Evidence map›Paper›PMID 36250776›Full record

ArticleInflammatory bowel diseases2023

Integrating Radiomics With Clinicoradiological Scoring Can Predict High-Risk Patients Who Need Surgery in Crohn's Disease: A Pilot Study.

Prathyush Chirra, Anamay Sharma, Kaustav Bera, H Matthew Cohn, Jacob A Kurowski, Katelin Amann, Marco-Jose Rivero, Anant Madabhushi, Cheng Lu, Rajmohan Paspulati and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Inflammatory bowel diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Prathyush ChirraDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Anamay SharmaDivision of Gastroenterology, Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Kaustav BeraDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
H Matthew CohnLong Island Digestive Disease Consultants, Northwell Health Physician Partners, Setauket, NY, USA.
Jacob A KurowskiDepartment of Pediatric Gastroenterology, Hepatology, and Nutrition, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-4333-8998
Katelin AmannDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Marco-Jose RiveroDivision of Gastroenterology, Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Anant MadabhushiWallace H. Coulter Department of Biomedical Engineering, Radiology and Imaging Sciences, Biomedical Informatics (BMI) and Pathology, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.ORCID 0000-0002-5741-0399
Cheng LuDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Rajmohan PaspulatiDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Sharon L SteinDepartment of General Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USAand.
Jeffrey A KatzDivision of Gastroenterology, Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Satish E ViswanathDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Maneesh DaveDivision of Gastroenterology, Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.ORCID 0000-0002-4068-6700
University Hospitals of Cleveland · USCase Western Reserve University · USCleveland Clinic · USGeorgia Institute of Technology · USNorthwell Health · US

Funding

The Cleveland Digestive Diseases Research Core Center (DDRCC)P30DK097948 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI AMITABH CHAK · 2015 to 2026
$15.6M
RadxTools for assessing tumor treatment response on imagingU01CA248226 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI TIWARI, PALLAVI, VISWANATH, SATISH EASWAR · 2020 to 2022
$1.4M
Novel immunosuppressive mechanism of human bone marrow mesenchymal stem cells in experimental Crohn’s diseaseK08DK110421 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DAVE, MANEESH · 2017 to 2023
$980k
Radiomics-based Risk Prediction for Therapy Selection in Crohn’s Disease via MRIF31DK130587 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI CHIRRA, PRATHYUSH V · 2022 to 2022
$35k
NCI NIH HHS U01 CA248226NIDDK NIH HHS F31 DK130587NIDDK NIH HHS K08 DK110421NIDDK NIH HHS P30 DK097948
6 · The paper itself

Abstract

backgroundEarly identification of Crohn's disease (CD) patients at risk for complications could enable targeted surgical referral, but routine magnetic resonance enterography (MRE) has not been definitively correlated with need for surgery. Our objective was to identify computer-extracted image (radiomic) features from MRE associated with risk of surgery in CD and combine them with clinical and radiological assessments to predict time to intervention.

methodsThis was a retrospective single-center pilot study of CD patients who had an MRE within 3 months prior to initiating medical therapy. Radiomic features were extracted from annotated terminal ileum regions on MRE and combined with clinical variables and radiological assessment (via Simplified Magnetic Resonance Index of Activity scoring for wall thickening, edema, fat stranding, ulcers) in a random forest classifier. The primary endpoint was high- and low-risk groups based on need for surgery within 1 year of MRE. The secondary endpoint was time to surgery after treatment.

resultsEight radiomic features capturing localized texture heterogeneity within the terminal ileum were significantly associated with risk of surgery within 1 year of treatment (P < .05); yielding a discovery cohort area under the receiver-operating characteristic curve of 0.67 (n = 50) and validation cohort area under the receiver-operating characteristic curve of 0.74 (n = 23). Kaplan-Meier analysis of radiomic features together with clinical variables and Simplified Magnetic Resonance Index of Activity scores yielded the best hazard ratio of 4.13 (P = (7.6 × 10-6) and concordance index of 0.71 in predicting time to surgery after MRE.

conclusionsRadiomic features on MRE may be associated with risk of surgery in CD, and in combination with clinicoradiological scoring can yield an accurate prognostic model for time to surgery.

Indexed as

Crohn DiseaseHumansIleumMagnetic Resonance ImagingPilot ProjectsRetrospective StudiesCrohn’s diseaseMREprognosisradiomicssMARIAsurgery

Identifiers

PMID36250776
PMCPMC9977224
OpenAlexW4306643609

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.