Quantitative Magnetic Resonance Imaging in Perianal Crohn's Disease at 1.5 and 3.0 T: A Feasibility Study

Ali Alyami1,2,3, Caroline L Hoad3,4, Christopher Tench3,5

  • 1Department of Diagnostic Radiography Technology, College of Applied Medical Sciences, Jazan University, Jazan 45142, Saudi Arabia.

Insights

Quantitative MRI shows potential for monitoring perianal Crohn's Disease (pCD) treatment response. While MRI measures didn't change, clinical markers improved, suggesting MRI may help predict treatment outcomes.

Area of Science:

  • Gastroenterology
  • Radiology
  • Medical Imaging

Background:

  • Perianal Crohn's Disease (pCD) monitoring is challenging due to unreliable disease measures.
  • Qualitative MRI is used for pCD diagnosis and monitoring, with potential for treatment response assessment.
  • Quantitative MRI sequences (DWI, DCE, MT, T2) offer enhanced diagnostic capabilities.

Purpose of the Study:

  • To evaluate the utility of quantitative MRI sequences in assessing treatment response in pCD patients.
  • To develop a baseline model for predicting treatment outcomes in pCD after 12 weeks of biological therapy.

Main Methods:

  • A cohort of 25 pCD patients underwent quantitative MRI (DWI, DCE, MT, T2) at 1.5 T and 3 T before and after 12 weeks of biological therapy.
  • Disease activity was assessed using the Perianal Crohn's Disease Activity Index (PDAI) and serum C-reactive protein (CRP).
  • Radiologists identified diseased tissue areas on MRI for quantitative analysis.

Main Results:

  • No significant changes were observed in quantitative MRI measures within diseased tissue regions from baseline to 12 weeks.
  • A decrease in PDAI and CRP levels was noted, indicating clinical improvement.
  • Baseline PDAI, CRP, T2 relaxometry, and surgical history moderately predicted treatment response at 12 weeks.

Conclusions:

  • Quantitative MRI measures did not significantly change despite clinical improvement in pCD patients undergoing biological therapy.
  • A predictive model incorporating baseline clinical and MRI parameters shows moderate ability to forecast treatment response.
  • Further validation in larger cohorts is necessary to refine the predictive model for pCD management.