141 related articles for article (PubMed ID: 36030110)
1. Discrimination between microcystic meningioma and atypical meningioma using whole-lesion apparent diffusion coefficient histogram analysis.
Liu X; Huang X; Han T; Li S; Xue C; Deng J; Zhou Q; Sun Q; Zhou J
Clin Radiol; 2022 Nov; 77(11):864-869. PubMed ID: 36030110
[TBL] [Abstract][Full Text] [Related]
2. ADC histogram parameters differentiating atypical from transitional meningiomas: correlation with Ki-67 proliferation index.
Han T; Liu X; Jing M; Zhang Y; Zhang B; Deng L; Zhou J
Acta Radiol; 2023 Dec; 64(12):3032-3041. PubMed ID: 37822165
[TBL] [Abstract][Full Text] [Related]
3. Apparent diffusion coefficient histogram analysis for differentiating fibroblastic meningiomas from non-fibroblastic WHO grade 1 meningiomas.
Han T; Long C; Liu X; Zhang Y; Zhang B; Deng L; Jing M; Zhou J
Clin Imaging; 2023 Dec; 104():110019. PubMed ID: 37976629
[TBL] [Abstract][Full Text] [Related]
4. Radiological indeterminate vestibular schwannoma and meningioma in cerebellopontine angle area: differentiating using whole-tumor histogram analysis of apparent diffusion coefficient.
Xu XQ; Li Y; Hong XN; Wu FY; Shi HB
Int J Neurosci; 2017 Feb; 127(2):183-190. PubMed ID: 26961388
[TBL] [Abstract][Full Text] [Related]
5. Whole-tumor histogram analysis of apparent diffusion coefficient in differentiating intracranial solitary fibrous tumor/hemangiopericytoma from angiomatous meningioma.
He W; Xiao X; Li X; Guo Y; Guo L; Liu X; Xu Y; Zhou J; Wu Y
Eur J Radiol; 2019 Mar; 112():186-191. PubMed ID: 30777209
[TBL] [Abstract][Full Text] [Related]
6. Differentiation of intracranial solitary fibrous tumor/hemangiopericytoma from atypical meningioma using apparent diffusion coefficient histogram analysis.
Liu X; Deng J; Sun Q; Xue C; Li S; Zhou Q; Huang X; Liu H; Zhou J
Neurosurg Rev; 2022 Jun; 45(3):2449-2456. PubMed ID: 35303202
[TBL] [Abstract][Full Text] [Related]
7. T1 and ADC histogram parameters may be an in vivo biomarker for predicting the grade, subtype, and proliferative activity of meningioma.
Cao T; Jiang R; Zheng L; Zhang R; Chen X; Wang Z; Jiang P; Chen Y; Zhong T; Chen H; Wu P; Xue Y; Lin L
Eur Radiol; 2023 Jan; 33(1):258-269. PubMed ID: 35953734
[TBL] [Abstract][Full Text] [Related]
8. Differentiating microcystic meningioma from atypical meningioma using diffusion-weighted imaging.
Xiaoai K; Qing Z; Lei H; Junlin Z
Neuroradiology; 2020 May; 62(5):601-607. PubMed ID: 31996968
[TBL] [Abstract][Full Text] [Related]
9. Utility of Apparent Diffusion Coefficient Histogram Analysis in Differentiating Microcystic Meningioma from Intracranial Solitary Fibrous Tumor.
Liu X; Han T; Wang Y; Ke X; Xue C; Deng J; Li S; Sun Q; Liu H; Zhou J
World Neurosurg; 2023 Jun; ():. PubMed ID: 37356483
[TBL] [Abstract][Full Text] [Related]
10. T2-Weighted Imaging and Apparent Diffusion Coefficient Histogram Parameters Predict Meningioma Consistency.
Han T; Liu X; Sun J; Long C; Jiang J; Zhou F; Zhao Z; Zhang B; Jing M; Deng L; Zhang Y; Zhou J
Acad Radiol; 2023 Dec; ():. PubMed ID: 38155025
[TBL] [Abstract][Full Text] [Related]
11. Differentiating angiomatous meningioma from atypical meningioma using histogram analysis of apparent diffusion coefficient maps.
