161 related articles for article (PubMed ID: 30771548)
1. Predictors of Epilepsy Presentation in Unruptured Brain Arteriovenous Malformations: A Quantitative Evaluation of Location and Radiomics Features on T2-Weighted Imaging.
Zhang Y; Yan P; Liang F; Ma C; Liang S; Jiang C
World Neurosurg; 2019 May; 125():e1008-e1015. PubMed ID: 30771548
[TBL] [Abstract][Full Text] [Related]
2. Magnetic resonance radiomics-derived sphericity correlates with seizure in brain arteriovenous malformations.
Lin JY; Lu CF; Hu YS; Yang HC; Liu YT; Loo JK; Lee KL; Liao CY; Chang FC; Liou KD; Lin CJ
Eur Radiol; 2024 Jan; 34(1):588-599. PubMed ID: 37553487
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of Angioarchitectural Features of Unruptured Brain Arteriovenous Malformation by Susceptibility Weighted Imaging.
Wu CX; Ma L; Chen XZ; Chen XL; Chen Y; Zhao YL; Hess C; Kim H; Jin HW; Ma J
World Neurosurg; 2018 Aug; 116():e1015-e1022. PubMed ID: 29859363
[TBL] [Abstract][Full Text] [Related]
4. Radiomics Analysis for Predicting Epilepsy in Patients With Unruptured Brain Arteriovenous Malformations.
Zhao S; Zhao Q; Jiao Y; Li H; Weng J; Huo R; Wang J; Xu H; Zhang J; Li Y; Wu Z; Wang S; Cao Y; Zhao J
Front Neurol; 2021; 12():767165. PubMed ID: 34975726
[No Abstract] [Full Text] [Related]
5. Quantitative evaluation of the hemodynamic differences between ruptured and unruptured cerebral arteriovenous malformations using angiographic parametric imaging-derived radiomics features.
Zhu H; Zhang Y; Li C; Ma C; Liang F; Liang S; Jiang P; Jiang C
Neuroradiology; 2023 Jan; 65(1):185-194. PubMed ID: 35922586
[TBL] [Abstract][Full Text] [Related]
6. A Triple-Classification Radiomics Model for the Differentiation of Primary Chordoma, Giant Cell Tumor, and Metastatic Tumor of Sacrum Based on T2-Weighted and Contrast-Enhanced T1-Weighted MRI.
Yin P; Mao N; Zhao C; Wu J; Chen L; Hong N
J Magn Reson Imaging; 2019 Mar; 49(3):752-759. PubMed ID: 30430686
[TBL] [Abstract][Full Text] [Related]
7. Multimodality Management of Spetzler-Martin Grade 3 Brain Arteriovenous Malformations with Subgroup Analysis.
Abecassis IJ; Nerva JD; Feroze A; Barber J; Ghodke BV; Kim LJ; Sekhar LN
World Neurosurg; 2017 Jun; 102():263-274. PubMed ID: 28323192
[TBL] [Abstract][Full Text] [Related]
8. Machine Learning Models for Brain Arteriovenous Malformations Presenting with Hemorrhage Based on Clinical and Angioarchitectural Characteristics.
Tao W; Li S; Zeng C; Chen Z; Huang Z; Chen F
Acad Radiol; 2024 Apr; 31(4):1583-1593. PubMed ID: 37783607
[TBL] [Abstract][Full Text] [Related]
9. A supplementary grading scale combining lesion-to-eloquence distance for predicting surgical outcomes of patients with brain arteriovenous malformations.
Jiao Y; Lin F; Wu J; Li H; Wang L; Jin Z; Wang S; Cao Y
J Neurosurg; 2018 Feb; 128(2):530-540. PubMed ID: 28362235
[TBL] [Abstract][Full Text] [Related]
10. Brain Arteriovenous Malformations Located in Language Area: Surgical Outcomes and Risk Factors for Postoperative Language Deficits.
