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 *

905 related articles for article (PubMed ID: 34270479)

  • 21. Epithelial salivary gland tumors: Utility of radiomics analysis based on diffusion-weighted imaging for differentiation of benign from malignant tumors.
    Shao S; Mao N; Liu W; Cui J; Xue X; Cheng J; Zheng N; Wang B
    J Xray Sci Technol; 2020; 28(4):799-808. PubMed ID: 32538891
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Apparent diffusion coefficient measurement in glioma: Influence of region-of-interest determination methods on apparent diffusion coefficient values, interobserver variability, time efficiency, and diagnostic ability.
    Han X; Suo S; Sun Y; Zu J; Qu J; Zhou Y; Chen Z; Xu J
    J Magn Reson Imaging; 2017 Mar; 45(3):722-730. PubMed ID: 27527072
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Preoperative grading of supratentorial nonenhancing gliomas by high b-value diffusion-weighted 3 T magnetic resonance imaging.
    Han H; Han C; Wu X; Zhong S; Zhuang X; Tan G; Wu H
    J Neurooncol; 2017 May; 133(1):147-154. PubMed ID: 28439776
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades.
    Zhang Z; Xiao J; Wu S; Lv F; Gong J; Jiang L; Yu R; Luo T
    J Digit Imaging; 2020 Aug; 33(4):826-837. PubMed ID: 32040669
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Correlation Between Apparent Diffusion Coefficient and the Ki-67 Proliferation Index in Grading Pediatric Glioma.
    Yao R; Cheng A; Zhang Z; Jin B; Yu H
    J Comput Assist Tomogr; 2023 Mar-Apr 01; 47(2):322-328. PubMed ID: 36957971
    [TBL] [Abstract][Full Text] [Related]  

  • 26. [Value of radiomics models based on MRI diffusion weighted imaging and apparent diffusion coefficient in differentiating benign and malignant thyroid nodules].
    Xu HJ; Yang Q; He P; Luo HH; Deng WM; Liu Z; Luo DH
    Zhonghua Yi Xue Za Zhi; 2023 Nov; 103(41):3279-3286. PubMed ID: 37926572
    [No Abstract]   [Full Text] [Related]  

  • 27. Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors.
    Moodi F; Khodadadi Shoushtari F; Ghadimi DJ; Valizadeh G; Khormali E; Salari HM; Ohadi MAD; Nilipour Y; Jahanbakhshi A; Rad HS
    J Magn Reson Imaging; 2024 Sep; 60(3):923-938. PubMed ID: 38031466
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
    Wang X; Wan Q; Chen H; Li Y; Li X
    Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
    Park YW; Choi YS; Ahn SS; Chang JH; Kim SH; Lee SK
    Korean J Radiol; 2019 Sep; 20(9):1381-1389. PubMed ID: 31464116
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients.
    Kim JY; Park JE; Jo Y; Shim WH; Nam SJ; Kim JH; Yoo RE; Choi SH; Kim HS
    Neuro Oncol; 2019 Feb; 21(3):404-414. PubMed ID: 30107606
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Diagnostic value of apparent diffusion coefficient in differentiating between high-grade gliomas and brain metastases.
    Caravan I; Ciortea CA; Contis A; Lebovici A
    Acta Radiol; 2018 May; 59(5):599-605. PubMed ID: 28835111
    [TBL] [Abstract][Full Text] [Related]  

  • 32. BTK Expression Level Prediction and the High-Grade Glioma Prognosis Using Radiomic Machine Learning Models.
    Jiang C; Sun C; Wang X; Ma S; Jia W; Zhang D
    J Imaging Inform Med; 2024 Aug; 37(4):1359-1374. PubMed ID: 38381384
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas.
    Server A; Kulle B; Gadmar ØB; Josefsen R; Kumar T; Nakstad PH
    Eur J Radiol; 2011 Nov; 80(2):462-70. PubMed ID: 20708868
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis.
    Nakamoto T; Takahashi W; Haga A; Takahashi S; Kiryu S; Nawa K; Ohta T; Ozaki S; Nozawa Y; Tanaka S; Mukasa A; Nakagawa K
    Sci Rep; 2019 Dec; 9(1):19411. PubMed ID: 31857632
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Glioma grading and IDH1 mutational status: assessment by intravoxel incoherent motion MRI.
    Wang X; Chen XZ; Shi L; Dai JP
    Clin Radiol; 2019 Aug; 74(8):651.e7-651.e14. PubMed ID: 31014573
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Role of Histogram Features on Arterial Spin Labeling Perfusion Magnetic Resonance Imaging in Identifying Isocitrate Dehydrogenase Genotypes and Glioma Malignancies.
    Su C; Peng C; Sun Y; Damen FC; Jiang R; Xie C; Cai K
    Turk Neurosurg; 2024; 34(4):578-587. PubMed ID: 38874235
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging.
    Bai Y; Lin Y; Tian J; Shi D; Cheng J; Haacke EM; Hong X; Ma B; Zhou J; Wang M
    Radiology; 2016 Feb; 278(2):496-504. PubMed ID: 26230975
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.
    Alis D; Bagcilar O; Senli YD; Yergin M; Isler C; Kocer N; Islak C; Kizilkilic O
    Jpn J Radiol; 2020 Feb; 38(2):135-143. PubMed ID: 31741126
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Preoperative grading of supratentorial gliomas using high or standard b-value diffusion-weighted MR imaging at 3T.
    Cihangiroglu MM; Ozturk-Isik E; Firat Z; Kilickesmez O; Ulug AM; Ture U
    Diagn Interv Imaging; 2017 Mar; 98(3):261-268. PubMed ID: 28038915
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Diagnostic performance of apparent diffusion coefficient parameters for glioma grading.
    Wang Q; Zhang J; Xu X; Chen X; Xu B
    J Neurooncol; 2018 Aug; 139(1):61-68. PubMed ID: 29574566
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 46.