Researchers developed an MRI-based prediction model for anti-TNF treatment failure in perianal Crohn’s disease. The model, based on clinical and radiologic parameters, accurately predicts the likelihood of treatment failure and outperforms existing imaging-based indices. The study included 221 patients, with treatment failure occurring in 46% of cases. The prediction model included age at diagnosis, time to initiate treatment, smoking, and eight MRI characteristics. The full and simplified MRI models had fair discriminatory capacity for treatment failure.
Journal Article by McCurdy J, Munir J (…) Macdonald B et 16 al. in Clin Gastroenterol Hepatol
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