BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

201 related articles for article (PubMed ID: 33333688)

  • 21. A radiomics approach for automated diagnosis of ovarian neoplasm malignancy in computed tomography.
    Li S; Liu J; Xiong Y; Pang P; Lei P; Zou H; Zhang M; Fan B; Luo P
    Sci Rep; 2021 Apr; 11(1):8730. PubMed ID: 33888749
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Combined model based on enhanced CT texture features in liver metastasis prediction of high-risk gastrointestinal stromal tumors.
    Zheng J; Xia Y; Xu A; Weng X; Wang X; Jiang H; Li Q; Li F
    Abdom Radiol (NY); 2022 Jan; 47(1):85-93. PubMed ID: 34705087
    [TBL] [Abstract][Full Text] [Related]  

  • 23. [Performance of the Combined Model Based on Both Clinicopathological and CT Texture Features in Predicting Liver Metastasis of High-risk Gastrointestinal Stromal Tumors].
    Zheng J; Wang X; Xia Y; Jiang HT
    Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2022 Feb; 44(1):53-59. PubMed ID: 35300765
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Radiomics model predicts granulation pattern in growth hormone-secreting pituitary adenomas.
    Park YW; Kang Y; Ahn SS; Ku CR; Kim EH; Kim SH; Lee EJ; Kim SH; Lee SK
    Pituitary; 2020 Dec; 23(6):691-700. PubMed ID: 32851505
    [TBL] [Abstract][Full Text] [Related]  

  • 25. [Radiomics-based prediction of microsatellite instability in stage Ⅱ and Ⅲ rectal cancer patients based on T2WI MRI and diffusion-weighted imaging].
    Xiang S; Zheng LB; Zhu L; Gao Y; Wang DS; Liu SL; Zhang S; Wang TY; Lu Y
    Zhonghua Wai Ke Za Zhi; 2023 Sep; 61(9):782-787. PubMed ID: 37491171
    [No Abstract]   [Full Text] [Related]  

  • 26. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.
    Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W
    J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Discrimination between pituitary adenoma and craniopharyngioma using MRI-based image features and texture features.
    Zhang Y; Chen C; Tian Z; Xu J
    Jpn J Radiol; 2020 Dec; 38(12):1125-1134. PubMed ID: 32710133
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature.
    Wu M; Tan H; Gao F; Hai J; Ning P; Chen J; Zhu S; Wang M; Dou S; Shi D
    Eur Radiol; 2019 Jun; 29(6):2802-2811. PubMed ID: 30406313
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Clinical-MRI radiomics enables the prediction of preoperative cerebral spinal fluid dissemination in children with medulloblastoma.
    Zheng H; Li J; Liu H; Wu C; Gui T; Liu M; Zhang Y; Duan S; Li Y; Wang D
    World J Surg Oncol; 2021 Apr; 19(1):134. PubMed ID: 33888125
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI.
    Zeynalova A; Kocak B; Durmaz ES; Comunoglu N; Ozcan K; Ozcan G; Turk O; Tanriover N; Kocer N; Kizilkilic O; Islak C
    Neuroradiology; 2019 Jul; 61(7):767-774. PubMed ID: 31011772
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
    Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
    J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
    [TBL] [Abstract][Full Text] [Related]  

  • 32. [Application Values of Gadolinium-ethoxybenzyl Diethylenetriaminepentaacetic Acid Enhanced Magnetic Resonance Imaging-based Radiomics in the Quantitative Assessment of Liver Reserve Function of Patients with Liver Cirrhosis].
    Zhou W; Hu HJ; Shen B; Shen WQ; Chen H; Wu X; Yan Q; Pang PP
    Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2020 Aug; 42(4):459-467. PubMed ID: 32895097
    [No Abstract]   [Full Text] [Related]  

  • 33. MRI texture analysis in acromegaly and its role in predicting response to somatostatin receptor ligands.
    Galm BP; Buckless C; Swearingen B; Torriani M; Klibanski A; Bredella MA; Tritos NA
    Pituitary; 2020 Jun; 23(3):212-222. PubMed ID: 31897778
    [TBL] [Abstract][Full Text] [Related]  

  • 34. MRI-Based Radiomics Signature for the Preoperative Prediction of Extracapsular Extension of Prostate Cancer.
    Ma S; Xie H; Wang H; Han C; Yang J; Lin Z; Li Y; He Q; Wang R; Cui Y; Zhang X; Wang X
    J Magn Reson Imaging; 2019 Dec; 50(6):1914-1925. PubMed ID: 31062459
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Preoperative vascular heterogeneity and aggressiveness assessment of pituitary macroadenoma based on dynamic contrast-enhanced MRI texture analysis.
    Liu YQ; Gao BB; Dong B; Padikkalakandy Cheriyath SS; Song QW; Xu B; Wei Q; Xie LZ; Guo Y; Miao YW
    Eur J Radiol; 2020 Aug; 129():109125. PubMed ID: 32593076
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI.
    Sohn B; Choi YS; Ahn SS; Kim H; Han K; Lee SK; Kim J
    Laryngoscope; 2021 Mar; 131(3):E851-E856. PubMed ID: 33070337
    [TBL] [Abstract][Full Text] [Related]  

  • 37. [Value of magnetic resonance imaging texture analysis in evaluating renal allograft injury].
    Pan L; Xing ZY; Xing W; Chen J; Ding JL; Zha TT; Zhang YW
    Zhonghua Yi Xue Za Zhi; 2020 Jun; 100(23):1768-1772. PubMed ID: 32536120
    [No Abstract]   [Full Text] [Related]  

  • 38. MRI Radiomics Features of Adenohypophysis Determine the Activation of Hypothalamic-Pituitary-Gonadal Axis in Peri-Puberty Children.
    Liu D; Lv W; Liu WV; Tian T; Qin Y; Li Y; Liu Q; Cai J; Gao S; Ding G; Zhao Y; Zhou Y; Xie Y; Zhu W
    J Magn Reson Imaging; 2024 May; 59(5):1769-1776. PubMed ID: 37501392
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. Textural features of the frontal white matter could be used to discriminate amnestic mild cognitive impairment patients from the normal population.
    Zheng W; Mu R; Liu F; Qin X; Li X; Yang P; Li X; Liang Y; Zhu X
    Brain Behav; 2023 Nov; 13(11):e3222. PubMed ID: 37587901
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.