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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10532020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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