Crohn’s disease active inflammation assessment with iodine density from dual-energy CT enterography: comparison with endoscopy and conventional interpretation

Dane, Bari; Kernizan, Amelia; O’Donnell, Thomas; Petrocelli, Robert; Rabbenou, Wendy; Bhattacharya, Sumona; Chang, Shannon; Megibow, Alec J.

doi:10.1007/s00261-022-03605-2

Cited by 7 publications

(2 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…"Median" represents the median gray level intensity within the ROI. Previous studies con rmed that the mean normalized iodine density is highly sensitive and speci c for endoscopic active in ammation in CD patients [27,28]. It suggests that the gray level intensity is related to the activity of bowel segments, which is consistent with our results.…”

Section: Discussionsupporting

confidence: 92%

Computed Tomography Enterography-Based Radiomics Nomograms to Predict Inflammatory Activity for Ileocolonic Crohn’s Disease

Ma,

Zhu,

Cui

et al. 2024

Preprint

View full text Add to dashboard Cite

ObjectivesTo develop and validate nomograms, derived from morphological features, and computed tomography enterography (CTE) -based radiomics, for evaluating inflammatory activity in patients with ileocolonic Crohn’s disease (CD). MethodsA total of 54 CD patients (237 bowel segments) with clinically confirmed CD were retrospectively reviewed. The simple endoscopic score for Crohn’s disease (SES-CD) was used as a reference standard to quantify the degree of mucosal inflammation and evaluate the disease severity. Radiomics and image morphological features were extracted in the training cohort, and then a morphological model (M-score) and a radiomics model (Rad-score) were built respectively. A combined nomogram was further generated by incorporating M-score and Rad-score. Predictive values of each model were assessed using receiver operating characteristic (ROC) curve analysis. Calibration curve and decision curve analysis (DCA) were employed to evaluate the accuracy and clinical applicability of the nomogram in the testing cohort. ResultsThe area under the ROC curve (AUC) of the nomogram, based on the stenosis, comb sign and Rad-score, was 0.834 [95% confidence interval (CI): 0.728–0.940] for distinguishing active from remissive disease. Moreover, the nomogram built using comb sign and Rad-score also achieved satisfied AUC [0.781 (95%CI: 0.611–0.951)] in distinguishing mild activity from moderate-to-severe activity. The calibration curve and DCA confirmed the accuracy and clinical utility of both nomograms. Conclusions Nomograms constructed by combining CTE-based radiomics and morphological features might be a useful supporting tool for grading inflammatory activity, aiding clinical decision-making for the management of CD.

show abstract

Section: Discussionsupporting

confidence: 92%

Computed Tomography Enterography-Based Radiomics Nomograms to Predict Inflammatory Activity for Ileocolonic Crohn’s Disease

Ma,

Zhu,

Cui

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…However, commonly used clinical activity indices or biochemical indicators of Crohn’s disease, such as the Harvey-Bradshaw index and CDAI or FC and CPR, default to the same status for all diseased bowel segments, which does not correspond to reality. This is why these indicators do not always correlate with endoscopic or radiological findings [ 4 , 16 , 24 ]. The analyzes conducted in this study were based on the use of the pathological criteria of a particular bowel segment as a reference and thus are more specific to the diseased bowel segment itself, which is more consistent with real-world conditions.…”

Section: Discussionmentioning

confidence: 99%

Prediction of pathological activity in Crohn’s disease based on dual-energy CT enterography

Zhou,

Chen,

et al. 2024

Abdom Radiol

View full text Add to dashboard Cite

Purpose To explore the feasibility of predicting the pathological activity of Crohn’s disease (CD) based on dual-energy CT enterography (DECTE). Methods The clinical, endoscopic, imaging and pathological data of 55 patients with CD scanned by DECTE were retrospectively analyzed; the pathological results were used as a reference standard to classify the diseased bowel segments into active and inactive phases. The normalized iodine concentration (NIC), energy-spectrum curve slope K, dual energy index (DEI), fat fraction (FF) of the arterial phases and venous phases were compared. To assess the parameters’ predictive ability, receiver-operating characteristic curves were used. The Delong test was used to compare the differences between the diagnostic efficiency of each parameter. Results A total of 84 intestinal segments were included in the study, including 54 active intestinal segments and 30 inactive intestinal segments. The NIC, energy-spectrum curve slope K and DEI were significantly different between active and inactive bowel segments in the arterial and venous phases (P < 0.05), while FF were not significantly different (P > 0.05). The largest area under the curve (AUC) of NIC, energy-spectrum curve slope K and DEI were higher in arterial phase than in venous phase. For identifying the intestinal activity of CD, the maximum AUC of NIC in arterial phase was 0.908, with a sensitivity of 0.833 and a specificity of 0.800, and the DEI in arterial phase had the highest sensitivity (0.944). Conclusion The NIC, energy-spectrum curve slope K and DEI can effectively distinguish the active and inactive phases of the intestinal segments of CD patients and provide good assistance for determining further treatment. Graphical abstract

show abstract

Crohn’s disease phenotype analysis with iodine density from dual-energy CT enterography

Dane

Goldberg

et al. 2023

Abdom Radiol

View full text Add to dashboard Cite

Crohn’s disease active inflammation assessment with iodine density from dual-energy CT enterography: comparison with endoscopy and conventional interpretation

Cited by 7 publications

References 28 publications

Computed Tomography Enterography-Based Radiomics Nomograms to Predict Inflammatory Activity for Ileocolonic Crohn’s Disease

Computed Tomography Enterography-Based Radiomics Nomograms to Predict Inflammatory Activity for Ileocolonic Crohn’s Disease

Prediction of pathological activity in Crohn’s disease based on dual-energy CT enterography

Crohn’s disease phenotype analysis with iodine density from dual-energy CT enterography

Contact Info

Product

Resources

About