204 related articles for article (PubMed ID: 36035372)
1. Apparent Diffusion Coefficient Values and Dynamic Contrast-Enhanced Magnetic Resonance Perfusion are Potential Predictors for Grading Meningiomas.
Utomo SA; Bajamal AH; Yueniwati Y; Sanjaya ID; Fauziah D
Int J Med Sci; 2022; 19(9):1364-1376. PubMed ID: 36035372
[No Abstract] [Full Text] [Related]
2. 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]
3. 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]
4. Value of Apparent Diffusion Coefficient (ADC) and Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in Differentially Diagnosing Angiomatous Meningiomas and Solitary Fibrous Tumors/Hemangiopericytomas.
Chen C; Ren CP
Med Sci Monit; 2019 Aug; 25():5992-5996. PubMed ID: 31401642
[TBL] [Abstract][Full Text] [Related]
5. Use of Diffusion Weighted Imaging in Differentiating Between Maligant and Benign Meningiomas. A Multicenter Analysis.
Surov A; Ginat DT; Sanverdi E; Lim CCT; Hakyemez B; Yogi A; Cabada T; Wienke A
World Neurosurg; 2016 Apr; 88():598-602. PubMed ID: 26529294
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Improving the characterization of meningioma microstructure in proton therapy from conventional apparent diffusion coefficient measurements using Monte Carlo simulations of diffusion MRI.
Buizza G; Paganelli C; Ballati F; Sacco S; Preda L; Iannalfi A; Alexander DC; Baroni G; Palombo M
Med Phys; 2021 Mar; 48(3):1250-1261. PubMed ID: 33369744
[TBL] [Abstract][Full Text] [Related]
8. Correlation of apparent diffusion coefficient with Ki-67 proliferation index in grading meningioma.
Tang Y; Dundamadappa SK; Thangasamy S; Flood T; Moser R; Smith T; Cauley K; Takhtani D
AJR Am J Roentgenol; 2014 Jun; 202(6):1303-8. PubMed ID: 24848829
[TBL] [Abstract][Full Text] [Related]
9. Quantitative apparent diffusion coefficients in the characterization of brain tumors and associated peritumoral edema.
Server A; Kulle B; Maehlen J; Josefsen R; Schellhorn T; Kumar T; Langberg CW; Nakstad PH
Acta Radiol; 2009 Jul; 50(6):682-9. PubMed ID: 19449234
[TBL] [Abstract][Full Text] [Related]
10. Chordoid Meningioma: Differentiating a Rare World Health Organization Grade II Tumor from Other Meningioma Histologic Subtypes Using MRI.
Pond JB; Morgan TG; Hatanpaa KJ; Yetkin ZF; Mickey BE; Mendelsohn DB
AJNR Am J Neuroradiol; 2015 Jul; 36(7):1253-8. PubMed ID: 25882286
[TBL] [Abstract][Full Text] [Related]
11. The role of diffusion tensor imaging and dynamic susceptibility perfusion MRI in the evaluation of meningioma grade and subtype.
Zikou A; Alexiou GA; Goussia A; Kosta P; Xydis V; Voulgaris S; Kyritsis AP; Argyropoulou MI
Clin Neurol Neurosurg; 2016 Jul; 146():109-15. PubMed ID: 27208870
[TBL] [Abstract][Full Text] [Related]
12. Association of apparent diffusion coefficient with Ki-67 proliferation index, progesterone-receptor status and various histopathological parameters, and its utility in predicting the high grade in meningiomas.
Bozdağ M; Er A; Ekmekçi S
Acta Radiol; 2021 Mar; 62(3):401-413. PubMed ID: 32397733
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Preoperative predicting malignancy in breast mass-like lesions: value of adding histogram analysis of apparent diffusion coefficient maps to dynamic contrast-enhanced magnetic resonance imaging for improving confidence level.
Liu HL; Zong M; Wei H; Lou JJ; Wang SQ; Zou QG; Shi HB; Jiang YN
Br J Radiol; 2017 Nov; 90(1079):20170394. PubMed ID: 28876982
[TBL] [Abstract][Full Text] [Related]
15. Preoperative histological grading of meningiomas using apparent diffusion coefficient at 3T MRI.
Watanabe Y; Yamasaki F; Kajiwara Y; Takayasu T; Nosaka R; Akiyama Y; Sugiyama K; Kurisu K
Eur J Radiol; 2013 Apr; 82(4):658-63. PubMed ID: 23313707
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping.
Zhang S; Chiang GC; Knapp JM; Zecca CM; He D; Ramakrishna R; Magge RS; Pisapia DJ; Fine HA; Tsiouris AJ; Zhao Y; Heier LA; Wang Y; Kovanlikaya I
J Neuroradiol; 2020 Jun; 47(4):272-277. PubMed ID: 31136748
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Differentiating skull base chordomas and invasive pituitary adenomas with conventional MRI.
Gao A; Bai J; Cheng J; Cheng X; Li S; Zhang Z; Zhang Y
Acta Radiol; 2018 Nov; 59(11):1358-1364. PubMed ID: 29448805
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]