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Predicting Treatment Response in Inflammatory Bowel Diseases: Cross-Sectional Imaging Markers

Academic Article
Publication Date:
2023
Short description:
Mignini, I., Maresca, R., Ainora, M. E., Larosa, L., Scaldaferri, F., Gasbarrini, A., Zocco, M. A., Predicting Treatment Response in Inflammatory Bowel Diseases: Cross-Sectional Imaging Markers, <>, 2023; 12 (18): N/A-N/A. [doi:10.3390/jcm12185933] [https://hdl.handle.net/10807/268419]
abstract:
Therapeutic options for inflammatory bowel diseases (IBD) have largely expanded in the last decades, both in Crohn's disease and ulcerative colitis, including multiple biological drugs targeting different inflammation pathways. However, choosing the best treatment and timing for each patient is still an undeniable challenge for IBD physicians due to the marked heterogeneity among patients and disease behavior. Therefore, early prediction of the response to biological drugs becomes of utmost importance, allowing prompt optimization of therapeutic strategies and thus paving the way towards precision medicine. In such a context, researchers have recently focused on cross-sectional imaging techniques (intestinal ultrasound, computed tomography, and magnetic resonance enterography) in order to identify predictive markers of response or non-response to biologic therapies. In this review, we aim to summarize data about imaging factors that may early predict disease behavior during biological treatment, potentially helping to define more precise and patient-tailored strategies.
Iris type:
Articolo in rivista, Nota a sentenza
Keywords:
cross-sectional imaging; inflammatory bowel disease; precision medicine; treatment response
List of contributors:
Mignini, Irene; Maresca, Rossella; Ainora, Maria Elena; Larosa, Luigi; Scaldaferri, Franco; Gasbarrini, Antonio; Zocco, Maria Assunta
Handle:
https://publicatt.unicatt.it/handle/10807/268419
Full Text:
https://publicatt.unicatt.it//retrieve/handle/10807/268419/546308/jcm-12-05933-v2.pdf
Published in:
JOURNAL OF CLINICAL MEDICINE
Journal
  • Research Fields

Research Fields

Concepts (2)


LS7_9 - Public health and epidemiology - (2022)

Settore MED/12 - GASTROENTEROLOGIA
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