219 related articles for article (PubMed ID: 31857531)
1. The Predictive Value of Conventional Magnetic Resonance Imaging Sequences on Operative Findings and Histopathology of Intracranial Meningiomas: A Prospective Study.
Karthigeyan M; Dhandapani S; Salunke P; Singh P; Radotra BD; Gupta SK
Neurol India; 2019; 67(6):1439-1445. PubMed ID: 31857531
[TBL] [Abstract][Full Text] [Related]
2. Preoperative neuroimaging findings as a predictor of the surgical plane of cleavage: prospective study of 100 consecutive cases of intracranial meningioma.
Alvernia JE; Sindou MP
J Neurosurg; 2004 Mar; 100(3):422-30. PubMed ID: 15035277
[TBL] [Abstract][Full Text] [Related]
3. Predictors of Morbidity and Cleavage Plane in Surgical Resection of Pure Convexity Meningiomas Using Cerebrospinal Fluid Sensitive Image Subtraction Magnetic Resonance Imaging.
Thenier-Villa JL; Alejandro Galárraga Campoverde R; Ramón DE LA Lama Zaragoza A; Conde Alonso C
Neurol Med Chir (Tokyo); 2017 Jan; 57(1):35-43. PubMed ID: 27580930
[TBL] [Abstract][Full Text] [Related]
4. Predictors of meningioma consistency: A study in 243 consecutive cases.
Sitthinamsuwan B; Khampalikit I; Nunta-aree S; Srirabheebhat P; Witthiwej T; Nitising A
Acta Neurochir (Wien); 2012 Aug; 154(8):1383-9. PubMed ID: 22743797
[TBL] [Abstract][Full Text] [Related]
5. Usefulness of a Rim-Enhancing Pattern on the Contrast-Enhanced 3D-FLAIR Sequence and MRI Characteristics for Distinguishing Meningioma and Malignant Dural-Based Tumor.
Panyaping T; Punpichet M; Tunlayadechanont P; Tritanon O
AJNR Am J Neuroradiol; 2023 Mar; 44(3):247-253. PubMed ID: 36732030
[TBL] [Abstract][Full Text] [Related]
6. How to predict the consistency and vascularity of meningiomas by MRI: an institutional experience.
Winter F; Furtner J; Pleyel A; Woehrer A; Callegari K; Hosmann A; Herta J; Roessler K; Dorfer C
Neurol Res; 2021 Aug; 43(8):693-699. PubMed ID: 33906575
[TBL] [Abstract][Full Text] [Related]
7. Radiologic and histologic features of the T2 hyperintensity rim of meningiomas on magnetic resonance images.
Uchida H; Hirano H; Moinuddin FM; Hanaya R; Sadamura Y; Hosoyama H; Yonezawa H; Tokimura H; Yamahata H; Arita K
Neuroradiol J; 2017 Feb; 30(1):48-56. PubMed ID: 28059671
[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. Multi-parametric qualitative and quantitative MRI assessment as predictor of histological grading in previously treated meningiomas.
Sacco S; Ballati F; Gaetani C; Lomoro P; Farina LM; Bacila A; Imparato S; Paganelli C; Buizza G; Iannalfi A; Baroni G; Valvo F; Bastianello S; Preda L
Neuroradiology; 2020 Nov; 62(11):1441-1449. PubMed ID: 32583368
[TBL] [Abstract][Full Text] [Related]
10. Meningioma Consistency: Correlation Between Magnetic Resonance Imaging Characteristics, Operative Findings, and Histopathological Features.
Alyamany M; Alshardan MM; Jamea AA; ElBakry N; Soualmi L; Orz Y
Asian J Neurosurg; 2018; 13(2):324-328. PubMed ID: 29682029
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. The rim pattern of meningioma on 3D FLAIR imaging: correlation with tumor-brain adhesion and histological grading.
Enokizono M; Morikawa M; Matsuo T; Hayashi T; Horie N; Honda S; Ideguchi R; Nagata I; Uetani M
Magn Reson Med Sci; 2014; 13(4):251-60. PubMed ID: 25167879
[TBL] [Abstract][Full Text] [Related]
13. Role of MR Morphology and Diffusion-Weighted Imaging in the Evaluation of Meningiomas: Radio-Pathologic Correlation.
Ranabhat K; Bishokarma S; Agrawal P; Shrestha P; Panth R; Ghimire RK
JNMA J Nepal Med Assoc; 2019; 57(215):37-44. PubMed ID: 31080244
[TBL] [Abstract][Full Text] [Related]
14. Prediction of hard meningiomas: quantitative evaluation based on the magnetic resonance signal intensity.
Watanabe K; Kakeda S; Yamamoto J; Ide S; Ohnari N; Nishizawa S; Korogi Y
Acta Radiol; 2016 Mar; 57(3):333-40. PubMed ID: 25824207
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Relationship between contrast enhancement on fluid-attenuated inversion recovery MR sequences and signal intensity on T2-weighted MR images: visual evaluation of brain tumors.
Kubota T; Yamada K; Kizu O; Hirota T; Ito H; Ishihara K; Nishimura T
J Magn Reson Imaging; 2005 Jun; 21(6):694-700. PubMed ID: 15906343
[TBL] [Abstract][Full Text] [Related]
17. Low-field MR imaging of meningiomas including dynamic contrast enhancement study: evaluation of surgical and histopathologic characteristics.
Yrjänä SK; Tuominen H; Karttunen A; Lähdesluoma N; Heikkinen E; Koivukangas J
AJNR Am J Neuroradiol; 2006; 27(10):2128-34. PubMed ID: 17110681
[TBL] [Abstract][Full Text] [Related]
18. Computed tomography and magnetic resonance appearance of sporadic meningioangiomatosis correlated with pathological findings.
Yao Z; Wang Y; Zee C; Feng X; Sun H
J Comput Assist Tomogr; 2009; 33(5):799-804. PubMed ID: 19820515
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of the tumor-brain interface of intracranial meningiomas on MR imaging including FLAIR images.
Takeguchi T; Miki H; Shimizu T; Kikuchi K; Mochizuki T; Ohue S; Ohnishi T
Magn Reson Med Sci; 2003 Dec; 2(4):165-9. PubMed ID: 16222110
[TBL] [Abstract][Full Text] [Related]
20. Benefits of Combined MRI Sequences in Meningioma Consistency Prediction: A Prospective Study of 287 Consecutive Patients.
Limpastan K; Unsrisong K; Vaniyapong T; Norasetthada T; Watcharasaksilp W; Jetjumnong C
Asian J Neurosurg; 2022 Dec; 17(4):614-620. PubMed ID: 36570751
[No Abstract] [Full Text] [Related]
[Next] [New Search]
