Radiomics prediction of surgery in ulcerative colitis refractory to medical treatment

Radiomics analysis of CT images of patients with US at the time of admission, combined with clinical data, showed high predictive ability regarding a treatment strategy of surgery or medical treatment.

Authors

Institutions

Publication Details

Journal
Techniques in Coloproctology
Published
2025-05-10
DOI
https://doi.org/10.1007/s10151-025-03139-x
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Radiomics prediction of surgery in ulcerative colitis refractory to medical treatment

Kyoko Sakamoto, Yohei Mikami, Yuko Kitagawa, Koji Okabayashi et al.
1 links
Techniques in Coloproctology
Radiomics and Machine Learning in Medical Imaging
article

Radiomics prediction of surgery in ulcerative colitis refractory to medical treatment

Kyoko Sakamoto, Yohei Mikami, Yuko Kitagawa, Koji Okabayashi, Hiroki Kiyohara, Kohei Shigeta, Takanori Kanai∥, Ryo Seishima
article en

Abstract

Radiomics analysis of CT images of patients with US at the time of admission, combined with clinical data, showed high predictive ability regarding a treatment strategy of surgery or medical treatment.

Techniques in ColoproctologyVol. 29(1)
Keio University (JP), Keio University Hospital (JP)
Good health and well-being
Openalex Percentile: Top 85%
Radiomics and Machine Learning in Medical Imaging
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.