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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, Chao; Rong, Chang; Song, Jian; Zheng, Xiaomin; Wu, Qi; Hu, Jing; Li, Jianying; Wu, Xingwang.
Afiliação
  • Zhu C; Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
  • Rong C; Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
  • Song J; Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
  • Zheng X; Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
  • Wu Q; Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China.
  • Hu J; Department of Gastroenterology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, People's Republic of China.
  • Li J; CT Research Center, GE Healthcare China, Shanghai, 210000, People's Republic of China.
  • Wu X; Department of Radiology, The First Affiliated Hospital of Anhui Medical UniversityShushan DistrictAnhui Province, No. 218 Jixi Road, Hefei, 230022, People's Republic of China. duobi2004@126.com.
J Imaging Inform Med ; 37(2): 715-724, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38343267
ABSTRACT
This study aims to assess the effectiveness of radiomics signatures obtained from dual-energy computed tomography enterography (DECTE) in the evaluation of mucosal healing (MH) in patients diagnosed with Crohn's disease (CD). In this study, 106 CD patients with a total of 221 diseased intestinal segments (79 with MH and 142 non-MH) from two medical centers were included and randomly divided into training and testing cohorts at a ratio of 73. Radiomics features were extracted from the enteric phase iodine maps and 40-kev and 70-kev virtual monoenergetic images (VMIs) of the diseased intestinal segments, as well as from mesenteric fat. Feature selection was performed using the least absolute shrinkage and selection operator (LASSO) logistic regression. Radiomics models were subsequently established, and the accuracy of these models in identifying MH in CD was assessed by calculating the area under the receiver operating characteristic curve (AUC). The combined-iodine model formulated by integrating the intestinal and mesenteric fat radiomics features of iodine maps exhibited the most favorable performance in evaluating MH, with AUCs of 0.989 (95% confidence interval (CI) 0.977-1.000) in the training cohort and 0.947 (95% CI 0.884-1.000) in the testing cohort. Patients categorized as high risk by the combined-iodine model displayed a greater probability of experiencing disease progression when contrasted with low-risk patients. The combined-iodine radiomics model, which is built upon iodine maps of diseased intestinal segments and mesenteric fat, has demonstrated promising performance in evaluating MH in CD patients.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Imaging Inform Med Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Imaging Inform Med Ano de publicação: 2024 Tipo de documento: Article