BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

242 related articles for article (PubMed ID: 35748897)

  • 21. Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma through dynamic contrast-enhanced magnetic resonance imaging-based radiomics.
    Zhang Y; He D; Liu J; Wei YG; Shi LL
    World J Gastroenterol; 2023 Apr; 29(13):2001-2014. PubMed ID: 37155523
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Texture Analysis of DCE-MRI Intratumoral Subregions to Identify Benign and Malignant Breast Tumors.
    Zhang B; Song L; Yin J
    Front Oncol; 2021; 11():688182. PubMed ID: 34307153
    [TBL] [Abstract][Full Text] [Related]  

  • 23. The value of MRI-based radiomics for evaluating early parotid gland injury in primary Sjögren's syndrome.
    Lu L; Dai T; Zhao Y; Qu H; Sun QA; Xia H; Wang W; Li G
    Clin Rheumatol; 2024 May; 43(5):1675-1682. PubMed ID: 38538907
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer.
    Cui Y; Liu H; Ren J; Du X; Xin L; Li D; Yang X; Wang D
    Eur Radiol; 2020 Apr; 30(4):1948-1958. PubMed ID: 31942672
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Development and validation of CT-based radiomics nomogram for the classification of benign parotid gland tumors.
    Zheng M; Chen Q; Ge Y; Yang L; Tian Y; Liu C; Wang P; Deng K
    Med Phys; 2023 Feb; 50(2):947-957. PubMed ID: 36273307
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A Deep Learning Model for Classification of Parotid Neoplasms Based on Multimodal Magnetic Resonance Image Sequences.
    Liu X; Pan Y; Zhang X; Sha Y; Wang S; Li H; Liu J
    Laryngoscope; 2023 Feb; 133(2):327-335. PubMed ID: 35575610
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Differentiation of benign and malignant parotid gland tumors based on the fusion of radiomics and deep learning features on ultrasound images.
    Wang Y; Gao J; Yin Z; Wen Y; Sun M; Han R
    Front Oncol; 2024; 14():1384105. PubMed ID: 38803533
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach.
    Suh HB; Choi YS; Bae S; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
    Eur Radiol; 2018 Sep; 28(9):3832-3839. PubMed ID: 29626238
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.
    Liang M; Cai Z; Zhang H; Huang C; Meng Y; Zhao L; Li D; Ma X; Zhao X
    Acad Radiol; 2019 Nov; 26(11):1495-1504. PubMed ID: 30711405
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
    Mao B; Ma J; Duan S; Xia Y; Tao Y; Zhang L
    Eur Radiol; 2021 Jul; 31(7):4576-4586. PubMed ID: 33447862
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Computed tomography-based radiomics machine learning classifiers to differentiate type I and type II epithelial ovarian cancers.
    Li J; Li X; Ma J; Wang F; Cui S; Ye Z
    Eur Radiol; 2023 Jul; 33(7):5193-5204. PubMed ID: 36515713
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparison of Conventional Gadoxetate Disodium-Enhanced MRI Features and Radiomics Signatures With Machine Learning for Diagnosing Microvascular Invasion.
    Chen Y; Xia Y; Tolat PP; Long L; Jiang Z; Huang Z; Tang Q
    AJR Am J Roentgenol; 2021 Jun; 216(6):1510-1520. PubMed ID: 33826360
    [No Abstract]   [Full Text] [Related]  

  • 34. Radiomics-based classification of hepatocellular carcinoma and hepatic haemangioma on precontrast magnetic resonance images.
    Wu J; Liu A; Cui J; Chen A; Song Q; Xie L
    BMC Med Imaging; 2019 Mar; 19(1):23. PubMed ID: 30866850
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Comparison of radiomics machine-learning classifiers and feature selection for differentiation of sacral chordoma and sacral giant cell tumour based on 3D computed tomography features.
    Yin P; Mao N; Zhao C; Wu J; Sun C; Chen L; Hong N
    Eur Radiol; 2019 Apr; 29(4):1841-1847. PubMed ID: 30280245
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prognostic prediction of hypertensive intracerebral hemorrhage using CT radiomics and machine learning.
    Xu X; Zhang J; Yang K; Wang Q; Chen X; Xu B
    Brain Behav; 2021 May; 11(5):e02085. PubMed ID: 33624945
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Preoperative Extrapancreatic Extension Prediction in Patients with Pancreatic Cancer Using Multiparameter MRI and Machine Learning-Based Radiomics Model.
    Xie N; Fan X; Xie H; Lu J; Yu L; Liu H; Wang H; Yin X; Li B
    Acad Radiol; 2023 Jul; 30(7):1306-1316. PubMed ID: 36244870
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion.
    Wan Q; Zhou J; Xia X; Hu J; Wang P; Peng Y; Zhang T; Sun J; Song Y; Yang G; Li X
    Front Oncol; 2021; 11():683587. PubMed ID: 34868905
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Diffusion-weighted imaging and arterial spin labeling radiomics features may improve differentiation between radiation-induced brain injury and glioma recurrence.
    Zhang J; Wu Y; Wang Y; Zhang X; Lei Y; Zhu G; Mao C; Zhang L; Ma L
    Eur Radiol; 2023 May; 33(5):3332-3342. PubMed ID: 36576544
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Radiomics-Based Machine Learning Classification for Glioma Grading Using Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging.
    Hashido T; Saito S; Ishida T
    J Comput Assist Tomogr; 2021 Jul-Aug 01; 45(4):606-613. PubMed ID: 34270479
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.