Liu X; Han T; Wang Y; Liu H; Huang X; Zhou J
Quant Imaging Med Surg; 2023 Jul; 13(7):4160-4170. PubMed ID: 37456320
[TBL] [Abstract][Full Text] [Related]
12. Role of diffusion-weighted imaging in differentiating angiomatous meningioma from atypical meningioma.
Liu X; Wang Y; Wei J; Li S; Xue C; Deng J; Liu H; Sun Q; Zhang X; Zhou J
Clin Neurol Neurosurg; 2022 Oct; 221():107406. PubMed ID: 35932585
[TBL] [Abstract][Full Text] [Related]
13. The value of whole-volume apparent diffusion coefficient histogram analysis in preoperatively distinguishing intracranial solitary fibrous tumor and transitional meningioma.
Wang G; Zhou J
Front Oncol; 2023; 13():1155162. PubMed ID: 37260978
[TBL] [Abstract][Full Text] [Related]
14. Non-small cell lung cancer: Whole-lesion histogram analysis of the apparent diffusion coefficient for assessment of tumor grade, lymphovascular invasion and pleural invasion.
Tsuchiya N; Doai M; Usuda K; Uramoto H; Tonami H
PLoS One; 2017; 12(2):e0172433. PubMed ID: 28207858
[TBL] [Abstract][Full Text] [Related]
15. Histogram analysis of mono-exponential, bi-exponential and stretched-exponential diffusion-weighted MR imaging in predicting consistency of meningiomas.
Zheng L; Jiang P; Lin D; Chen X; Zhong T; Zhang R; Chen J; Song Y; Xue Y; Lin L
Cancer Imaging; 2023 Dec; 23(1):117. PubMed ID: 38053183
[TBL] [Abstract][Full Text] [Related]
16. Apparent diffusion coefficient (ADC) histogram analysis: differentiation of benign from malignant parotid gland tumors using readout-segmented diffusion-weighted imaging.
Zhang Z; Song C; Zhang Y; Wen B; Zhu J; Cheng J
Dentomaxillofac Radiol; 2019 Oct; 48(7):20190100. PubMed ID: 31265331
[TBL] [Abstract][Full Text] [Related]
17. Histological Grade of Meningioma: Prediction by Intravoxel Incoherent Motion Histogram Parameters.
Bohara M; Nakajo M; Kamimura K; Yoneyama T; Fukukura Y; Kiyao Y; Yonezawa H; Higa N; Kirishima M; Yoshiura T
Acad Radiol; 2020 Mar; 27(3):342-353. PubMed ID: 31151902
[TBL] [Abstract][Full Text] [Related]
18. The value of an apparent diffusion coefficient histogram model in predicting meningioma recurrence.
Han T; Liu X; Jing M; Zhang Y; Deng L; Zhang B; Zhou J
J Cancer Res Clin Oncol; 2023 Dec; 149(19):17427-17436. PubMed ID: 37878091
[TBL] [Abstract][Full Text] [Related]
19. The value of whole tumor apparent diffusion coefficient histogram parameters in predicting meningiomas progesterone receptor expression.
Zhao Z; Zhang J; Yuan S; Zhang H; Yin H; Wang G; Pan Y; Li Q
Neurosurg Rev; 2024 May; 47(1):235. PubMed ID: 38795181
[TBL] [Abstract][Full Text] [Related]
20. Characterization of testicular germ cell tumors: Whole-lesion histogram analysis of the apparent diffusion coefficient at 3T.
Min X; Feng Z; Wang L; Cai J; Yan X; Li B; Ke Z; Zhang P; You H
Eur J Radiol; 2018 Jan; 98():25-31. PubMed ID: 29279166
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
