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

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 stil...

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Autores principales: Mignini, Irene, Maresca, Rossella, Ainora, Maria Elena, Larosa, Luigi, Scaldaferri, Franco, Gasbarrini, Antonio, Zocco, Maria Assunta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532020/
https://www.ncbi.nlm.nih.gov/pubmed/37762874
http://dx.doi.org/10.3390/jcm12185933
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author Mignini, Irene
Maresca, Rossella
Ainora, Maria Elena
Larosa, Luigi
Scaldaferri, Franco
Gasbarrini, Antonio
Zocco, Maria Assunta
author_facet Mignini, Irene
Maresca, Rossella
Ainora, Maria Elena
Larosa, Luigi
Scaldaferri, Franco
Gasbarrini, Antonio
Zocco, Maria Assunta
author_sort Mignini, Irene
collection PubMed
description 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.
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spelling pubmed-105320202023-09-28 Predicting Treatment Response in Inflammatory Bowel Diseases: Cross-Sectional Imaging Markers Mignini, Irene Maresca, Rossella Ainora, Maria Elena Larosa, Luigi Scaldaferri, Franco Gasbarrini, Antonio Zocco, Maria Assunta J Clin Med Review 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. MDPI 2023-09-12 /pmc/articles/PMC10532020/ /pubmed/37762874 http://dx.doi.org/10.3390/jcm12185933 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Mignini, Irene
Maresca, Rossella
Ainora, Maria Elena
Larosa, Luigi
Scaldaferri, Franco
Gasbarrini, Antonio
Zocco, Maria Assunta
Predicting Treatment Response in Inflammatory Bowel Diseases: Cross-Sectional Imaging Markers
title Predicting Treatment Response in Inflammatory Bowel Diseases: Cross-Sectional Imaging Markers
title_full Predicting Treatment Response in Inflammatory Bowel Diseases: Cross-Sectional Imaging Markers
title_fullStr Predicting Treatment Response in Inflammatory Bowel Diseases: Cross-Sectional Imaging Markers
title_full_unstemmed Predicting Treatment Response in Inflammatory Bowel Diseases: Cross-Sectional Imaging Markers
title_short Predicting Treatment Response in Inflammatory Bowel Diseases: Cross-Sectional Imaging Markers
title_sort predicting treatment response in inflammatory bowel diseases: cross-sectional imaging markers
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10532020/
https://www.ncbi.nlm.nih.gov/pubmed/37762874
http://dx.doi.org/10.3390/jcm12185933
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