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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

226 related articles for article (PubMed ID: 30831287)

  • 1. Differentiation Researches on the Meningioma Subtypes by Radiomics from Contrast-Enhanced Magnetic Resonance Imaging: A Preliminary Study.
    Niu L; Zhou X; Duan C; Zhao J; Sui Q; Liu X; Zhang X
    World Neurosurg; 2019 Jun; 126():e646-e652. PubMed ID: 30831287
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging.
    Park YW; Oh J; You SC; Han K; Ahn SS; Choi YS; Chang JH; Kim SH; Lee SK
    Eur Radiol; 2019 Aug; 29(8):4068-4076. PubMed ID: 30443758
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. A deep learning radiomics model for preoperative grading in meningioma.
    Zhu Y; Man C; Gong L; Dong D; Yu X; Wang S; Fang M; Wang S; Fang X; Chen X; Tian J
    Eur J Radiol; 2019 Jul; 116():128-134. PubMed ID: 31153553
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Investigation of blood flow in meningothelial and fibrous meningiomas by xenon-enhanced CT scanning.
    Nakatsuka M; Mizuno S
    Neurol Res; 2000 Sep; 22(6):615-9. PubMed ID: 11045026
    [TBL] [Abstract][Full Text] [Related]  

  • 7. WHO grade I meningioma subtypes: MRI features and pathological analysis.
    Zhang T; Yu JM; Wang YQ; Yin DD; Fang LJ
    Life Sci; 2018 Nov; 213():50-56. PubMed ID: 30153449
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Application of magnetic resonance fingerprinting to differentiate grade I transitional and fibrous meningiomas from meningothelial meningiomas.
    Zhang R; Shen Y; Bai Y; Zhang X; Wei W; Lin R; Feng Q; Wang M; Zhang M; Nittka M; Koerzdoerfer G; Wang M
    Quant Imaging Med Surg; 2021 Apr; 11(4):1447-1457. PubMed ID: 33816181
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A radiopathological classification of dural tail sign of meningiomas.
    Qi ST; Liu Y; Pan J; Chotai S; Fang LX
    J Neurosurg; 2012 Oct; 117(4):645-53. PubMed ID: 22839654
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Preoperative Prediction of Solitary Fibrous Tumor/Hemangiopericytoma and Angiomatous Meningioma Using Magnetic Resonance Imaging Texture Analysis.
    Kanazawa T; Minami Y; Jinzaki M; Toda M; Yoshida K; Sasaki H
    World Neurosurg; 2018 Dec; 120():e1208-e1216. PubMed ID: 30240864
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The role of three-dimensional pseudo-continuous arterial spin labelling in grading and differentiating histological subgroups of meningiomas.
    Lu Y; Xiong J; Yin B; Wen J; Liu L; Geng D
    Clin Radiol; 2018 Feb; 73(2):176-184. PubMed ID: 29031810
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation parameters between intra-voxel incoherent motion and diffusion-weighted imaging in grading and differentiating histological subtypes of meningioma: A prospective pilot study.
    Yiping L; Kawai S; Jianbo W; Li L; Daoying G; Bo Y
    J Neurol Sci; 2017 Jan; 372():60-69. PubMed ID: 28017250
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dynamic susceptibility contrast and dynamic contrast-enhanced MRI characteristics to distinguish microcystic meningiomas from traditional Grade I meningiomas and high-grade gliomas.
    Hussain NS; Moisi MD; Keogh B; McCullough BJ; Rostad S; Newell D; Gwinn R; Foltz G; Mayberg M; Aguedan B; Good V; Fouke SJ
    J Neurosurg; 2017 Apr; 126(4):1220-1226. PubMed ID: 27285539
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Preoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic Subtypes.
    Baal JD; Chen WC; Solomon DA; Pai JS; Lucas CH; Hara JH; Oberheim Bush NA; McDermott MW; Raleigh DR; Villanueva-Meyer JE
    AJNR Am J Neuroradiol; 2019 Mar; 40(3):433-439. PubMed ID: 30819773
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study.
    Hamerla G; Meyer HJ; Schob S; Ginat DT; Altman A; Lim T; Gihr GA; Horvath-Rizea D; Hoffmann KT; Surov A
    Magn Reson Imaging; 2019 Nov; 63():244-249. PubMed ID: 31425811
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Accuracy of deep learning to differentiate the histopathological grading of meningiomas on MR images: A preliminary study.
    Banzato T; Causin F; Della Puppa A; Cester G; Mazzai L; Zotti A
    J Magn Reson Imaging; 2019 Oct; 50(4):1152-1159. PubMed ID: 30896065
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Magnetic Resonance Imaging (MRI) Differential Diagnosis of Meningiomas Using ANOVA.
    Liu J; Chen J; Zha Y; Huang Y; Zeng F
    Contrast Media Mol Imaging; 2021; 2021():4799116. PubMed ID: 34354552
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Determination of grade and subtype of meningiomas by using histogram analysis of diffusion-tensor imaging metrics.
    Wang S; Kim S; Zhang Y; Wang L; Lee EB; Syre P; Poptani H; Melhem ER; Lee JY
    Radiology; 2012 Feb; 262(2):584-92. PubMed ID: 22084207
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine learning-based radiomics analysis in predicting the meningioma grade using multiparametric MRI.
    Hu J; Zhao Y; Li M; Liu J; Wang F; Weng Q; Wang X; Cao D
    Eur J Radiol; 2020 Oct; 131():109251. PubMed ID: 32916409
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.