Early Intestinal Ultrasound Assessment Predicts Therapy Response: An Easy Tool for Clinical Decision-Making

Early reduction in BWT, especially when combined with Limberg score, is a strong predictor of TH and IUS response at 12 months, supporting the use of early IUS monitoring in clinical practice.

Authors

Institutions

Publication Details

Journal
Inflammatory Bowel Diseases
Published
2026-01-15
DOI
https://doi.org/10.1093/ibd/izaf317
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Early Intestinal Ultrasound Assessment Predicts Therapy Response: An Easy Tool for Clinical Decision-Making

Elena De Cristofaro, Emma Calabrese, Elisabetta Lolli, Elisa Cuccagna et al.
Inflammatory Bowel Diseases
Pancreatic and Hepatic Oncology Research
article

Early Intestinal Ultrasound Assessment Predicts Therapy Response: An Easy Tool for Clinical Decision-Making

Elena De Cristofaro, Emma Calabrese, Elisabetta Lolli, Elisa Cuccagna, Alessia Dalila Guarino, Anna Testa, Alice Colella, Antonio Rispo, F Zorzi, Fabiana Castiglione, Giovanni Monteleone, Luca Basile
article en

Abstract

Early reduction in BWT, especially when combined with Limberg score, is a strong predictor of TH and IUS response at 12 months, supporting the use of early IUS monitoring in clinical practice.

Inflammatory Bowel Diseases
University of Rome Tor Vergata (IT), Federico II University Hospital (IT)
Peace, Justice and strong institutions
Openalex Percentile: Top 30%
Pancreatic and Hepatic Oncology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.