Literature DB >> 8153830

Digital assessment of MRI for lumbar disc desiccation. A comparison of digital versus subjective assessments and digital intensity profiles versus discogram and macroanatomic findings.

T Videman1, P Nummi, M C Battié, K Gill.   

Abstract

During magnetic resonance imaging, a vast amount of digital data on anatomic structures is translated into images, which are then assessed subjectively. The development of an objective, sensitive method to directly assess the digital data would have clear benefits, particularly for clinical research on disc degeneration. The study goals were to develop a method of digital assessment of disc desiccation and to compare digital signal intensity profiles with discographic patterns and macroanatomic findings. Proton density-weighted MRIs were obtained from 45 males (9-77 years) and digital analysis was done with a freely selectable region of interest facility. The adjacent cerebrospinal fluid (CSF) was used as a reference for disc signal-intensity scores, and the disc to CSF-intensity ratio provided "adjusted digital scores." The CSF-adjusted digital method yielded reproducible scores that correlated with the subjective assessments. However, the CSF-adjusted digital scores were more sensitive than the subjective assessments, identifying findings that otherwise were undetected in younger subjects. Additionally, 10 cadaveric spines were evaluated using MRI with T2 and proton density-weighted sequences, discography, and macroanatomic dissection. MRI disc-intensity profiles were determined along a midsagittal line drawn through the disc. The profile of the digital scores along this line was then compared with discograms and macroanatomic sections. In all cases of disc degeneration on discograms, changes were present in the intensity profile. Based on both the living subjects and the cadaveric specimens, the digital assessments and disc intensity profiles appear to demonstrate disc degeneration, particularly in early stages.

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Year:  1994        PMID: 8153830     DOI: 10.1097/00007632-199401001-00014

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  7 in total

Review 1.  Computer-aided diagnosis of lumbar disc pathology from clinical lower spine MRI.

Authors:  Raja' S Alomari; Jason J Corso; Vipin Chaudhary; Gurmeet Dhillon
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-09-22       Impact factor: 2.924

2.  Is it appropriate to measure age-related lumbar disc degeneration on the mid-sagittal MR image? A quantitative image study.

Authors:  Xiaojian Hu; Mingjian Chen; Jianjiang Pan; Liang Liang; Yue Wang
Journal:  Eur Spine J       Date:  2017-11-17       Impact factor: 3.134

3.  Quantitative MRI analysis of the surface area, signal intensity and MRI index of the central bright area for the evaluation of early adjacent disc degeneration after lumbar fusion.

Authors:  Shun-Wu Fan; Zhi-Jie Zhou; Zhi-Jun Hu; Xiang-Qian Fang; Feng-Dong Zhao; Jian Zhang
Journal:  Eur Spine J       Date:  2012-04-20       Impact factor: 3.134

4.  Lumbar Disc Degenerative Disorder among Patients Undergoing Magnetic Resonance Imaging in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Authors:  Binit Dev; Ashutosh Shah; Aashutosh Chaudhary; Ajay Kumar Yadav; Subash Chandra Jha; Arun Kumar Chaudhary
Journal:  JNMA J Nepal Med Assoc       Date:  2022-05-05       Impact factor: 0.556

5.  The intervertebral disc during growth: Signal intensity changes on magnetic resonance imaging and their relevance to low back pain.

Authors:  Teija Lund; Dietrich Schlenzka; Martina Lohman; Leena Ristolainen; Hannu Kautiainen; Erkko Klemetti; Kalevi Österman
Journal:  PLoS One       Date:  2022-10-04       Impact factor: 3.752

6.  The relationship between quantitative measures of disc height and disc signal intensity with Pfirrmann score of disc degeneration.

Authors:  Sara Salamat; John Hutchings; Clemens Kwong; John Magnussen; Mark J Hancock
Journal:  Springerplus       Date:  2016-06-22

7.  Prediction of Lumbar Disc Bulging and Protrusion by Anthropometric Factors and Disc Morphology.

Authors:  Isabella Yu-Ju Hung; Tiffany Ting-Fang Shih; Bang-Bin Chen; Yue Leon Guo
Journal:  Int J Environ Res Public Health       Date:  2021-03-04       Impact factor: 3.390

  7 in total

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