; Ryo Miyazaki; Masaharu Aihara; Shiro Oka; Sanae Kuroda; Tsuyoshi Nakai; Keisuke Takenaka; Yuji Sato; Masahiro Tsukamoto; Akira Tsujii; Kosuke Ebina; Seiji Okada; Ken Nakata
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

  7 in total

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