The value of computed tomography texture analysis in identifying chronic subdural hematoma patients with a good response to polytherapy
Abstract This study aimed to investigate the predictive factors of therapeutic efficacy for chronic subdural hematoma (CSDH) patients receiving atorvastatin combined with dexamethasone therapy by using clinical imaging characteristics in conjunction with computed tomography (CT) texture analysis (CT...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-53376-7 |
| _version_ | 1827327448605261824 |
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| author | Zhuang Sha Di Wu Shiying Dong Tao Liu Chenrui Wu Chuanxiang Lv Mingqi Liu Weiwei Jiang Jiangyuan Yuan Meng Nie Chuang Gao Feng Liu Xinjie Zhang Rongcai Jiang |
| author_facet | Zhuang Sha Di Wu Shiying Dong Tao Liu Chenrui Wu Chuanxiang Lv Mingqi Liu Weiwei Jiang Jiangyuan Yuan Meng Nie Chuang Gao Feng Liu Xinjie Zhang Rongcai Jiang |
| author_sort | Zhuang Sha |
| collection | DOAJ |
| description | Abstract This study aimed to investigate the predictive factors of therapeutic efficacy for chronic subdural hematoma (CSDH) patients receiving atorvastatin combined with dexamethasone therapy by using clinical imaging characteristics in conjunction with computed tomography (CT) texture analysis (CTTA). Clinical imaging characteristics and CT texture parameters at admission were retrospectively investigated in 141 CSDH patients who received atorvastatin combined with dexamethasone therapy from June 2019 to December 2022. The patients were divided into a training set (n = 81) and a validation set (n = 60). Patients in the training data were divided into two groups based on the effectiveness of the treatment. Univariate and multivariate analyses were performed to assess the potential factors that could indicate the prognosis of CSDH patients in the training set. The receiver operating characteristic (ROC) curve was used to analyze the predictive efficacy of the significant factors in predicting the prognosis of CSDH patients and was validated using a validation set. The multivariate analysis showed that the hematoma density to brain parenchyma density ratio, singal min (minimum) and singal standard deviation of the pixel distribution histogram, and inhomogeneity were independent predictors for the prognosis of CSDH patients based on atorvastatin and dexamethasone therapy. The area under the ROC curve between the two groups was between 0.716 and 0.806. As determined by significant factors, the validation's accuracy range was 0.816 to 0.952. Clinical imaging characteristics in conjunction with CTTA could aid in distinguishing patients with CSDH who responded well to atorvastatin combined with dexamethasone. |
| first_indexed | 2024-03-07T15:01:22Z |
| format | Article |
| id | doaj.art-711c64393f644961bfaa451e5be62448 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-07T15:01:22Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-711c64393f644961bfaa451e5be624482024-03-05T19:08:10ZengNature PortfolioScientific Reports2045-23222024-02-011411910.1038/s41598-024-53376-7The value of computed tomography texture analysis in identifying chronic subdural hematoma patients with a good response to polytherapyZhuang Sha0Di Wu1Shiying Dong2Tao Liu3Chenrui Wu4Chuanxiang Lv5Mingqi Liu6Weiwei Jiang7Jiangyuan Yuan8Meng Nie9Chuang Gao10Feng Liu11Xinjie Zhang12Rongcai Jiang13Department of Neurosurgery, Tianjin Medical University General HospitalDepartment of Neurosurgery, Tianjin Medical University General HospitalDepartment of Neurosurgery, Tianjin Medical University General HospitalDepartment of Neurosurgery, Tianjin Medical University General HospitalDepartment of Neurosurgery, Tianjin Medical University General HospitalDepartment of Neurosurgery, The First Hospital of Jilin UniversityDepartment of Neurosurgery, Tianjin Medical University General HospitalDepartment of Neurosurgery, Tianjin Medical University General HospitalDepartment of Neurosurgery, Tianjin Medical University General HospitalDepartment of Neurosurgery, Tianjin Medical University General HospitalDepartment of Neurosurgery, Tianjin Medical University General HospitalDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General HospitalDepartment of Neurosurgery, Tianjin Medical University General HospitalDepartment of Neurosurgery, Tianjin Medical University General HospitalAbstract This study aimed to investigate the predictive factors of therapeutic efficacy for chronic subdural hematoma (CSDH) patients receiving atorvastatin combined with dexamethasone therapy by using clinical imaging characteristics in conjunction with computed tomography (CT) texture analysis (CTTA). Clinical imaging characteristics and CT texture parameters at admission were retrospectively investigated in 141 CSDH patients who received atorvastatin combined with dexamethasone therapy from June 2019 to December 2022. The patients were divided into a training set (n = 81) and a validation set (n = 60). Patients in the training data were divided into two groups based on the effectiveness of the treatment. Univariate and multivariate analyses were performed to assess the potential factors that could indicate the prognosis of CSDH patients in the training set. The receiver operating characteristic (ROC) curve was used to analyze the predictive efficacy of the significant factors in predicting the prognosis of CSDH patients and was validated using a validation set. The multivariate analysis showed that the hematoma density to brain parenchyma density ratio, singal min (minimum) and singal standard deviation of the pixel distribution histogram, and inhomogeneity were independent predictors for the prognosis of CSDH patients based on atorvastatin and dexamethasone therapy. The area under the ROC curve between the two groups was between 0.716 and 0.806. As determined by significant factors, the validation's accuracy range was 0.816 to 0.952. Clinical imaging characteristics in conjunction with CTTA could aid in distinguishing patients with CSDH who responded well to atorvastatin combined with dexamethasone.https://doi.org/10.1038/s41598-024-53376-7 |
| spellingShingle | Zhuang Sha Di Wu Shiying Dong Tao Liu Chenrui Wu Chuanxiang Lv Mingqi Liu Weiwei Jiang Jiangyuan Yuan Meng Nie Chuang Gao Feng Liu Xinjie Zhang Rongcai Jiang The value of computed tomography texture analysis in identifying chronic subdural hematoma patients with a good response to polytherapy Scientific Reports |
| title | The value of computed tomography texture analysis in identifying chronic subdural hematoma patients with a good response to polytherapy |
| title_full | The value of computed tomography texture analysis in identifying chronic subdural hematoma patients with a good response to polytherapy |
| title_fullStr | The value of computed tomography texture analysis in identifying chronic subdural hematoma patients with a good response to polytherapy |
| title_full_unstemmed | The value of computed tomography texture analysis in identifying chronic subdural hematoma patients with a good response to polytherapy |
| title_short | The value of computed tomography texture analysis in identifying chronic subdural hematoma patients with a good response to polytherapy |
| title_sort | value of computed tomography texture analysis in identifying chronic subdural hematoma patients with a good response to polytherapy |
| url | https://doi.org/10.1038/s41598-024-53376-7 |
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