Preoperative computed tomography enterography-based radiomics signature : A potential predictor of postoperative anastomotic recurrence in patients with Crohn's disease
Copyright © 2023 Elsevier B.V. All rights reserved..
BACKGROUND: More than half of patients with Crohn's disease (CD) require at least one surgery for symptom management; however, approximately half of the patients may experience postoperative anastomotic recurrence (PAR).
OBJECTIVES: This study aims to develop and validate a preoperative computed tomography enterography (CTE)-based radiomics signature to predict early PAR in CD.
DESIGN: A total of 186 patients with CD (training cohort, n = 134; test cohort, n = 52) who underwent preoperative CTE and surgery between January 2014 and June 2020 were included in this retrospective multi-centre study.
METHODS: 106 radiomic features were initially extracted from intestinal lesions and peri-intestinal mesenteric fat, respectively; significant radiomic features were selected from them and then used to develop intestinal or mesenteric radiomics signatures, using the least absolute shrinkage and selection operator and a Cox regression model. A radiomics-based nomogram incorporating these signatures with clinical-radiological factors was created for comparison with a model based on clinical-radiological features alone.
RESULTS: 68 of 134 patients in training cohort and 16 of 52 patients in test cohort suffered from PAR. The intestinal radiomic signature (hazard ratio [HR]: 2.17; 95% confidence interval [CI]: 1.32-3.58; P = 0.002) and mesenteric radiomic signature (HR: 2.19; 95% CI: 1.14-4.19; P = 0.018) were independent risk factors for PAR in the training cohort as per a multivariate analysis. The radiomics-based nomogram (C-index: 0.710; 95% CI: 0.672-0.748) yielded superior predictive performance than the clinical-radiological model (C-index, 0.607; 95% CI: 0.582-0.632) in the test cohort. Decision curve analysis demonstrated that the radiomics-based nomogram outperformed the clinical-radiological model in terms of clinical usefulness.
CONCLUSIONS: Preoperative mesenteric and intestinal CTE radiomics signatures are potential non-invasive predictors of PAR in postoperative patients with CD.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:162 |
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| Enthalten in: |
European journal of radiology - 162(2023) vom: 01. Mai, Seite 110766 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Shen, Xiao-di [VerfasserIn] |
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| Links: |
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| Themen: |
Computed Tomography Enterography |
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| Anmerkungen: |
Date Completed 11.04.2023 Date Revised 11.04.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.ejrad.2023.110766 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM354300490 |
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| 100 | 1 | |a Shen, Xiao-di |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Preoperative computed tomography enterography-based radiomics signature |b A potential predictor of postoperative anastomotic recurrence in patients with Crohn's disease |
| 264 | 1 | |c 2023 | |
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| 500 | |a Date Revised 11.04.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 Elsevier B.V. All rights reserved. | ||
| 520 | |a BACKGROUND: More than half of patients with Crohn's disease (CD) require at least one surgery for symptom management; however, approximately half of the patients may experience postoperative anastomotic recurrence (PAR) | ||
| 520 | |a OBJECTIVES: This study aims to develop and validate a preoperative computed tomography enterography (CTE)-based radiomics signature to predict early PAR in CD | ||
| 520 | |a DESIGN: A total of 186 patients with CD (training cohort, n = 134; test cohort, n = 52) who underwent preoperative CTE and surgery between January 2014 and June 2020 were included in this retrospective multi-centre study | ||
| 520 | |a METHODS: 106 radiomic features were initially extracted from intestinal lesions and peri-intestinal mesenteric fat, respectively; significant radiomic features were selected from them and then used to develop intestinal or mesenteric radiomics signatures, using the least absolute shrinkage and selection operator and a Cox regression model. A radiomics-based nomogram incorporating these signatures with clinical-radiological factors was created for comparison with a model based on clinical-radiological features alone | ||
| 520 | |a RESULTS: 68 of 134 patients in training cohort and 16 of 52 patients in test cohort suffered from PAR. The intestinal radiomic signature (hazard ratio [HR]: 2.17; 95% confidence interval [CI]: 1.32-3.58; P = 0.002) and mesenteric radiomic signature (HR: 2.19; 95% CI: 1.14-4.19; P = 0.018) were independent risk factors for PAR in the training cohort as per a multivariate analysis. The radiomics-based nomogram (C-index: 0.710; 95% CI: 0.672-0.748) yielded superior predictive performance than the clinical-radiological model (C-index, 0.607; 95% CI: 0.582-0.632) in the test cohort. Decision curve analysis demonstrated that the radiomics-based nomogram outperformed the clinical-radiological model in terms of clinical usefulness | ||
| 520 | |a CONCLUSIONS: Preoperative mesenteric and intestinal CTE radiomics signatures are potential non-invasive predictors of PAR in postoperative patients with CD | ||
| 650 | 4 | |a Multicenter Study | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Computed Tomography Enterography | |
| 650 | 4 | |a Crohn's Disease | |
| 650 | 4 | |a InflammatoryBowelDisease | |
| 650 | 4 | |a Postoperative Anastomotic Recurrence | |
| 650 | 4 | |a Radiomics | |
| 700 | 1 | |a Zhang, Ruo-Nan |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Si-Yun |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Yang-di |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Ren-Yi |e verfasserin |4 aut | |
| 700 | 1 | |a Meng, Ji-Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Jie |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Zhao |e verfasserin |4 aut | |
| 700 | 1 | |a Fang, Jia-Yu |e verfasserin |4 aut | |
| 700 | 1 | |a Mao, Ren |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Zi-Ping |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Can-Hui |e verfasserin |4 aut | |
| 700 | 1 | |a Feng, Shi-Ting |e verfasserin |4 aut | |
| 700 | 1 | |a Lin, Shao-Chun |e verfasserin |4 aut | |
| 700 | 1 | |a Zhong, Ying-Kui |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Xue-Hua |e verfasserin |4 aut | |
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