186 related articles for article (PubMed ID: 29353434)
1. Prediction of progression in skull base meningiomas: additional benefits of apparent diffusion coefficient value.
Ko CC; Lim SW; Chen TY; Chen JH; Li CF; Shiue YL
J Neurooncol; 2018 May; 138(1):63-71. PubMed ID: 29353434
[TBL] [Abstract][Full Text] [Related]
2. Prediction of recurrence in solid nonfunctioning pituitary macroadenomas: additional benefits of diffusion-weighted MR imaging.
Ko CC; Chen TY; Lim SW; Kuo YT; Wu TC; Chen JH
J Neurosurg; 2019 Feb; 132(2):351-359. PubMed ID: 30717054
[TBL] [Abstract][Full Text] [Related]
3. Prediction of Recurrence in Parasagittal and Parafalcine Meningiomas: Added Value of Diffusion-Weighted Magnetic Resonance Imaging.
Ko CC; Chen TY; Lim SW; Kuo YT; Wu TC; Chen JH
World Neurosurg; 2019 Apr; 124():e470-e479. PubMed ID: 30610981
[TBL] [Abstract][Full Text] [Related]
4. Radiomics approach for prediction of recurrence in skull base meningiomas.
Zhang Y; Chen JH; Chen TY; Lim SW; Wu TC; Kuo YT; Ko CC; Su MY
Neuroradiology; 2019 Dec; 61(12):1355-1364. PubMed ID: 31324948
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Correlation of the apparent diffusion coefficient with the standardized uptake value in meningioma of the skull plane using [68]Ga-DOTATOC PET/MRI.
Milosevic A; Styczen H; Haubold J; Kessler L; Grueneisen J; Li Y; Weber M; Fendler WP; Morawitz J; Damman P; Wrede K; Kebir S; Glas M; Guberina M; Blau T; Schaarschmidt BM; Deuschl C
Nucl Med Commun; 2023 Dec; 44(12):1106-1113. PubMed ID: 37823259
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. 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]
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 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]
15. Atypical and malignant canine intracranial meningiomas may have lower apparent diffusion coefficient values than benign tumors.
Fages J; Oura TJ; Sutherland-Smith J; Jennings SH
Vet Radiol Ultrasound; 2020 Jan; 61(1):40-47. PubMed ID: 31600030
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Role of ADC values and ratios of MRI scan in differentiating typical from atypical/anaplastic meningiomas.
Azeemuddin M; Nizamani WM; Tariq MU; Wasay M
J Pak Med Assoc; 2018 Sep; 68(9):1403-1406. PubMed ID: 30317276
[TBL] [Abstract][Full Text] [Related]
19. Long-term apparent diffusion coefficient value changes in patients undergoing radiosurgical treatment of meningiomas.
Berberat J; Roelcke U; Remonda L; Schwyzer L
Acta Neurochir (Wien); 2021 Jan; 163(1):89-95. PubMed ID: 32909068
[TBL] [Abstract][Full Text] [Related]
20. The diagnostic value of texture analysis in predicting WHO grades of meningiomas based on ADC maps: an attempt using decision tree and decision forest.
Lu Y; Liu L; Luan S; Xiong J; Geng D; Yin B
Eur Radiol; 2019 Mar; 29(3):1318-1328. PubMed ID: 30088065
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
