Literature DB >> 36109122

Evaluation of 2 Novel Ratio-Based Metrics for Lumbar Spinal Stenosis.

U U Bharadwaj1, A R Ben-Natan2, J Huang2, V Pedoia3, D Chou2, S Majumdar3, T M Link3, C T Chin3.   

Abstract

BACKGROUND AND
PURPOSE: Quantitative metrics of the dural sac such as the cross-sectional area are commonly used to evaluate central canal stenosis. The aim of this study was to analyze 2 new metrics to measure spinal stenosis on the basis of the ratio between the dural sac and disc cross-sectional areas (DDRCA) and the dural sac and disc anterior-posterior diameters (DDRDIA) and compare them with established quantitative metrics of the dural sac.
MATERIALS AND METHODS: T2-weighted axial MR images (n = 260 patients) were retrospectively evaluated, graded for central canal stenosis as normal (no stenosis), mild, moderate, or severe from L1/L2 through L5/S1 with 1 grade per spinal level and annotated to measure the DDRCA and DDRDIA. Thresholds were obtained using a decision tree classifier on a subset of patients (n = 130) and evaluated on the remaining patients (n = 130) for accuracy and consistency across demographics, anatomic variation, and clinical outcomes.
RESULTS: DDRCA and DDRDIA had areas under the receiver operating characteristic curve of 98.6 (97.4-99.3) and 98.0 (96.7-98.9) compared with dural sac cross-sectional area at 96.5 (95.0-97.7) for binary classification. DDRDIA and DDRCA had κ scores of 0.75 (0.71-0.79) and 0.80 (0.75-0.83) compared with dural sac cross-sectional area at 0.62 (0.57-0.66) for multigrade classification. No significant differences (P > .1) in the area under the receiver operating characteristic curve were observed for the DDRDIA across variations in the body mass index. The DDRDIA also had the highest area under the receiver operating characteristic curve among symptomatic patients (visual analog scale ≥ 7) or patients who underwent surgery.
CONCLUSIONS: Ratio-based metrics (DDRDIA and DDRCA) are accurate and robust to anatomic and demographic variability compared with quantitative metrics of the dural sac and better correlated with symptomatology and surgical outcomes.
© 2022 by American Journal of Neuroradiology.

Entities:  

Year:  2022        PMID: 36109122      PMCID: PMC9575539          DOI: 10.3174/ajnr.A7638

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   4.966


  42 in total

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2.  United States trends in lumbar fusion surgery for degenerative conditions.

Authors:  Richard A Deyo; Darryl T Gray; William Kreuter; Sohail Mirza; Brook I Martin
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Review 3.  Preoperative predictors for postoperative clinical outcome in lumbar spinal stenosis: systematic review.

Authors:  Timo J Aalto; Antti Malmivaara; Francisco Kovacs; Arto Herno; Markku Alen; Liisa Salmi; Heikki Kröger; Juan Andrade; Rosa Jiménez; Antti Tapaninaho; Veli Turunen; Sakari Savolainen; Olavi Airaksinen
Journal:  Spine (Phila Pa 1976)       Date:  2006-08-15       Impact factor: 3.468

4.  A new grading system of lumbar central canal stenosis on MRI: an easy and reliable method.

Authors:  Guen Young Lee; Young Lee Guen; Joon Woo Lee; Woo Lee Joon; Hee Seok Choi; Seok Choi Hee; Kyoung-Jin Oh; Oh Kyoung-Jin; Heung Sik Kang; Sik Kang Heung
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Review 6.  Lumbar Spinal Stenosis: How Is It Classified?

Authors:  Gregory D Schroeder; Mark F Kurd; Alexander R Vaccaro
Journal:  J Am Acad Orthop Surg       Date:  2016-12       Impact factor: 3.020

7.  A prospective and consecutive study of surgically treated lumbar spinal stenosis. Part I: Clinical features related to radiographic findings.

Authors:  B Jönsson; M Annertz; C Sjöberg; B Strömqvist
Journal:  Spine (Phila Pa 1976)       Date:  1997-12-15       Impact factor: 3.468

8.  Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort.

Authors:  Florian A Huber; Shanon Stutz; Ilaria Vittoria de Martini; Manoj Mannil; Anton S Becker; Sebastian Winklhofer; Jakob M Burgstaller; Roman Guggenberger
Journal:  Eur J Radiol       Date:  2019-02-19       Impact factor: 3.528

9.  Cervical spinal stenosis: determination with vertebral body ratio method.

Authors:  H Pavlov; J S Torg; B Robie; C Jahre
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Review 10.  SciPy 1.0: fundamental algorithms for scientific computing in Python.

Authors:  Pauli Virtanen; Ralf Gommers; Travis E Oliphant; Matt Haberland; Tyler Reddy; David Cournapeau; Evgeni Burovski; Pearu Peterson; Warren Weckesser; Jonathan Bright; Stéfan J van der Walt; Matthew Brett; Joshua Wilson; K Jarrod Millman; Nikolay Mayorov; Andrew R J Nelson; Eric Jones; Robert Kern; Eric Larson; C J Carey; İlhan Polat; Yu Feng; Eric W Moore; Jake VanderPlas; Denis Laxalde; Josef Perktold; Robert Cimrman; Ian Henriksen; E A Quintero; Charles R Harris; Anne M Archibald; Antônio H Ribeiro; Fabian Pedregosa; Paul van Mulbregt
Journal:  Nat Methods       Date:  2020-02-03       Impact factor: 28.547

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