Reliability of T2-weighted signal intensity-based quantitative measurements and visual grading of lumbar disc degeneration on MRI.
Acta Radiol
; 64(6): 2145-2151, 2023 Jun.
Article
em En
| MEDLINE
| ID: mdl-37078166
ABSTRACT
BACKGROUND:
Decrease in signal intensity (SI) of the nucleus pulposus (NP) on T2-weighted (T2W) images, a sign of disc degeneration (DD), is usually graded based on an observer's image interpretation. No gold standard for quantitative assessment of NP SI exists to date.PURPOSE:
To compare different quantitative methods and visual gradings of lumbar DD and to evaluate the ability of the quantitative methods to differentiate DD grades. MATERIAL ANDMETHODS:
The mean SI of 95 lumbar discs was measured from sagittal T2W images using three regions of interest (ROI) the whole disc, ellipsoid ROI on the NP, and targeted ROI on the most homogenous, brightest area of the NP. SI values were adjusted with cerebrospinal fluid (CSF) SI and compared with vertebral bone SI-adjusted values. DD was evaluated with Pfirrmann grading and visual grading of NP SI. Intra- and inter-observer agreements and relationships between measurements and visual gradings were assessed.RESULTS:
Repeatability of all measurements was excellent. All measurements had a strong correlation with Pfirrmann grading and visual NP SI grading, and the CSF SI-adjusted values had a stronger correlation than the vertebral bone SI-adjusted values. The SI values obtained with the targeted ROI had the most significant differences between visual DD grades.CONCLUSION:
Quantitative measurement of the NP SI provides a reliable method for evaluating lumbar DD. Targeted selection of the NP structures included in the measurement offers the best differentiation of DD grades. A reliable quantitative method for DD evaluation is needed for the development of machine-learning-based DD classification.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Degeneração do Disco Intervertebral
/
Disco Intervertebral
Limite:
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article