The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary Study
ObjectivesTo investigate the diagnostic value of MRI-based texture analysis in discriminating common posterior fossa tumors, including medulloblastoma, brain metastatic tumor, and hemangioblastoma.MethodsA total number of 185 patients were enrolled in the current study: 63 of them were diagnosed wit...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-10-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fnins.2019.01113/full |
| _version_ | 1819118439486193664 |
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| author | Yang Zhang Yang Zhang Chaoyue Chen Chaoyue Chen Zerong Tian Zerong Tian Ridong Feng Ridong Feng Yangfan Cheng Jianguo Xu Jianguo Xu |
| author_facet | Yang Zhang Yang Zhang Chaoyue Chen Chaoyue Chen Zerong Tian Zerong Tian Ridong Feng Ridong Feng Yangfan Cheng Jianguo Xu Jianguo Xu |
| author_sort | Yang Zhang |
| collection | DOAJ |
| description | ObjectivesTo investigate the diagnostic value of MRI-based texture analysis in discriminating common posterior fossa tumors, including medulloblastoma, brain metastatic tumor, and hemangioblastoma.MethodsA total number of 185 patients were enrolled in the current study: 63 of them were diagnosed with medulloblastoma, 56 were diagnosed with brain metastatic tumor, and 66 were diagnosed with hemangioblastoma. Texture features were extracted from contrast-enhanced T1-weighted (T1C) images and fluid-attenuation inversion recovery (FLAIR) images within two matrixes. Mann–Whitney U test was conducted to identify whether texture features were significantly different among subtypes of tumors. Logistic regression analysis was performed to assess if they could be taken as independent predictors and to establish the integrated models. Receiver operating characteristic analysis was conducted to evaluate their performances in discrimination.ResultsThere were texture features from both T1C images and FLAIR images found to be significantly different among the three types of tumors. The integrated model represented that the promising diagnostic performance of texture analysis depended on a series of features rather than a single feature. Moreover, the predictive model that combined texture features and clinical feature implied feasible performance in prediction with an accuracy of 0.80.ConclusionMRI-based texture analysis could potentially be served as a radiological method in discrimination of common tumors located in posterior fossa. |
| first_indexed | 2024-12-22T05:48:54Z |
| format | Article |
| id | doaj.art-81a331db5d844ea3bd7079261c8872aa |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-12-22T05:48:54Z |
| publishDate | 2019-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-81a331db5d844ea3bd7079261c8872aa2022-12-21T18:36:55ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2019-10-011310.3389/fnins.2019.01113469980The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary StudyYang Zhang0Yang Zhang1Chaoyue Chen2Chaoyue Chen3Zerong Tian4Zerong Tian5Ridong Feng6Ridong Feng7Yangfan Cheng8Jianguo Xu9Jianguo Xu10Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, ChinaWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, ChinaWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, ChinaWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, ChinaWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, ChinaWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, ChinaDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, ChinaWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, ChinaObjectivesTo investigate the diagnostic value of MRI-based texture analysis in discriminating common posterior fossa tumors, including medulloblastoma, brain metastatic tumor, and hemangioblastoma.MethodsA total number of 185 patients were enrolled in the current study: 63 of them were diagnosed with medulloblastoma, 56 were diagnosed with brain metastatic tumor, and 66 were diagnosed with hemangioblastoma. Texture features were extracted from contrast-enhanced T1-weighted (T1C) images and fluid-attenuation inversion recovery (FLAIR) images within two matrixes. Mann–Whitney U test was conducted to identify whether texture features were significantly different among subtypes of tumors. Logistic regression analysis was performed to assess if they could be taken as independent predictors and to establish the integrated models. Receiver operating characteristic analysis was conducted to evaluate their performances in discrimination.ResultsThere were texture features from both T1C images and FLAIR images found to be significantly different among the three types of tumors. The integrated model represented that the promising diagnostic performance of texture analysis depended on a series of features rather than a single feature. Moreover, the predictive model that combined texture features and clinical feature implied feasible performance in prediction with an accuracy of 0.80.ConclusionMRI-based texture analysis could potentially be served as a radiological method in discrimination of common tumors located in posterior fossa.https://www.frontiersin.org/article/10.3389/fnins.2019.01113/fullmagnetic resonance imagingtexture analysisposterior fossa tumorsmedulloblastomabrain metastatic tumorhemangioblastoma |
| spellingShingle | Yang Zhang Yang Zhang Chaoyue Chen Chaoyue Chen Zerong Tian Zerong Tian Ridong Feng Ridong Feng Yangfan Cheng Jianguo Xu Jianguo Xu The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary Study Frontiers in Neuroscience magnetic resonance imaging texture analysis posterior fossa tumors medulloblastoma brain metastatic tumor hemangioblastoma |
| title | The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary Study |
| title_full | The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary Study |
| title_fullStr | The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary Study |
| title_full_unstemmed | The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary Study |
| title_short | The Diagnostic Value of MRI-Based Texture Analysis in Discrimination of Tumors Located in Posterior Fossa: A Preliminary Study |
| title_sort | diagnostic value of mri based texture analysis in discrimination of tumors located in posterior fossa a preliminary study |
| topic | magnetic resonance imaging texture analysis posterior fossa tumors medulloblastoma brain metastatic tumor hemangioblastoma |
| url | https://www.frontiersin.org/article/10.3389/fnins.2019.01113/full |
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