Literature DB >> 20308517

A practical MRI grading system for lumbar foraminal stenosis.

Seunghun Lee1, Joon Woo Lee, Jin Sup Yeom, Ki-Jeong Kim, Hyun-Jib Kim, Soo Kyo Chung, Heung Sik Kang.   

Abstract

OBJECTIVE: This study aimed to evaluate the reproducibility of a new grading system for lumbar foraminal stenosis.
MATERIALS AND METHODS: Four grades were developed for lumbar foraminal stenosis on the basis of sagittal MRI. Grade 0 refers to the absence of foraminal stenosis; grade 1 refers to mild foraminal stenosis showing perineural fat obliteration in the two opposing directions, vertical or transverse; grade 2 refers to moderate foraminal stenosis showing perineural fat obliteration in the four directions without morphologic change, both vertical and transverse directions; and grade 3 refers to severe foraminal stenosis showing nerve root collapse or morphologic change. A total of 576 foramina in 96 patients were analyzed (from L3-L4 to L5-S1). Two experienced radiologists independently assessed the sagittal MR images. Interobserver agreement between the two radiologists and intraobserver agreement by one reader were analyzed using kappa statistics.
RESULTS: According to reader 1, grade 1 foraminal stenosis was found in 33 foramina, grade 2 in six, and grade 3 in seven. According to reader 2, grade 1 foraminal stenosis was found in 32 foramina, grade 2 in six, and grade 3 in eight. Interobserver agreement in the grading of foraminal stenosis between the two readers was found to be nearly perfect (kappa value: right L3-L4, 1.0; left L3-L4, 0.905; right L4-L5, 0.929; left L4-L5, 0.942; right L5-S1, 0.919; and left L5-S1, 0.909). In intraobserver agreement by reader 1, grade 1 foraminal stenosis was found in 34 foramina, grade 2 in eight, and grade 3 in seven. Intraobserver agreement in the grading of foraminal stenosis was also found to be nearly perfect (kappa value: right L3-L4, 0.883; left L3-L4, 1.00; right L4-L5, 0.957; left L4-L5, 0.885; right L5-S1, 0.800; and left L5-S1, 0.905).
CONCLUSION: The new grading system for foraminal stenosis of the lumbar spine showed nearly perfect interobserver and intraobserver agreement and would be helpful for clinical study and routine practice.

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Year:  2010        PMID: 20308517     DOI: 10.2214/AJR.09.2772

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  89 in total

1.  Clinical correlation of a new MR imaging method for assessing lumbar foraminal stenosis.

Authors:  H-J Park; S S Kim; S-Y Lee; N-H Park; M-H Rho; H-P Hong; H-J Kwag; S-H Kook; S-H Choi
Journal:  AJNR Am J Neuroradiol       Date:  2012-01-12       Impact factor: 3.825

2.  Evaluation of lumber nerve root compression using thin-slice thickness coronal magnetic resonance imaging: three-dimensional fat-suppressed multi-shot balanced non-steady-state free precession versus three-dimensional T1-weighted spoiled gradient-recalled echo.

Authors:  Keizo Tanitame; Nobuko Tanitame; Chihiro Tani; Masaki Ishikawa; Miyuki Takasu; Shuji Date; Keiko Otani; Kazuo Awai
Journal:  Jpn J Radiol       Date:  2011-09-29       Impact factor: 2.374

3.  Answer to the Letter to the Editor of Yin Mengchen et al. concerning "The Haleem-Botchu classification: a novel CT-based classification for lumbar foraminal stenosis" by Haleem S et al. [Eur Spine J (2020): DOI 10.1007/s00586-020-06656-5].

Authors:  Shahnawaz Haleem
Journal:  Eur Spine J       Date:  2021-01-04       Impact factor: 3.134

4.  Letter to the Editor concerning "The Haleem-Botchu classification: a novel CT-based classification for lumbar foraminal stenosis" by Haleem S et al. [Eur Spine J (2020): DOI 10.1007/s00586-020-06656-5].

Authors:  Mengchen Yin; Chongqing Xu; Wen Mo
Journal:  Eur Spine J       Date:  2021-01-03       Impact factor: 3.134

5.  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

6.  CT-guided transforaminal epidural steroid injections: do needle position and degree of foraminal stenosis affect the pattern of epidural flow?

Authors:  Nityanand Miskin; Glenn C Gaviola; Varand Ghazikhanian; Jacob C Mandell
Journal:  Skeletal Radiol       Date:  2018-06-18       Impact factor: 2.199

Review 7.  Consensus conference on core radiological parameters to describe lumbar stenosis - an initiative for structured reporting.

Authors:  Gustav Andreisek; Richard A Deyo; Jeffrey G Jarvik; Francois Porchet; Sebastian F X Winklhofer; Johann Steurer
Journal:  Eur Radiol       Date:  2014-07-31       Impact factor: 5.315

8.  Reliability and validity of a new measurement of lumbar foraminal volume using a computed tomography.

Authors:  Frédéric Khiami; Sid-Ali Aziria; Stéphanie Ragot; Hugues Pascal-Moussellard; Jean-Pierre Richer; Michel Scepi; Cyril Brèque; Caroline Hirsch
Journal:  Surg Radiol Anat       Date:  2014-06-21       Impact factor: 1.246

9.  Reliability Analysis of Deep Learning Algorithms for Reporting of Routine Lumbar MRI Scans.

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:  2020-10-29

10.  Demographic and clinical characteristics of patients with restless legs syndrome in spine clinic.

Authors:  Jin Seo Yang; Yong Jun Cho; Suk Hyung Kang; Hyuk Jai Choi
Journal:  J Korean Neurosurg Soc       Date:  2014-02-28
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