CT radiomics to assess severity of explosion-induced primary blast lung injury in goats
Abstract Previous studies on primary blast lung injury have mostly been small-sample simulation experiments, primarily relying on morphological identification and lacking imaging-based classification of severity. Herein, we have established a large-sample model of goats exposed to real natural field...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-06-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-03069-6 |
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| author | Bo Yang Hanwei Wang Ling Feng Ming Li Linlan Zeng Ping Xiang Yishan Yao Kuijun Chen Zhaoxia Duan Jianmin Wang Kunlin Xiong Shunan Wang |
| author_facet | Bo Yang Hanwei Wang Ling Feng Ming Li Linlan Zeng Ping Xiang Yishan Yao Kuijun Chen Zhaoxia Duan Jianmin Wang Kunlin Xiong Shunan Wang |
| author_sort | Bo Yang |
| collection | DOAJ |
| description | Abstract Previous studies on primary blast lung injury have mostly been small-sample simulation experiments, primarily relying on morphological identification and lacking imaging-based classification of severity. Herein, we have established a large-sample model of goats exposed to real natural field explosions and employed CT radiomics to assess the severity of lung injury. By extracting 1288 radiomics features and combining baseline data, baseline, radiomics, and comprehensive models were built. Results showed that the radiomics and comprehensive models outperformed the baseline model. Decision curve analysis indicated better clinical benefits with models incorporating rad-scores. A nomogram established with multiple factors demonstrated individualized predictive performance. The addition of CT radiomics features improved assessment accuracy and is expected to support clinical decision-making. |
| format | Article |
| id | doaj-art-5b5978f7d9c341b1b8e467a3d922cf22 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-5b5978f7d9c341b1b8e467a3d922cf222025-08-20T03:26:42ZengNature PortfolioScientific Reports2045-23222025-06-0115111110.1038/s41598-025-03069-6CT radiomics to assess severity of explosion-induced primary blast lung injury in goatsBo Yang0Hanwei Wang1Ling Feng2Ming Li3Linlan Zeng4Ping Xiang5Yishan Yao6Kuijun Chen7Zhaoxia Duan8Jianmin Wang9Kunlin Xiong10Shunan Wang11Department of Radiology, Daping Hospital, Army Medical UniversityDepartment of Radiology, Daping Hospital, Army Medical UniversityDepartment of Ultrasound, Chongqing Jiangbei Hospital of Traditional Chinese MedicineWestern Theater Command Center for Disease Control and PreventionDepartment of Radiology, Daping Hospital, Army Medical UniversityOutpatient Department of Army Logistics Academy Training Base, No 958 Hospital of Army, Army Medical UniversityDepartment of Radiology, Daping Hospital, Army Medical UniversityDepartment 6, Research Institute of Surgery, Daping Hospital, Army Medical UniversityDepartment 6, Research Institute of Surgery, Daping Hospital, Army Medical UniversityDepartment 6, Research Institute of Surgery, Daping Hospital, Army Medical UniversityDepartment of Radiology, Daping Hospital, Army Medical UniversityDepartment of Radiology, Daping Hospital, Army Medical UniversityAbstract Previous studies on primary blast lung injury have mostly been small-sample simulation experiments, primarily relying on morphological identification and lacking imaging-based classification of severity. Herein, we have established a large-sample model of goats exposed to real natural field explosions and employed CT radiomics to assess the severity of lung injury. By extracting 1288 radiomics features and combining baseline data, baseline, radiomics, and comprehensive models were built. Results showed that the radiomics and comprehensive models outperformed the baseline model. Decision curve analysis indicated better clinical benefits with models incorporating rad-scores. A nomogram established with multiple factors demonstrated individualized predictive performance. The addition of CT radiomics features improved assessment accuracy and is expected to support clinical decision-making.https://doi.org/10.1038/s41598-025-03069-6CTRadiomicsExplosionBlast lung injury |
| spellingShingle | Bo Yang Hanwei Wang Ling Feng Ming Li Linlan Zeng Ping Xiang Yishan Yao Kuijun Chen Zhaoxia Duan Jianmin Wang Kunlin Xiong Shunan Wang CT radiomics to assess severity of explosion-induced primary blast lung injury in goats Scientific Reports CT Radiomics Explosion Blast lung injury |
| title | CT radiomics to assess severity of explosion-induced primary blast lung injury in goats |
| title_full | CT radiomics to assess severity of explosion-induced primary blast lung injury in goats |
| title_fullStr | CT radiomics to assess severity of explosion-induced primary blast lung injury in goats |
| title_full_unstemmed | CT radiomics to assess severity of explosion-induced primary blast lung injury in goats |
| title_short | CT radiomics to assess severity of explosion-induced primary blast lung injury in goats |
| title_sort | ct radiomics to assess severity of explosion induced primary blast lung injury in goats |
| topic | CT Radiomics Explosion Blast lung injury |
| url | https://doi.org/10.1038/s41598-025-03069-6 |
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