Preoperative computed tomography enterography-based radiomics signature: A potential predictor of postoperative anastomotic recurrence in patients with Crohn’s disease

Shen, Xiao-di; Zhang, Ruonan; Huang, Shu‐Chun; Wang, Yangdi; Liu, Renyi; Meng, Jixin; Zhou, Jie; Chen, Zhao; Fang, Jia-yu; Mao, Ren; Li, Ziping; Sun, Canhui; Feng, Shi‐Ting; Lin, Sisi; Zhong, Yun; Li, Xuehua

doi:10.1016/j.ejrad.2023.110766

Cited by 10 publications

(2 citation statements)

References 29 publications

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“…363 Some biomarkers may also help predict the risk of relapse following surgery and could help to more accurately identify those patients who require postoperative IBD treatment versus those who could be spared at least temporarily. [364][365][366][367][368][369][370][371][372][373][374] However, these are numerous and could be the subject of a separate review.…”

Section: Therapeutic Advances In Gastroenterologymentioning

confidence: 99%

Precision medicine and drug optimization in adult inflammatory bowel disease patients

Vieujean

Louis

2023

Therap Adv Gastroenterol

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Inflammatory bowel diseases (IBD) encompass two main entities including ulcerative colitis and Crohn’s disease. Although having a common global pathophysiological mechanism, IBD patients are characterized by a significant interindividual heterogeneity and may differ by their disease type, disease locations, disease behaviours, disease manifestations, disease course as well as treatment needs. Indeed, although the therapeutic armamentarium for these diseases has expanded rapidly in recent years, a proportion of patients remains with a suboptimal response to medical treatment due to primary non-response, secondary loss of response or intolerance to currently available drugs. Identifying, prior to treatment initiation, which patients are likely to respond to a specific drug would improve the disease management, avoid unnecessary side effects and reduce the healthcare expenses. Precision medicine classifies individuals into subpopulations according to clinical and molecular characteristics with the objective to tailor preventative and therapeutic interventions to the characteristics of each patient. Interventions would thus be performed only on those who will benefit, sparing side effects and expense for those who will not. This review aims to summarize clinical factors, biomarkers (genetic, transcriptomic, proteomic, metabolic, radiomic or from the microbiota) and tools that could predict disease progression to guide towards a step-up or top-down strategy. Predictive factors of response or non-response to treatment will then be reviewed, followed by a discussion about the optimal dose of drug required for patients. The time at which these treatments should be administered (or rather can be stopped in case of a deep remission or in the aftermath of a surgery) will also be addressed. IBD remain biologically complex, with multifactorial etiopathology, clinical heterogeneity as well as temporal and therapeutic variabilities, which makes precision medicine especially challenging in this area. Although applied for many years in oncology, it remains an unmet medical need in IBD.

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Section: Therapeutic Advances In Gastroenterologymentioning

confidence: 99%

Precision medicine and drug optimization in adult inflammatory bowel disease patients

Vieujean

Louis

2023

Therap Adv Gastroenterol

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“…A few studies reported that the radiomic model based on MRI data predicted CD diagnosis with better performance than MaRIA evaluated by the senior radiologist [13,14]. Moreover, there are some studies using mesenteric or/and intestinal CTE radiomics signatures to predict the therapeutic response, postoperative anastomotic recurrence, brosis and disease progression and are more accurate than clinical factors or senior radiologists [11,13,[15][16][17][18][19]. However, there are no validated CD activity scores derived from CTE.…”

Section: Introductionmentioning

confidence: 99%

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

Ma,

Zhu,

Cui

et al. 2024

Preprint

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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.

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Evaluation of Mucosal Healing in Crohn’s Disease: Radiomics Models of Intestinal Wall and Mesenteric Fat Based on Dual-Energy CT

Zhu,

Rong,

Song

et al. 2024

J Digit Imaging. Inform. med.

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Preoperative computed tomography enterography-based radiomics signature: A potential predictor of postoperative anastomotic recurrence in patients with Crohn’s disease

Cited by 10 publications

References 29 publications

Precision medicine and drug optimization in adult inflammatory bowel disease patients

Precision medicine and drug optimization in adult inflammatory bowel disease patients

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

Evaluation of Mucosal Healing in Crohn’s Disease: Radiomics Models of Intestinal Wall and Mesenteric Fat Based on Dual-Energy CT

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