BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 38054695)

  • 21. Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach.
    Do DT; Yang MR; Lam LHT; Le NQK; Wu YW
    Sci Rep; 2022 Aug; 12(1):13412. PubMed ID: 35927323
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy.
    Sutton EJ; Onishi N; Fehr DA; Dashevsky BZ; Sadinski M; Pinker K; Martinez DF; Brogi E; Braunstein L; Razavi P; El-Tamer M; Sacchini V; Deasy JO; Morris EA; Veeraraghavan H
    Breast Cancer Res; 2020 May; 22(1):57. PubMed ID: 32466777
    [TBL] [Abstract][Full Text] [Related]  

  • 23. IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation.
    Choi Y; Nam Y; Lee YS; Kim J; Ahn KJ; Jang J; Shin NY; Kim BS; Jeon SS
    Eur J Radiol; 2020 Jul; 128():109031. PubMed ID: 32417712
    [TBL] [Abstract][Full Text] [Related]  

  • 24. MRI Features May Predict Molecular Features of Glioblastoma in
    Park CJ; Han K; Kim H; Ahn SS; Choi D; Park YW; Chang JH; Kim SH; Cha S; Lee SK
    AJNR Am J Neuroradiol; 2021 Mar; 42(3):448-456. PubMed ID: 33509914
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Noninvasive O
    Hajianfar G; Shiri I; Maleki H; Oveisi N; Haghparast A; Abdollahi H; Oveisi M
    World Neurosurg; 2019 Dec; 132():e140-e161. PubMed ID: 31505292
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Diffusion radiomics as a diagnostic model for atypical manifestation of primary central nervous system lymphoma: development and multicenter external validation.
    Kang D; Park JE; Kim YH; Kim JH; Oh JY; Kim J; Kim Y; Kim ST; Kim HS
    Neuro Oncol; 2018 Aug; 20(9):1251-1261. PubMed ID: 29438500
    [TBL] [Abstract][Full Text] [Related]  

  • 27. An integrative non-invasive malignant brain tumors classification and Ki-67 labeling index prediction pipeline with radiomics approach.
    Zhang L; Liu X; Xu X; Liu W; Jia Y; Chen W; Fu X; Li Q; Sun X; Zhang Y; Shu S; Zhang X; Xiang R; Chen H; Sun P; Geng D; Yu Z; Liu J; Wang J
    Eur J Radiol; 2023 Jan; 158():110639. PubMed ID: 36463703
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma.
    Qian Z; Zhang L; Hu J; Chen S; Chen H; Shen H; Zheng F; Zang Y; Chen X
    Front Oncol; 2021; 11():699789. PubMed ID: 34490097
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
    Kim M; Jung SY; Park JE; Jo Y; Park SY; Nam SJ; Kim JH; Kim HS
    Eur Radiol; 2020 Apr; 30(4):2142-2151. PubMed ID: 31828414
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma.
    Xu A; Chu X; Zhang S; Zheng J; Shi D; Lv S; Li F; Weng X
    BMC Cancer; 2022 Aug; 22(1):872. PubMed ID: 35945526
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Oligodendrocyte Transcription Factor 2 as a Potential Prognostic Biomarker of Glioblastoma: Kaplan-Meier Analysis and the Development of a Binary Predictive Model Based on Visually Accessible Rembrandt Image and Magnetic Resonance Imaging Radiomic Features.
    Mei N; Lu Y; Yang S; Jiang S; Ruan Z; Wang D; Liu X; Ying Y; Li X; Yin B
    J Comput Assist Tomogr; 2023 Jul-Aug 01; 47(4):650-658. PubMed ID: 37380154
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: A multicentre study.
    Li ZC; Bai H; Sun Q; Li Q; Liu L; Zou Y; Chen Y; Liang C; Zheng H
    Eur Radiol; 2018 Sep; 28(9):3640-3650. PubMed ID: 29564594
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Brain regions associated with telomerase reverse transcriptase promoter mutations in primary glioblastomas.
    Fan X; Wang Y; Liu Y; Liu X; Zhang C; Wang L; Li S; Ma J; Jiang T
    J Neurooncol; 2016 Jul; 128(3):455-62. PubMed ID: 27230769
    [TBL] [Abstract][Full Text] [Related]  

  • 34. New prognostic factor telomerase reverse transcriptase promotor mutation presents without MR imaging biomarkers in primary glioblastoma.
    Ersoy TF; Keil VC; Hadizadeh DR; Gielen GH; Fimmers R; Waha A; Heidenreich B; Kumar R; Schild HH; Simon M
    Neuroradiology; 2017 Dec; 59(12):1223-1231. PubMed ID: 28894890
    [TBL] [Abstract][Full Text] [Related]  

  • 35. An Integrated Radiomics Model Incorporating Diffusion-Weighted Imaging and
    Zhang L; Yao R; Gao J; Tan D; Yang X; Wen M; Wang J; Xie X; Liao R; Tang Y; Chen S; Li Y
    Front Oncol; 2021; 11():732704. PubMed ID: 34527594
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Establishment of a Prediction Model Based on Preoperative MRI Radiomics for Diffuse Astrocytic Glioma, IDH-Wildtype, with Molecular Features of Glioblastoma.
    Du P; Wu X; Liu X; Chen J; Cao A; Geng D
    Cancers (Basel); 2023 Oct; 15(20):. PubMed ID: 37894461
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Multiparametric MR Imaging Radiomics Signatures for Assessing the Recurrence Risk of ER+/HER2- Breast Cancer Quantified With 21-Gene Recurrence Score.
    Chen Y; Tang W; Liu W; Li R; Wang Q; Shen X; Gong J; Gu Y; Peng W
    J Magn Reson Imaging; 2023 Aug; 58(2):444-453. PubMed ID: 36440706
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Machine learning to differentiate small round cell malignant tumors and non-small round cell malignant tumors of the nasal and paranasal sinuses using apparent diffusion coefficient values.
    Chen C; Qin Y; Chen H; Cheng J; He B; Wan Y; Zhu D; Gao F; Zhou X
    Eur Radiol; 2022 Jun; 32(6):3819-3829. PubMed ID: 35029732
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Peritumoral and Intratumoral Texture Features Based on Multiparametric MRI and Multiple Machine Learning Methods to Preoperatively Evaluate the Pathological Outcomes of Pancreatic Cancer.
    Xie N; Fan X; Chen D; Chen J; Yu H; He M; Liu H; Yin X; Li B; Wang H
    J Magn Reson Imaging; 2023 Aug; 58(2):379-391. PubMed ID: 36426965
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI.
    Zhang X; Tian Q; Wang L; Liu Y; Li B; Liang Z; Gao P; Zheng K; Zhao B; Lu H
    J Magn Reson Imaging; 2018 Oct; 48(4):916-926. PubMed ID: 29394005
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.