Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn's Disease on CT Enterography Across Annotation Variations and Acquisition Differences.
To systematically identify radiomics features on CT enterography (CTE) scans which can accurately diagnose active Crohn's disease across multiple sources of variation. Retrospective study of CTE scans curated between 2013 and 2015, comprising 164 subjects (65 male, 99 female; all patients were over...
| Publicado en: | Journal of Imaging Informatics in Medicine Vol. 38; no. 3; pp. 1594 - 1606 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=185280538&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 185280538 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 29482925 NR3A jtl: Journal of Imaging Informatics in Medicine issn: 29482925 maglogo: N pubinfo: dt: Jun2025 vid: 38 iid: 3 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 185280538 185280538 185280538 10.1007/s10278-024-01303-7 185280538 ppf: 1594 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Developing a Reproducible Radiomics Model for Diagnosis of Active Crohn's Disease on CT Enterography Across Annotation Variations and Acquisition Differences. aug: au: Chirra, Prathyush V. Giriprakash, Pavithran Rizk, Alain G. Kurowski, Jacob A. Viswanath, Satish E. Gandhi, Namita S. affil: https://ror.org/051fd9666 Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA sug: subj: Crohn Disease Radiography Crohn Disease Prevention and Control Radiomics Radiographic Image Interpretation, Computer-Assisted Methods Tomography, X-Ray Computed Methods Magnetic Resonance Imaging Methods Prediction Models Evaluation Human Funding Source Male Female Adult Middle Age Aged Aged, 80 and Over Retrospective Design Record Review Prospective Studies Outpatients Validation Studies Hardiness Reproducibility of Results Ileum Prescriptions, Drug Biopsy Methods Imaging, Three-Dimensional Radiologists Psychosocial Factors Random Forest Machine Learning Algorithms Radiotherapy Adverse Effects Radiation Dosage Descriptive Statistics Comparative Studies ROC Curve Intraclass Correlation Coefficient Chi Square Test Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: To systematically identify radiomics features on CT enterography (CTE) scans which can accurately diagnose active Crohn's disease across multiple sources of variation. Retrospective study of CTE scans curated between 2013 and 2015, comprising 164 subjects (65 male, 99 female; all patients were over the age of 18) with endoscopic confirmation for the presence or absence of active Crohn's disease. All patients had three distinct sets of scans available (full and reduced dose, where the latter had been reconstructed via two different methods), acquired on a single scanner at a single institution. Radiomics descriptors from annotated terminal ileum regions were individually and systematically evaluated for resilience to different imaging variations (changes in dose/reconstruction, batch effects, and simulated annotation differences) via multiple reproducibility measures. Multiple radiomics models (by accounting for each source of variation) were evaluated in terms of classifier area under the ROC curve (AUC) for identifying patients with active Crohn's disease, across separate discovery and hold-out validation cohorts. Radiomics descriptors selected based on resiliency to multiple sources of imaging variation yielded the highest overall classification performance in the discovery cohort (AUC = 0.79 ± 0.04) which also best generalized in hold-out validation (AUC = 0.81). Performance was maintained across multiple doses and reconstructions while also being significantly better (p < 0.001) than non-resilient descriptors or descriptors only resilient to a single source of variation. Radiomics features can accurately diagnose active Crohn's disease on CTE scans across multiple sources of imaging variation via systematic analysis of reproducibility measures. Clinical utility and translatability of radiomics features for diagnosis and characterization of Crohn's disease on CTE scans will be contingent on their reproducibility across multiple types and sources of imaging variation. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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