These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
364 related articles for article (PubMed ID: 30421019)
1. Differentiation between pilocytic astrocytoma and glioblastoma: a decision tree model using contrast-enhanced magnetic resonance imaging-derived quantitative radiomic features. Dong F; Li Q; Xu D; Xiu W; Zeng Q; Zhu X; Xu F; Jiang B; Zhang M Eur Radiol; 2019 Aug; 29(8):3968-3975. PubMed ID: 30421019 [TBL] [Abstract][Full Text] [Related]
2. Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region-derived radiomic features and multiple classifiers. Dong F; Li Q; Jiang B; Zhu X; Zeng Q; Huang P; Chen S; Zhang M Eur Radiol; 2020 May; 30(5):3015-3022. PubMed ID: 32006166 [TBL] [Abstract][Full Text] [Related]
3. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme. Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472 [TBL] [Abstract][Full Text] [Related]
4. The Evaluation of Radiomic Models in Distinguishing Pilocytic Astrocytoma From Cystic Oligodendroglioma With Multiparametric MRI. Zhao Y; Lu Y; Li X; Zheng Y; Yin B J Comput Assist Tomogr; 2020; 44(6):969-976. PubMed ID: 32976261 [TBL] [Abstract][Full Text] [Related]
5. A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images. Zhang Z; Yang J; Ho A; Jiang W; Logan J; Wang X; Brown PD; McGovern SL; Guha-Thakurta N; Ferguson SD; Fave X; Zhang L; Mackin D; Court LE; Li J Eur Radiol; 2018 Jun; 28(6):2255-2263. PubMed ID: 29178031 [TBL] [Abstract][Full Text] [Related]
7. Radiogenomic analysis of PTEN mutation in glioblastoma using preoperative multi-parametric magnetic resonance imaging. Li Y; Liang Y; Sun Z; Xu K; Fan X; Li S; Zhang Z; Jiang T; Liu X; Wang Y Neuroradiology; 2019 Nov; 61(11):1229-1237. PubMed ID: 31218383 [TBL] [Abstract][Full Text] [Related]
8. Radiological features of infantile glioblastoma and desmoplastic infantile tumors: British Columbia's Children's Hospital experience. Bader A; Heran M; Dunham C; Steinbok P J Neurosurg Pediatr; 2015 Aug; 16(2):119-25. PubMed ID: 25955808 [TBL] [Abstract][Full Text] [Related]
9. Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI. Kim Y; Cho HH; Kim ST; Park H; Nam D; Kong DS Neuroradiology; 2018 Dec; 60(12):1297-1305. PubMed ID: 30232517 [TBL] [Abstract][Full Text] [Related]
10. A radiomics-based model to differentiate glioblastoma from solitary brain metastases. Su CQ; Chen XT; Duan SF; Zhang JX; You YP; Lu SS; Hong XN Clin Radiol; 2021 Aug; 76(8):629.e11-629.e18. PubMed ID: 34092362 [TBL] [Abstract][Full Text] [Related]
11. Development and validation of a multi-modality fusion deep learning model for differentiating glioblastoma from solitary brain metastases. Shen S; Li C; Fan Y; Lu S; Yan Z; Liu H; Zhou H; Zhang Z Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2024 Jan; 49(1):58-67. PubMed ID: 38615167 [TBL] [Abstract][Full Text] [Related]
12. A fully automatic multiparametric radiomics model for differentiation of adult pilocytic astrocytomas from high-grade gliomas. Park YW; Eom J; Kim D; Ahn SS; Kim EH; Kang SG; Chang JH; Kim SH; Lee SK Eur Radiol; 2022 Jul; 32(7):4500-4509. PubMed ID: 35141780 [TBL] [Abstract][Full Text] [Related]
13. Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach. Suh HB; Choi YS; Bae S; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK Eur Radiol; 2018 Sep; 28(9):3832-3839. PubMed ID: 29626238 [TBL] [Abstract][Full Text] [Related]
14. Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings. Prasanna P; Patel J; Partovi S; Madabhushi A; Tiwari P Eur Radiol; 2017 Oct; 27(10):4188-4197. PubMed ID: 27778090 [TBL] [Abstract][Full Text] [Related]
15. Primary central nervous system lymphoma and glioblastoma differentiation based on conventional magnetic resonance imaging by high-throughput SIFT features. Chen Y; Li Z; Wu G; Yu J; Wang Y; Lv X; Ju X; Chen Z Int J Neurosci; 2018 Jul; 128(7):608-618. PubMed ID: 29183170 [TBL] [Abstract][Full Text] [Related]
16. Ependymoma and pilocytic astrocytoma: Differentiation using radiomics approach based on machine learning. Li M; Wang H; Shang Z; Yang Z; Zhang Y; Wan H J Clin Neurosci; 2020 Aug; 78():175-180. PubMed ID: 32336636 [TBL] [Abstract][Full Text] [Related]
17. Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma. Elshafeey N; Kotrotsou A; Hassan A; Elshafei N; Hassan I; Ahmed S; Abrol S; Agarwal A; El Salek K; Bergamaschi S; Acharya J; Moron FE; Law M; Fuller GN; Huse JT; Zinn PO; Colen RR Nat Commun; 2019 Jul; 10(1):3170. PubMed ID: 31320621 [TBL] [Abstract][Full Text] [Related]
18. Content based image retrieval for MR image studies of brain tumors. Dube S; El-Saden S; Cloughesy TF; Sinha U Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():3337-40. PubMed ID: 17946561 [TBL] [Abstract][Full Text] [Related]
19. Analysis of heterogeneity of peritumoral T2 hyperintensity in patients with pretreatment glioblastoma: Prognostic value of MRI-based radiomics. Choi Y; Ahn KJ; Nam Y; Jang J; Shin NY; Choi HS; Jung SL; Kim BS Eur J Radiol; 2019 Nov; 120():108642. PubMed ID: 31546124 [TBL] [Abstract][Full Text] [Related]
20. Differentiation of Pilocytic Astrocytoma from Glioblastoma using a Machine-Learning framework based upon quantitative T1 perfusion MRI. Vats N; Sengupta A; Gupta RK; Patir R; Vaishya S; Ahlawat S; Saini J; Agarwal S; Singh A Magn Reson Imaging; 2023 May; 98():76-82. PubMed ID: 36572323 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]