A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing Pancreatitis
Background. Persistent organ failure (POF) is the leading cause of death in patients with acute necrotizing pancreatitis (ANP). Although several risk factors have been identified, there remains a lack of efficient instruments to accurately predict the incidence of POF in ANP. Methods. Retrospectivel...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2023-01-01
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| Series: | Gastroenterology Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2023/2831024 |
| _version_ | 1827085809250992128 |
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| author | Nan Liu Yidong Wan Yifan Tong Jie He Shufeng Xu Xi Hu Chen Luo Lei Xu Feng Guo Bo Shen Hong Yu |
| author_facet | Nan Liu Yidong Wan Yifan Tong Jie He Shufeng Xu Xi Hu Chen Luo Lei Xu Feng Guo Bo Shen Hong Yu |
| author_sort | Nan Liu |
| collection | DOAJ |
| description | Background. Persistent organ failure (POF) is the leading cause of death in patients with acute necrotizing pancreatitis (ANP). Although several risk factors have been identified, there remains a lack of efficient instruments to accurately predict the incidence of POF in ANP. Methods. Retrospectively, the clinical and imaging data of 178 patients with ANP were collected from our database, and the patients were divided into training (n=125) and validation (n=53) cohorts. Through computed tomography image acquisition, the volume of interest segmentation, and feature extraction and selection, a pure radiomics model in terms of POF prediction was established. Then, a clinic-radiomics model integrating the pure radiomics model and clinical risk factors was constructed. Both primary and secondary endpoints were compared between the high- and low-risk groups stratified by the clinic-radiomics model. Results. According to the 547 selected radiomics features, four models were derived from features. A clinic-radiomics model in the training and validation sets showed better predictive performance than pure radiomics and clinical models. The clinic-radiomics model was evaluated by the ratios of intervention and mechanical ventilation, intensive care unit (ICU) stays, and hospital stays. The results showed that the high-risk group had significantly higher intervention rates, ICU stays, and hospital stays than the low-risk group, with the confidence interval of 90% (p<0.1 for all). Conclusions. This clinic-radiomics model is a useful instrument for clinicians to evaluate the incidence of POF, facilitating patients’ and their families’ understanding of the ANP prognosis. |
| first_indexed | 2024-03-12T13:28:21Z |
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| id | doaj.art-504640b1f37f4dfdb47432a802825c79 |
| institution | Directory Open Access Journal |
| issn | 1687-630X |
| language | English |
| last_indexed | 2025-03-20T04:26:50Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | Gastroenterology Research and Practice |
| spelling | doaj.art-504640b1f37f4dfdb47432a802825c792024-10-03T05:47:38ZengHindawi LimitedGastroenterology Research and Practice1687-630X2023-01-01202310.1155/2023/2831024A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing PancreatitisNan Liu0Yidong Wan1Yifan Tong2Jie He3Shufeng Xu4Xi Hu5Chen Luo6Lei Xu7Feng Guo8Bo Shen9Hong Yu10Department of Critical Care MedicineInstitute of Translational MedicineCenter of Severe PancreatitisDepartment of RadiologyDepartment of RadiologyDepartment of RadiologyInstitute of Translational MedicineInstitute of Translational MedicineDepartment of Critical Care MedicineCenter of Severe PancreatitisCenter of Severe PancreatitisBackground. Persistent organ failure (POF) is the leading cause of death in patients with acute necrotizing pancreatitis (ANP). Although several risk factors have been identified, there remains a lack of efficient instruments to accurately predict the incidence of POF in ANP. Methods. Retrospectively, the clinical and imaging data of 178 patients with ANP were collected from our database, and the patients were divided into training (n=125) and validation (n=53) cohorts. Through computed tomography image acquisition, the volume of interest segmentation, and feature extraction and selection, a pure radiomics model in terms of POF prediction was established. Then, a clinic-radiomics model integrating the pure radiomics model and clinical risk factors was constructed. Both primary and secondary endpoints were compared between the high- and low-risk groups stratified by the clinic-radiomics model. Results. According to the 547 selected radiomics features, four models were derived from features. A clinic-radiomics model in the training and validation sets showed better predictive performance than pure radiomics and clinical models. The clinic-radiomics model was evaluated by the ratios of intervention and mechanical ventilation, intensive care unit (ICU) stays, and hospital stays. The results showed that the high-risk group had significantly higher intervention rates, ICU stays, and hospital stays than the low-risk group, with the confidence interval of 90% (p<0.1 for all). Conclusions. This clinic-radiomics model is a useful instrument for clinicians to evaluate the incidence of POF, facilitating patients’ and their families’ understanding of the ANP prognosis.http://dx.doi.org/10.1155/2023/2831024 |
| spellingShingle | Nan Liu Yidong Wan Yifan Tong Jie He Shufeng Xu Xi Hu Chen Luo Lei Xu Feng Guo Bo Shen Hong Yu A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing Pancreatitis Gastroenterology Research and Practice |
| title | A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing Pancreatitis |
| title_full | A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing Pancreatitis |
| title_fullStr | A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing Pancreatitis |
| title_full_unstemmed | A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing Pancreatitis |
| title_short | A Clinic-Radiomics Model for Predicting the Incidence of Persistent Organ Failure in Patients with Acute Necrotizing Pancreatitis |
| title_sort | clinic radiomics model for predicting the incidence of persistent organ failure in patients with acute necrotizing pancreatitis |
| url | http://dx.doi.org/10.1155/2023/2831024 |
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