Literature DB >> 24573778

MRI evaluation of lumbar spinal stenosis: is a rapid visual assessment as good as area measurement?

Greger Lønne1, Bent Ødegård, Lars Gunnar Johnsen, Tore K Solberg, Kjell Arne Kvistad, Øystein P Nygaard.   

Abstract

BACKGROUND: Lumbar spinal stenosis (LSS) is commonly assessed on MRI by measuring dural sac cross-sectional area (DSCA). A new method, morphological grading A-D, has recently been introduced as an alternative method.
OBJECTIVE: The aim of this study is to compare these two different methods for assessing LSS on MRI and study their reliability and intercorrelation.
METHODS: On pretreatment MRI of 84 patients, two experienced radiologists independently classified level L2/L3, L3/L4 and L4/L5 as no, relative or significant stenosis using both methods. Agreement was analyzed by weighted Kappa. The correlation between the two methods was analysed using Spearman correlation, and visualized in a box plot.
RESULTS: The interobserver agreement (95 % CI) was 0.69 (0.61-0.77) and 0.65 (0.56-0.74), respectively. The intraobserver agreements for DSCA were 0.77 (0.60-0.74) and 0.80 (0.66-0.93). On morphological grading A-D it was 0.78 (0.65-0.92) and 0.81 (0.68-0.94). The correlation coefficient between the two methods was 0.85 (p < 0.001). Grades C and D were under the limit value for significant stenosis using the DSCA.
CONCLUSIONS: The study shows that the inter- and intraobserver agreements of DSCA and morphological grading A-D were acceptable and their intercorrelation is strong. Both methods may be used in the MRI evaluation of LSS.

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Year:  2014        PMID: 24573778     DOI: 10.1007/s00586-014-3248-4

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  24 in total

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Journal:  Invest Radiol       Date:  1991-01       Impact factor: 6.016

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3.  Abnormal magnetic-resonance scans of the cervical spine in asymptomatic subjects. A prospective investigation.

Authors:  S D Boden; P R McCowin; D O Davis; T S Dina; A S Mark; S Wiesel
Journal:  J Bone Joint Surg Am       Date:  1990-09       Impact factor: 5.284

4.  Is spinal stenosis assessment dependent on slice orientation? A magnetic resonance imaging study.

Authors:  Lucy Henderson; Gerit Kulik; Delphine Richarme; Nicolas Theumann; Constantin Schizas
Journal:  Eur Spine J       Date:  2011-06-08       Impact factor: 3.134

Review 5.  Magnetic resonance imaging for diagnosing lumbar spinal pathology in adult patients with low back pain or sciatica: a diagnostic systematic review.

Authors:  Merel Wassenaar; Rogier M van Rijn; Maurits W van Tulder; Arianne P Verhagen; Danielle A W M van der Windt; Bart W Koes; Michiel R de Boer; Abida Z Ginai; Raymond W J G Ostelo
Journal:  Eur Spine J       Date:  2011-09-16       Impact factor: 3.134

6.  Qualitative grading of severity of lumbar spinal stenosis based on the morphology of the dural sac on magnetic resonance images.

Authors:  Constantin Schizas; Nicolas Theumann; Alexandre Burn; Rosamond Tansey; Douglas Wardlaw; Francis W Smith; Gerit Kulik
Journal:  Spine (Phila Pa 1976)       Date:  2010-10-01       Impact factor: 3.468

7.  Abnormal magnetic-resonance scans of the lumbar spine in asymptomatic subjects. A prospective investigation.

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Review 8.  Lumbar spinal stenosis.

Authors:  Stephane Genevay; Steven J Atlas
Journal:  Best Pract Res Clin Rheumatol       Date:  2010-04       Impact factor: 4.098

Review 9.  Quantitative radiologic criteria for the diagnosis of lumbar spinal stenosis: a systematic literature review.

Authors:  Johann Steurer; Simon Roner; Ralph Gnannt; Juerg Hodler
Journal:  BMC Musculoskelet Disord       Date:  2011-07-28       Impact factor: 2.362

10.  Correlation between disability and MRI findings in lumbar spinal stenosis: a prospective study of 109 patients operated on by decompression.

Authors:  Freyr G Sigmundsson; Xiao P Kang; Bo Jönsson; Björn Strömqvist
Journal:  Acta Orthop       Date:  2011-03-24       Impact factor: 3.717

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  17 in total

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Authors:  Michel Benoist
Journal:  Eur Spine J       Date:  2014-12-06       Impact factor: 3.134

2.  Feasibility of Deep Learning Algorithms for Reporting in Routine Spine Magnetic Resonance Imaging.

Authors:  Kai-Uwe LewandrowskI; Narendran Muraleedharan; Steven Allen Eddy; Vikram Sobti; Brian D Reece; Jorge Felipe Ramírez León; Sandeep Shah
Journal:  Int J Spine Surg       Date:  2020-12

3.  Reversibility of nerve root sedimentation sign in lumbar spinal stenosis patients after decompression surgery.

Authors:  Christian Barz; Markus Melloh; Lukas P Staub; Sarah J Lord; Harry R Merk; Thomas Barz
Journal:  Eur Spine J       Date:  2017-02-04       Impact factor: 3.134

4.  Clinical symptoms of lumbar spinal stenosis associated with morphological parameters on magnetic resonance images.

Authors:  Young Uk Kim; Yu-Gyeong Kong; Jonghyuk Lee; Yuseon Cheong; Se hun Kim; Hyun Kyu Kim; Jun Young Park; Jeong Hun Suh
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5.  Degenerative lumbar spinal canal stenosis: intra- and inter-reader agreement for magnetic resonance imaging parameters.

Authors:  Sebastian Winklhofer; Ulrike Held; Jakob M Burgstaller; Tim Finkenstaedt; Nicolae Bolog; Nils Ulrich; Johann Steurer; Gustav Andreisek; Filippo Del Grande
Journal:  Eur Spine J       Date:  2016-06-22       Impact factor: 3.134

6.  Radiographic assessment of degenerative lumbar spinal stenosis: is MRI superior to CT?

Authors:  Khalid Alsaleh; Derek Ho; M Patricia Rosas-Arellano; Tanya Charyk Stewart; Kevin Roger Gurr; Christopher Stewart Bailey
Journal:  Eur Spine J       Date:  2016-09-23       Impact factor: 3.134

7.  Endoscopic Transforaminal Lumbar Interbody Fusion With a Single Oblique PEEK Cage and Posterior Supplemental Fixation.

Authors:  Álvaro Dowling; Kai-Uwe Lewandrowski
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8.  Dural sac cross-sectional area and morphological grade show significant associations with patient-rated outcome of surgery for lumbar central spinal stenosis.

Authors:  A F Mannion; T F Fekete; D Pacifico; D O'Riordan; S Nauer; M von Büren; C Schizas
Journal:  Eur Spine J       Date:  2017-08-30       Impact factor: 3.134

9.  [Short-term effectiveness of percutaneous endoscopic transforaminal bilateral decompression for severe central lumbar spinal stenosis].

Authors:  Bin Zhang; Qingquan Kong; Jing Yang; Pin Feng; Junsong Ma; Junlin Liu
Journal:  Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi       Date:  2019-11-15

10.  Surgeon Reliability for the Assessment of Lumbar Spinal Stenosis on MRI: The Impact of Surgeon Experience.

Authors:  Satyajit V Marawar; Ian A Madom; Mark Palumbo; Richard A Tallarico; Nathaniel R Ordway; Umesh Metkar; Dongliang Wang; Adam Green; William F Lavelle
Journal:  Int J Spine Surg       Date:  2017-12-05
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