α- and β-Genotyping of Thalassemia Patients Based on a Multimodal Liver MRI Radiomics Model: A Preliminary Study in Two Centers
Background: So far, there is no non-invasive method that can popularize the genetic testing of thalassemia (TM) patients on a large scale. The purpose of the study was to investigate the value of predicting the α- and β- genotypes of TM patients based on a liver MRI radiomics model. Methods: Radiomi...
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| Format: | Article |
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MDPI AG
2023-03-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/13/5/958 |
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| author | Fengming Xu Qing Feng Jixing Yi Cheng Tang Huashan Lin Bumin Liang Chaotian Luo Kaiming Guan Tao Li Peng Peng |
| author_facet | Fengming Xu Qing Feng Jixing Yi Cheng Tang Huashan Lin Bumin Liang Chaotian Luo Kaiming Guan Tao Li Peng Peng |
| author_sort | Fengming Xu |
| collection | DOAJ |
| description | Background: So far, there is no non-invasive method that can popularize the genetic testing of thalassemia (TM) patients on a large scale. The purpose of the study was to investigate the value of predicting the α- and β- genotypes of TM patients based on a liver MRI radiomics model. Methods: Radiomics features of liver MRI image data and clinical data of 175 TM patients were extracted using Analysis Kinetics (AK) software. The radiomics model with optimal predictive performance was combined with the clinical model to construct a joint model. The predictive performance of the model was evaluated in terms of AUC, accuracy, sensitivity, and specificity. Results: The T2 model showed the best predictive performance: the AUC, accuracy, sensitivity, and specificity of the validation group were 0.88, 0.865, 0.875, and 0.833, respectively. The joint model constructed from T2 image features and clinical features showed higher predictive performance: the AUC, accuracy, sensitivity, and specificity of the validation group were 0.91, 0.846, 0.9, and 0.667, respectively. Conclusion: The liver MRI radiomics model is feasible and reliable for predicting α- and β-genotypes in TM patients. |
| first_indexed | 2024-03-11T07:27:48Z |
| format | Article |
| id | doaj.art-9a9f6ca65bb148f0bef2a544bdffd1c3 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-11T07:27:48Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-9a9f6ca65bb148f0bef2a544bdffd1c32023-11-17T07:30:30ZengMDPI AGDiagnostics2075-44182023-03-0113595810.3390/diagnostics13050958α- and β-Genotyping of Thalassemia Patients Based on a Multimodal Liver MRI Radiomics Model: A Preliminary Study in Two CentersFengming Xu0Qing Feng1Jixing Yi2Cheng Tang3Huashan Lin4Bumin Liang5Chaotian Luo6Kaiming Guan7Tao Li8Peng Peng9Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, ChinaDepartment of Radiology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou Worker’s Hospital, Liuzhou 545005, ChinaDepartment of Radiology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou Worker’s Hospital, Liuzhou 545005, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, ChinaDepartment of Pharmaceutical Diagnosis, GE Healthcare, Changsha 410005, ChinaNHC Key Laboratory of Thalassemia Medicine, Guangxi Medical University, Nanning 530021, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, ChinaDepartment of Radiology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou Worker’s Hospital, Liuzhou 545005, ChinaDepartment of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, ChinaBackground: So far, there is no non-invasive method that can popularize the genetic testing of thalassemia (TM) patients on a large scale. The purpose of the study was to investigate the value of predicting the α- and β- genotypes of TM patients based on a liver MRI radiomics model. Methods: Radiomics features of liver MRI image data and clinical data of 175 TM patients were extracted using Analysis Kinetics (AK) software. The radiomics model with optimal predictive performance was combined with the clinical model to construct a joint model. The predictive performance of the model was evaluated in terms of AUC, accuracy, sensitivity, and specificity. Results: The T2 model showed the best predictive performance: the AUC, accuracy, sensitivity, and specificity of the validation group were 0.88, 0.865, 0.875, and 0.833, respectively. The joint model constructed from T2 image features and clinical features showed higher predictive performance: the AUC, accuracy, sensitivity, and specificity of the validation group were 0.91, 0.846, 0.9, and 0.667, respectively. Conclusion: The liver MRI radiomics model is feasible and reliable for predicting α- and β-genotypes in TM patients.https://www.mdpi.com/2075-4418/13/5/958radiomicsthalassemiagenotypemagnetic resonance imagingmodel |
| spellingShingle | Fengming Xu Qing Feng Jixing Yi Cheng Tang Huashan Lin Bumin Liang Chaotian Luo Kaiming Guan Tao Li Peng Peng α- and β-Genotyping of Thalassemia Patients Based on a Multimodal Liver MRI Radiomics Model: A Preliminary Study in Two Centers Diagnostics radiomics thalassemia genotype magnetic resonance imaging model |
| title | α- and β-Genotyping of Thalassemia Patients Based on a Multimodal Liver MRI Radiomics Model: A Preliminary Study in Two Centers |
| title_full | α- and β-Genotyping of Thalassemia Patients Based on a Multimodal Liver MRI Radiomics Model: A Preliminary Study in Two Centers |
| title_fullStr | α- and β-Genotyping of Thalassemia Patients Based on a Multimodal Liver MRI Radiomics Model: A Preliminary Study in Two Centers |
| title_full_unstemmed | α- and β-Genotyping of Thalassemia Patients Based on a Multimodal Liver MRI Radiomics Model: A Preliminary Study in Two Centers |
| title_short | α- and β-Genotyping of Thalassemia Patients Based on a Multimodal Liver MRI Radiomics Model: A Preliminary Study in Two Centers |
| title_sort | α and β genotyping of thalassemia patients based on a multimodal liver mri radiomics model a preliminary study in two centers |
| topic | radiomics thalassemia genotype magnetic resonance imaging model |
| url | https://www.mdpi.com/2075-4418/13/5/958 |
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