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.
209 related articles for article (PubMed ID: 38840054)
1. Multiparameter MRI-based radiomics nomogram for preoperative prediction of brain invasion in atypical meningioma:a multicentre study. Yu J; Kong X; Xie D; Zheng F; Wang C; Shi D; He C; Liang X; Xu H; Li S; Chen X BMC Med Imaging; 2024 Jun; 24(1):134. PubMed ID: 38840054 [TBL] [Abstract][Full Text] [Related]
2. Multi-parametric MRI-based machine learning model for prediction of WHO grading in patients with meningiomas. Zhao Z; Nie C; Zhao L; Xiao D; Zheng J; Zhang H; Yan P; Jiang X; Zhao H Eur Radiol; 2024 Apr; 34(4):2468-2479. PubMed ID: 37812296 [TBL] [Abstract][Full Text] [Related]
3. A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study. Zhang J; Yao K; Liu P; Liu Z; Han T; Zhao Z; Cao Y; Zhang G; Zhang J; Tian J; Zhou J EBioMedicine; 2020 Aug; 58():102933. PubMed ID: 32739863 [TBL] [Abstract][Full Text] [Related]
4. MRI- and DWI-Based Radiomics Features for Preoperatively Predicting Meningioma Sinus Invasion. Gui Y; Chen F; Ren J; Wang L; Chen K; Zhang J J Imaging Inform Med; 2024 Jun; 37(3):1054-1066. PubMed ID: 38351221 [TBL] [Abstract][Full Text] [Related]
5. Prediction of meningioma grade by constructing a clinical radiomics model nomogram based on magnetic resonance imaging. Han T; Liu X; Long C; Xu Z; Geng Y; Zhang B; Deng L; Jing M; Zhou J Magn Reson Imaging; 2023 Dec; 104():16-22. PubMed ID: 37734573 [TBL] [Abstract][Full Text] [Related]
6. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma. Zhang J; Wang G; Ren J; Yang Z; Li D; Cui Y; Yang X Eur Radiol; 2022 Jun; 32(6):4079-4089. PubMed ID: 35050415 [TBL] [Abstract][Full Text] [Related]
7. Combined radiomics nomogram of different machine learning models for preoperative distinguishing intraspinal schwannomas and meningiomas: a multicenter and comparative study. Xu Z; Wang YH; Cheng ZY; Feng YZ; Li XC; Zhou Q; Cai XR Clin Radiol; 2024 Sep; 79(9):e1108-e1116. PubMed ID: 38849236 [TBL] [Abstract][Full Text] [Related]
8. Meningiomas: Preoperative predictive histopathological grading based on radiomics of MRI. Han Y; Wang T; Wu P; Zhang H; Chen H; Yang C Magn Reson Imaging; 2021 Apr; 77():36-43. PubMed ID: 33220449 [TBL] [Abstract][Full Text] [Related]
9. Accuracy of Radiomics-Based Feature Analysis on Multiparametric Magnetic Resonance Images for Noninvasive Meningioma Grading. Laukamp KR; Shakirin G; Baeßler B; Thiele F; Zopfs D; Große Hokamp N; Timmer M; Kabbasch C; Perkuhn M; Borggrefe J World Neurosurg; 2019 Dec; 132():e366-e390. PubMed ID: 31476455 [TBL] [Abstract][Full Text] [Related]
10. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study. Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592 [TBL] [Abstract][Full Text] [Related]
11. Noninvasive prediction of IDH mutation status in gliomas using preoperative multiparametric MRI radiomics nomogram: A mutlicenter study. Lu J; Xu W; Chen X; Wang T; Li H Magn Reson Imaging; 2023 Dec; 104():72-79. PubMed ID: 37778708 [TBL] [Abstract][Full Text] [Related]
12. Nomogram based on MRI can preoperatively predict brain invasion in meningioma. Zhang J; Cao Y; Zhang G; Zhao Z; Sun J; Li W; Ren J; Han T; Zhou J; Chen K Neurosurg Rev; 2022 Dec; 45(6):3729-3737. PubMed ID: 36180806 [TBL] [Abstract][Full Text] [Related]
13. Extensive peritumoral edema and brain-to-tumor interface MRI features enable prediction of brain invasion in meningioma: development and validation. Joo L; Park JE; Park SY; Nam SJ; Kim YH; Kim JH; Kim HS Neuro Oncol; 2021 Feb; 23(2):324-333. PubMed ID: 32789495 [TBL] [Abstract][Full Text] [Related]
14. Preoperative Prediction of Meningioma Subtype by Constructing a Clinical-Radiomics Model Nomogram Based on Magnetic Resonance Imaging. Han T; Liu X; Xu Z; Geng Y; Zhang B; Deng L; Jing M; Zhou J World Neurosurg; 2024 Jan; 181():e203-e213. PubMed ID: 37813337 [TBL] [Abstract][Full Text] [Related]
15. A radiomics model enables prediction venous sinus invasion in meningioma. Wang L; Cao Y; Zhang G; Sun D; Zhou W; Li W; Zhou J; Chen K; Zhang J Ann Clin Transl Neurol; 2023 Aug; 10(8):1284-1295. PubMed ID: 37408500 [TBL] [Abstract][Full Text] [Related]
16. A radiomics nomogram based on multiparametric MRI for diagnosing focal cortical dysplasia and initially identifying laterality. Chen SQ; Wei L; He K; Xiao YW; Zhang ZT; Dai JK; Shu T; Sun XY; Wu D; Luo Y; Gui YF; Xiao XL BMC Med Imaging; 2024 Aug; 24(1):216. PubMed ID: 39148028 [TBL] [Abstract][Full Text] [Related]
17. A radiomics nomogram for predicting the meningioma grade based on enhanced Duan C; Zhou X; Wang J; Li N; Liu F; Gao S; Liu X; Xu W Br J Radiol; 2022 Sep; 95(1137):20220141. PubMed ID: 35816518 [TBL] [Abstract][Full Text] [Related]
18. Presurgical detection of brain invasion status in meningiomas based on first-order histogram based texture analysis of contrast enhanced imaging. Kandemirli SG; Chopra S; Priya S; Ward C; Locke T; Soni N; Srivastava S; Jones K; Bathla G Clin Neurol Neurosurg; 2020 Nov; 198():106205. PubMed ID: 32932028 [TBL] [Abstract][Full Text] [Related]
19. Deep learning-based automatic segmentation of meningioma from multiparametric MRI for preoperative meningioma differentiation using radiomic features: a multicentre study. Chen H; Li S; Zhang Y; Liu L; Lv X; Yi Y; Ruan G; Ke C; Feng Y Eur Radiol; 2022 Oct; 32(10):7248-7259. PubMed ID: 35420299 [TBL] [Abstract][Full Text] [Related]
20. A Predictive Nomogram for Atypical Meningioma Based On Preoperative Magnetic Resonance Imaging and Routine Blood Tests. Lin Y; Dai P; Lin Q; Chen J World Neurosurg; 2022 Jul; 163():e610-e616. PubMed ID: 35430397 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]