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.
152 related articles for article (PubMed ID: 38943200)
41. 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]
42. Radiological Features for Predicting the Status of CD8-Positive Lymphocytes in HER2 Positive Breast Cancer. Fan Y; Li X; Zhong P; Guo H; Han D; Tian W; Fang J Balkan Med J; 2024 May; 41(3):213-221. PubMed ID: 38700366 [TBL] [Abstract][Full Text] [Related]
43. 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]
44. Preoperative prediction of CNS WHO grade and tumour aggressiveness in intracranial meningioma based on radiomics and structured semantics. Kalasauskas D; Kosterhon M; Kurz E; Schmidt L; Altmann S; Grauhan NF; Sommer C; Othman A; Brockmann MA; Ringel F; Keric N Sci Rep; 2024 Sep; 14(1):20586. PubMed ID: 39232068 [TBL] [Abstract][Full Text] [Related]
45. Meningioma grading using conventional MRI histogram analysis based on 3D tumor measurement. Li X; Miao Y; Han L; Dong J; Guo Y; Shang Y; Xie L; Song Q; Liu A Eur J Radiol; 2019 Jan; 110():45-53. PubMed ID: 30599872 [TBL] [Abstract][Full Text] [Related]
46. 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]
47. DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management. Nassiri F; Mamatjan Y; Suppiah S; Badhiwala JH; Mansouri S; Karimi S; Saarela O; Poisson L; Gepfner-Tuma I; Schittenhelm J; Ng HK; Noushmehr H; Harter P; Baumgarten P; Weller M; Preusser M; Herold-Mende C; Tatagiba M; Tabatabai G; Sahm F; von Deimling A; ; Zadeh G; Aldape KD Neuro Oncol; 2019 Jul; 21(7):901-910. PubMed ID: 31158293 [TBL] [Abstract][Full Text] [Related]
48. A radiomics nomogram for predicting the meningioma grade based on enhanced Duan C; Zhou X; Wang J; Li N; Liu F; Gao S; Liu X; Xu W Br J Radiol; 2022 Sep; 95(1137):20220141. PubMed ID: 35816518 [TBL] [Abstract][Full Text] [Related]
49. Programmed death ligand 1 and tumor-infiltrating CD8 Zhang Y; Wang X; Shi M; Song Y; Yu J; Han S BMC Cancer; 2022 Nov; 22(1):1171. PubMed ID: 36371159 [TBL] [Abstract][Full Text] [Related]
50. Preoperative MRI evaluation of meningioma consistency: A focus on detailed architectures. Phuttharak W; Boonrod A; Thammaroj J; Kitkhuandee A; Waraasawapati S Clin Neurol Neurosurg; 2018 Jun; 169():178-184. PubMed ID: 29709881 [TBL] [Abstract][Full Text] [Related]
51. Supervised machine learning algorithms demonstrate proliferation index correlates with long-term recurrence after complete resection of WHO grade I meningioma. Nguyen MP; Morshed RA; Dalle Ore CL; Cummins DD; Saggi S; Chen WC; Choudhury A; Ravi A; Raleigh DR; Magill ST; McDermott MW; Theodosopoulos PV J Neurosurg; 2023 Jan; 138(1):86-94. PubMed ID: 36303473 [TBL] [Abstract][Full Text] [Related]