Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region
Abstract Background To research the first-order features of apparent diffusion coefficient (ADC) values on diffusion-weighted magnetic resonance imaging (DWI) in maxillofacial malignant mesenchymal tumours. Methods The clinical data of 12 patients with rare malignant mesenchymal tumours of the maxil...
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| Format: | Article |
| Language: | English |
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BMC
2021-09-01
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| Series: | BMC Oral Health |
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| Online Access: | https://doi.org/10.1186/s12903-021-01835-2 |
| _version_ | 1818888763971993600 |
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| author | Baoting Yu Chencui Huang Shuo Liu Tong Li Yuyao Guan Xuewei Zheng Jun Ding |
| author_facet | Baoting Yu Chencui Huang Shuo Liu Tong Li Yuyao Guan Xuewei Zheng Jun Ding |
| author_sort | Baoting Yu |
| collection | DOAJ |
| description | Abstract Background To research the first-order features of apparent diffusion coefficient (ADC) values on diffusion-weighted magnetic resonance imaging (DWI) in maxillofacial malignant mesenchymal tumours. Methods The clinical data of 12 patients with rare malignant mesenchymal tumours of the maxillofacial region (6 cases of sarcoma and 6 cases of lymphoma) treated in the hospital from May 2018 to June 2020 and were confirmed by postoperative pathology were retrospectively analyzed. The patients were all examined by 1.5T magnetic resonance imaging. PyRadiomics were used to extract radiomics imaging first-order features. Group differences in quantitative variables were examined using independent-samples t-tests. Results The voxels number of ADCmean and ADCmedian of sarcoma tissues were 44.9124 and 44.2064, respectively, significantly higher than those in lymphoma tissues (ADCmean (− 68.8379) and ADCmedian (− 74.0045)), the difference considered statistically significant, so do the ADCkurt and ADCskew. Conclusions The statistical difference of ADCmean and ADCmedian is significant, it is consistent with the outcome of the manual measurement of the ADC mean value of the most significant cross-section of twelve cases of lymphoma. Development of tumour volume based on the ADC parameter map of DWI demonstrates that the first-order ADC radiomics features analysis can provide new imaging markers for the differentiation of maxillofacial sarcoma and lymphoma. Therefore, first-order ADC features of ADCkurt combined ADCskew may improve the diagnosis level. |
| first_indexed | 2024-12-19T16:58:18Z |
| format | Article |
| id | doaj.art-73e547627c2a4fa086f64ccab7da817e |
| institution | Directory Open Access Journal |
| issn | 1472-6831 |
| language | English |
| last_indexed | 2024-12-19T16:58:18Z |
| publishDate | 2021-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Oral Health |
| spelling | doaj.art-73e547627c2a4fa086f64ccab7da817e2022-12-21T20:13:22ZengBMCBMC Oral Health1472-68312021-09-012111710.1186/s12903-021-01835-2Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial regionBaoting Yu0Chencui Huang1Shuo Liu2Tong Li3Yuyao Guan4Xuewei Zheng5Jun Ding6Department of Radiology, China-Japan Union Hospital of Jilin UniversityDepartment of Research Collaboration, R&D Center, Beijing Deepwise and League of PHD Technology Co. Ltd.Department of Radiology, China-Japan Union Hospital of Jilin UniversityDepartment of Radiology, China-Japan Union Hospital of Jilin UniversityDepartment of Radiology, China-Japan Union Hospital of Jilin UniversityDepartment of Radiology, China-Japan Union Hospital of Jilin UniversityDepartment of Radiology, China-Japan Union Hospital of Jilin UniversityAbstract Background To research the first-order features of apparent diffusion coefficient (ADC) values on diffusion-weighted magnetic resonance imaging (DWI) in maxillofacial malignant mesenchymal tumours. Methods The clinical data of 12 patients with rare malignant mesenchymal tumours of the maxillofacial region (6 cases of sarcoma and 6 cases of lymphoma) treated in the hospital from May 2018 to June 2020 and were confirmed by postoperative pathology were retrospectively analyzed. The patients were all examined by 1.5T magnetic resonance imaging. PyRadiomics were used to extract radiomics imaging first-order features. Group differences in quantitative variables were examined using independent-samples t-tests. Results The voxels number of ADCmean and ADCmedian of sarcoma tissues were 44.9124 and 44.2064, respectively, significantly higher than those in lymphoma tissues (ADCmean (− 68.8379) and ADCmedian (− 74.0045)), the difference considered statistically significant, so do the ADCkurt and ADCskew. Conclusions The statistical difference of ADCmean and ADCmedian is significant, it is consistent with the outcome of the manual measurement of the ADC mean value of the most significant cross-section of twelve cases of lymphoma. Development of tumour volume based on the ADC parameter map of DWI demonstrates that the first-order ADC radiomics features analysis can provide new imaging markers for the differentiation of maxillofacial sarcoma and lymphoma. Therefore, first-order ADC features of ADCkurt combined ADCskew may improve the diagnosis level.https://doi.org/10.1186/s12903-021-01835-2MaxillofacialMesenchymal tumoursMRIDWIRadiomics featureFirst-order feature |
| spellingShingle | Baoting Yu Chencui Huang Shuo Liu Tong Li Yuyao Guan Xuewei Zheng Jun Ding Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region BMC Oral Health Maxillofacial Mesenchymal tumours MRI DWI Radiomics feature First-order feature |
| title | Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region |
| title_full | Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region |
| title_fullStr | Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region |
| title_full_unstemmed | Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region |
| title_short | Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region |
| title_sort | application of first order feature analysis of dwi adc in rare malignant mesenchymal tumours of the maxillofacial region |
| topic | Maxillofacial Mesenchymal tumours MRI DWI Radiomics feature First-order feature |
| url | https://doi.org/10.1186/s12903-021-01835-2 |
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