Evaluation of Crohn's disease activity: initial validation of a magnetic resonance enterography global score (MEGS) against faecal calprotectin
| Autor: | Sara McCartney, Alastair Forbes, Emma Helbren, Jesica Makanyanga, Stuart A. Taylor, Doug Pendse, Terry Cuthbertson, Shonit Punwani, Stuart Bloom, Nikolaos Dikaios, Elaine Atkins, Steve Halligan |
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| Rok vydání: | 2013 |
| Předmět: |
Adult
Male Pathology medicine.medical_specialty Adolescent Colon Logistic regression Inflammatory bowel disease Gastroenterology Severity of Illness Index 030218 nuclear medicine & medical imaging 03 medical and health sciences Feces Young Adult 0302 clinical medicine Crohn Disease Ileum Internal medicine medicine Humans Radiology Nuclear Medicine and imaging Prospective Studies Neuroradiology Aged Crohn's disease medicine.diagnostic_test biology business.industry C-reactive protein Magnetic resonance imaging General Medicine Middle Aged medicine.disease Faecal calprotectin Magnetic Resonance Imaging ROC Curve biology.protein 030211 gastroenterology & hepatology Female Radiology Calprotectin business Leukocyte L1 Antigen Complex Biomarkers Follow-Up Studies |
| Zdroj: | European Radiology |
| ISSN: | 1432-1084 |
| Popis: | To develop an MRI enterography global score (MEGS) of Crohn’s disease (CD) activity compared with a reference standard of faecal calprotectin (fC), C-reactive protein (CRP) and Harvey-Bradshaw index (HBI). Calprotectin, CRP and HBI were prospectively recorded for 71 patients (median age 33, male 35) with known/suspected CD undergoing MRI enterography. Two observers in consensus scored activity for nine bowel segments, grading mural thickness, T2 signal, mesenteric oedema, T1 enhancement and pattern, and haustral loss. Segmental scores were multiplied according to disease length. Five points each were added for lymphadenopathy, comb sign, fistulae and abscesses to derive the MEGS. A previously validated MRI CD activity score (CDAS) was also calculated. MRI scores were correlated with clinical references using Spearman’s rank. A logistic regression diagnostic model was built to discriminate active (fC > 100 μg/g) from inactive disease. MEGS and CDAS were significantly correlated with fC (r = 0.46, P |
| Databáze: | OpenAIRE |
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