Literature DB >> 24314906

Verification of measurements of lumbar spinal dimensions in T1- and T2-weighted magnetic resonance imaging sequences.

Jason Pui-Yin Cheung1, Hideki Shigematsu2, Kenneth Man-Chee Cheung3.   

Abstract

BACKGROUND CONTEXT: Magnetic resonance imaging (MRI) is commonly used to assess patients with lumbar spinal stenosis. No single MRI sequence has been shown to be superior in spinal canal measurements. There are also cost concerns for the increased clinical and research use of MRI. Using only a single sequence may lower the financial burden; however, this requires spinal canal measurements in both T1 and T2 MRI to be reliable. Evidence for this is currently lacking.
PURPOSE: The aim of this study was to determine the intra- and inter-reader reliability of MRI measurements of the lumbar spine and the reliability of measurements using T1- and T2-weighted MRI films. STUDY DESIGN/
SETTING: Retrospective study. PATIENT SAMPLE: Forty-two randomly selected patients who underwent spinal stenosis surgery. OUTCOME MEASURES: Lumbar spinal canal measurements and reliability analysis between T1- and T2-weighted MRI.
METHODS: Qualitative ratings of MRI features were performed according to previously published criteria by 2 independent readers (JP-YC, HS). Measurements in axial scan included midline anteroposterior (AP) vertebral body diameter, midvertebral body width, midline AP spinal canal diameter, midline AP dural sac diameter, spinal canal width/interpedicular distance, pedicle width (right and left), and lamina angle. Measurements in the sagittal scan included midline AP body diameter, midvertebral body height, and AP spinal canal diameter. Cronbach alpha was used to characterize intra- and inter-reader reliability for qualitative rating data. Similarly, T1 and T2 comparison also was performed in the same manner.
RESULTS: Good to excellent intra- and interobserver reliability was obtained for all measurements. Reliability analysis of all T1 and T2 measurements was excellent.
CONCLUSIONS: Either T1 or T2 images can be used for measurements of spinal canal dimensions. These findings are of importance, as not every patient undergoing preoperative MRI assessment will necessarily have both sequences performed and only a single sequence is required for research studies. Our findings are also of relevance in measurement of lumbar canal diameters.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Canal; MRI; Spinal; Stenosis; T1; T2

Mesh:

Year:  2013        PMID: 24314906     DOI: 10.1016/j.spinee.2013.08.054

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  7 in total

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Journal:  Diagnostics (Basel)       Date:  2022-06-10

2.  Feasibility of Spinal Anesthesia Placement Using Automated Interpretation of Lumbar Ultrasound Images: A Prospective Randomized Controlled Trial.

Authors:  Priyanka Singla; Adam J Dixon; Jessica L Sheeran; David Scalzo; Frank W Mauldin; Mohamed Tiouririne
Journal:  J Anesth Clin Res       Date:  2019-02-25

3.  Cost analysis comparison between conventional microsurgical decompression and full-endoscopic interlaminar decompression for lumbar spinal stenosis surgery.

Authors:  Prudence Wing Hang Cheung; Carlos King Ho Wong; Sin Ting Lau; Jason Pui Yin Cheung
Journal:  J Spine Surg       Date:  2020-12

4.  The paradoxical relationship between ligamentum flavum hypertrophy and developmental lumbar spinal stenosis.

Authors:  Prudence Wing Hang Cheung; Jason Pui Yin Cheung; Vivian Tam; Victor Yu Leong Leung; Dino Samartzis; Kenneth Man-Chee Cheung; Keith Dip-Kei Luk
Journal:  Scoliosis Spinal Disord       Date:  2016-09-05

5.  Spinal canal dimensions affect outcome of adolescent disc herniation.

Authors:  O Linkoaho; R Kivisaari; M Ahonen
Journal:  J Child Orthop       Date:  2017-10-01       Impact factor: 1.548

6.  Radiographic indices for lumbar developmental spinal stenosis.

Authors:  Jason Pui Yin Cheung; Karen Ka Man Ng; Prudence Wing Hang Cheung; Dino Samartzis; Kenneth Man Chee Cheung
Journal:  Scoliosis Spinal Disord       Date:  2017-02-20

7.  Development of a morphology-based modeling technique for tracking solid-body displacements: examining the reliability of a potential MRI-only approach for joint kinematics assessment.

Authors:  Niladri K Mahato; Stephane Montuelle; John Cotton; Susan Williams; James Thomas; Brian Clark
Journal:  BMC Med Imaging       Date:  2016-05-18       Impact factor: 1.930

  7 in total

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