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Preoperative computed tomography enterography-based radiomics signature: A potential predictor of postoperative anastomotic recurrence in patients with Crohn's disease.
Shen, Xiao-di; Zhang, Ruo-Nan; Huang, Si-Yun; Wang, Yang-di; Liu, Ren-Yi; Meng, Ji-Xin; Zhou, Jie; Chen, Zhao; Fang, Jia-Yu; Mao, Ren; Li, Zi-Ping; Sun, Can-Hui; Feng, Shi-Ting; Lin, Shao-Chun; Zhong, Ying-Kui; Li, Xue-Hua.
Afiliação
  • Shen XD; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Zhang RN; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Huang SY; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Wang YD; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Liu RY; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Meng JX; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Zhou J; Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Yuancun Er Heng Road, NO.26, Guangzhou 510655, People's Republic of China.
  • Chen Z; Department of medical imaging center, Nan Fang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Guangzhou 510515, People's Republic of China.
  • Fang JY; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Mao R; Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Li ZP; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Sun CH; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Feng ST; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China.
  • Lin SC; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China. Electronic address: lshchun@mail.sysu.edu.cn.
  • Zhong YK; Department of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Yuancun Er Heng Road, NO.26, Guangzhou 510655, People's Republic of China. Electronic address: zhongyk3@mail2.sysu.edu.cn.
  • Li XH; Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou 510080, People's Republic of China. Electronic address: lxueh@mail.sysu.edu.cn.
Eur J Radiol ; 162: 110766, 2023 May.
Article em En | MEDLINE | ID: mdl-36924538
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Crohn Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Crohn Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article