Jiao Y; Lin F; Wu J; Li H; Chen X; Li Z; Ma J; Cao Y; Wang S; Zhao J
World Neurosurg; 2017 Sep; 105():478-491. PubMed ID: 28602661
[TBL] [Abstract][Full Text] [Related]
11. A Machine Learning Model Predicts the Outcome of SRS for Residual Arteriovenous Malformations after Partial Embolization: A Real-World Clinical Obstacle.
Meng X; Gao D; He H; Sun S; Liu A; Jin H; Li Y
World Neurosurg; 2022 Jul; 163():e73-e82. PubMed ID: 35276397
[TBL] [Abstract][Full Text] [Related]
12. Natural history of brain arteriovenous malformations: systematic review.
Goldberg J; Raabe A; Bervini D
J Neurosurg Sci; 2018 Aug; 62(4):437-443. PubMed ID: 29595047
[TBL] [Abstract][Full Text] [Related]
13. Radiomics features on non-contrast-enhanced CT scan can precisely classify AVM-related hematomas from other spontaneous intraparenchymal hematoma types.
Zhang Y; Zhang B; Liang F; Liang S; Zhang Y; Yan P; Ma C; Liu A; Guo F; Jiang C
Eur Radiol; 2019 Apr; 29(4):2157-2165. PubMed ID: 30306329
[TBL] [Abstract][Full Text] [Related]
14. Shortened cerebral circulation time correlates with seizures in brain arteriovenous malformation: a cross-sectional quantitative digital subtraction angiography study.
Loo JK; Hu YS; Lin TM; Lin CJ; Lirng JF; Wu HM; Yang HC; Lee CC; Luo CB; Guo WY
Eur Radiol; 2022 Aug; 32(8):5402-5412. PubMed ID: 35320410
[TBL] [Abstract][Full Text] [Related]
15. MRI-Based Radiomics Approach for Differentiating Juvenile Myoclonic Epilepsy from Epilepsy with Generalized Tonic-Clonic Seizures Alone.
Sim Y; Lee SK; Chu MK; Kim WJ; Heo K; Kim KM; Sohn B
J Magn Reson Imaging; 2024 Jul; 60(1):281-288. PubMed ID: 37814782
[TBL] [Abstract][Full Text] [Related]
16. More pronounced hemodynamic alterations in patients with brain arteriovenous malformation-associated epilepsy.
Sebök M; Germans MR; Niftrik CHBV; Kulcsár Z; Regli L; Fierstra J
Neurosurg Focus; 2022 Jul; 53(1):E4. PubMed ID: 35901748
[TBL] [Abstract][Full Text] [Related]
17. Investigation of MRI-based radiomics model in differentiation between sinonasal primary lymphomas and squamous cell carcinomas.
Wang X; Dai S; Wang Q; Chai X; Xian J
Jpn J Radiol; 2021 Aug; 39(8):755-762. PubMed ID: 33860416
[TBL] [Abstract][Full Text] [Related]
18. A Reanalysis of Predictors for the Risk of Hemorrhage in Brain Arteriovenous Malformation.
Huang Z; Peng K; Chen C; Zeng F; Wang J; Chen F
J Stroke Cerebrovasc Dis; 2018 Aug; 27(8):2082-2087. PubMed ID: 29622371
[TBL] [Abstract][Full Text] [Related]
19. Angioarchitectural features of brain arteriovenous malformation presented with seizures.
Yan L; Tao W; Zhan Q; Huang Z; Chen F; Li S
Neurosurg Rev; 2022 Aug; 45(4):2909-2918. PubMed ID: 35589870
[TBL] [Abstract][Full Text] [Related]
20. An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer.
Liang C; Cheng Z; Huang Y; He L; Chen X; Ma Z; Huang X; Liang C; Liu Z
Acad Radiol; 2018 Sep; 25(9):1111-1117. PubMed ID: 29428211
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
