AI-based fingerprint index of visceral adipose tissue for the prediction of bowel damage in patients with Crohn’s disease
The fingerprint features of visceral adipose tissue (VAT) are intricately linked to bowel damage (BD) in patients with Crohn's disease (CD). We aimed to develop a VAT fingerprint index (VAT-FI) using radiomics and deep learning features extracted from computed tomography (CT) images of 1,135 CD patients across six hospitals (training cohort, <i>n</i> = 600; testing cohort, <i>n</i> = 535) for predicting BD, and to compare it with a subcutaneous adipose tissue (SAT)-FI. VAT-FI exhibited greater predictive accuracy than SAT-FI in both training (area under the receiver operating characteristic curve [AUC] = 0.822 vs. AUC = 0.745, <i>p</i> = 0.019) and testing (AUC = 0.791 vs. AUC = 0.687, <i>p</i> = 0.019) cohorts. Multivariate logistic regression analysis highlighted VAT-FI as the sole significant predictor (training cohort: hazard ratio [HR] = 1.684, <i>p</i> = 0.012; testing cohort: HR = 2.649, <i>p</i> < 0.001). Through Shapley additive explanation (SHAP) analysis, we further quantitatively elucidated the predictive relationship between VAT-FI and BD, highlighting potential connections such as Radio479 (wavelet-HLH-first-order standard deviation)-Frequency loose stools-BD severity. VAT-FI offers an accurate means for characterizing BD, minimizing the need for extensive clinical data.
Authors
- Yangdi Wang (ORCID: https://orcid.org/0000-0002-9731-2830)
- Shi‐Ting Feng (ORCID: https://orcid.org/0000-0002-0869-7290)
- Cicong Hu
- Zhenpeng Peng (ORCID: https://orcid.org/0000-0002-2304-5215)
- Canhui Sun (ORCID: https://orcid.org/0000-0001-5724-5410)
- Bingsheng Huang (ORCID: https://orcid.org/0000-0002-1183-7506)
- Enming Cui (ORCID: https://orcid.org/0000-0003-0634-822X)
- Jiahang Lu
- Haipeng Wang (ORCID: https://orcid.org/0000-0003-1912-7143)
- Ruonan Zhang (ORCID: https://orcid.org/0000-0002-6987-3606)
- Jianpeng Li (ORCID: https://orcid.org/0000-0002-0660-7802)
- Xuehua Li (ORCID: https://orcid.org/0000-0002-7476-2644)
- Minhu Chen
- Jiaqiang Li (ORCID: https://orcid.org/0000-0001-8066-9502)
- Ziping Li (ORCID: https://orcid.org/0000-0003-0341-6098)
- Li Shi (ORCID: https://orcid.org/0009-0003-3012-9219)
- Ren Mao
- Yuqin Lin
- Xiaozhao Zhuang
Institutions
- Sun Yat-sen University (CN)
- Kunming Medical University (CN)
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Shantou University (CN)
- Third Affiliated Hospital of Guangzhou Medical University (CN)
- First People's Hospital of Foshan (CN)
- First Affiliated Hospital of Shantou University Medical College (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
- Dongguan People’s Hospital (CN)
- Hainan General Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Shenzhen University Health Science Center (CN)
- Jiangmen Central Hospital (CN)
- Hainan Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- iScience
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1016/j.isci.2024.111022
- Primary Topic
- Biomarkers in Disease Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Sun Yat-sen University
- Fundamental Research Funds for the Central Universities
- Special Project for Research and Development in Key areas of Guangdong Province
- Basic and Applied Basic Research Foundation of Guangdong Province