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Apparent diffusion coefficient values in Modic changes - interobserver reproducibility and relation to Modic type.

Magnhild H Dagestad1,2, Nils Vetti3,4, Per M Kristoffersen3,4

  • 1Department of Radiology, Haukeland University Hospital, Jonas Liesvei 65, 5021, Bergen, Norway. magnhild.hammersland.dagestad@helse-bergen.no.

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|July 22, 2022
PubMed
Summary
This summary is machine-generated.

Apparent diffusion coefficient (ADC) measurements in Modic Changes (MCs) showed good reproducibility and effectively differentiated between MC types. This supports ADC as a valuable tool for future research into back pain.

Keywords:
AdultsImaging sequencesMR-imagingObserver performanceSkeletal-axialSpine

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Area of Science:

  • Radiology and Imaging
  • Spinal Imaging
  • Biomarker Discovery

Background:

  • Modic Changes (MCs) are vertebral bone marrow abnormalities with uncertain clinical significance in back pain.
  • Diffusion-weighted MRI and apparent diffusion coefficient (ADC) measurements offer insights into bone marrow lesions.
  • Limited research exists on ADC measurements within MCs, necessitating studies on reproducibility and validity.

Purpose of the Study:

  • To evaluate the interobserver reproducibility of ADC measurements in Modic Changes (MCs).
  • To assess the relationship between ADC values and different types of Modic Changes (MCs).
  • To determine if ADC measurements can differentiate between MC types (oedema, fatty, sclerotic).

Main Methods:

  • Utilized ADC maps from 1.5T lumbar spine MRI scans of 90 chronic low back pain patients.
  • Two radiologists independently measured ADC values in MCs using fixed-sized regions of interest.
  • Analyzed MC-ADC, MC-ADC%, and MC-ADC-ratio, assessing interobserver agreement and correlation with MC type using statistical models and ROC analysis.

Main Results:

  • All ADC variables showed significantly higher mean values for Type 1 (oedema) compared to Type 3 (sclerotic) and Type 2 (fatty) MCs.
  • MC-ADC and MC-ADC% demonstrated moderate to high ability to discriminate between MC types (AUC 0.73-0.91).
  • MC-ADC exhibited the best interobserver reproducibility, with less frequent large differences between observers compared to other ADC variables.

Conclusions:

  • The MC-ADC measurement demonstrated superior interobserver reproducibility and significant ability to differentiate between Modic Change types.
  • ADC values varied across MC types consistent with expected histological differences.
  • MC-ADC is a reproducible metric that can be utilized in future research on Modic Changes and their clinical relevance.