BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 37907684)

  • 1. Radiomics analysis based on single phase and different phase combinations of radiomics features from tri-phasic CT to distinguish renal oncocytoma from chromophobe renal cell carcinoma.
    Yang S; Jian Y; Yang F; Liu R; Zhang W; Wang J; Tan X; Wu J; Chen Y; Zhou X
    Abdom Radiol (NY); 2024 Jan; 49(1):182-191. PubMed ID: 37907684
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A CT-based radiomics nomogram for differentiation of renal oncocytoma and chromophobe renal cell carcinoma with a central scar-matched study.
    Li X; Ma Q; Nie P; Zheng Y; Dong C; Xu W
    Br J Radiol; 2022 Jan; 95(1129):20210534. PubMed ID: 34735296
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Value of radiomics in differential diagnosis of chromophobe renal cell carcinoma and renal oncocytoma.
    Li Y; Huang X; Xia Y; Long L
    Abdom Radiol (NY); 2020 Oct; 45(10):3193-3201. PubMed ID: 31664486
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A triple-classification for differentiating renal oncocytoma from renal cell carcinoma subtypes and CK7 expression evaluation: a radiomics analysis.
    Yu Z; Ding J; Pang H; Fang H; He F; Xu C; Li X; Ren K
    BMC Urol; 2022 Sep; 22(1):147. PubMed ID: 36096829
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A CT-Based Radiomics Approach for the Differential Diagnosis of Sarcomatoid and Clear Cell Renal Cell Carcinoma.
    Meng X; Shu J; Xia Y; Yang R
    Biomed Res Int; 2020; 2020():7103647. PubMed ID: 32775436
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Use of specific contrast-enhanced CT regions of interest to differentiate renal oncocytomas from small clear cell and chromophobe renal cell carcinomas.
    Qu JY; Jiang H; Wang XF; Song XH; Hao CJ
    Diagn Interv Radiol; 2022 Nov; 28(6):555-562. PubMed ID: 36550755
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clear cell renal cell carcinoma: CT-based radiomics features for the prediction of Fuhrman grade.
    Shu J; Tang Y; Cui J; Yang R; Meng X; Cai Z; Zhang J; Xu W; Wen D; Yin H
    Eur J Radiol; 2018 Dec; 109():8-12. PubMed ID: 30527316
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Can whole-tumor radiomics-based CT analysis better differentiate fat-poor angiomyolipoma from clear cell renal cell caricinoma: compared with conventional CT analysis?
    Ma Y; Cao F; Xu X; Ma W
    Abdom Radiol (NY); 2020 Aug; 45(8):2500-2507. PubMed ID: 31980867
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A CT-based radiomics model for predicting renal capsule invasion in renal cell carcinoma.
    Yang L; Gao L; Arefan D; Tan Y; Dan H; Zhang J
    BMC Med Imaging; 2022 Jan; 22(1):15. PubMed ID: 35094674
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fuhrman nuclear grade prediction of clear cell renal cell carcinoma: influence of volume of interest delineation strategies on machine learning-based dynamic enhanced CT radiomics analysis.
    Luo S; Wei R; Lu S; Lai S; Wu J; Wu Z; Pang X; Wei X; Jiang X; Zhen X; Yang R
    Eur Radiol; 2022 Apr; 32(4):2340-2350. PubMed ID: 34636962
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.
    Shu J; Wen D; Xi Y; Xia Y; Cai Z; Xu W; Meng X; Liu B; Yin H
    Eur J Radiol; 2019 Dec; 121():108738. PubMed ID: 31756634
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A CT-based radiomics nomogram for differentiation of small masses (< 4 cm) of renal oncocytoma from clear cell renal cell carcinoma.
    Li X; Ma Q; Tao C; Liu J; Nie P; Dong C
    Abdom Radiol (NY); 2021 Nov; 46(11):5240-5249. PubMed ID: 34268628
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Differentiation of Clear Cell and Non-clear-cell Renal Cell Carcinoma through CT-based Radiomics Models and Nomogram.
    Cheng D; Abudikeranmu Y; Tuerdi B
    Curr Med Imaging; 2023; 19(9):1005-1017. PubMed ID: 36411581
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predictive Value of CT-Based Radiomics in Distinguishing Renal Angiomyolipomas with Minimal Fat from Other Renal Tumors.
    Han Z; Zhu Y; Xu J; Wen D; Xia Y; Zheng M; Yan T; Wei M
    Dis Markers; 2022; 2022():9108129. PubMed ID: 35669501
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
    Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS
    Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Differentiation of renal cell carcinoma subtypes through MRI-based radiomics analysis.
    Wang W; Cao K; Jin S; Zhu X; Ding J; Peng W
    Eur Radiol; 2020 Oct; 30(10):5738-5747. PubMed ID: 32367419
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Differential diagnosis of renal oncocytoma and chromophobe renal cell carcinoma using CT features: a central scar-matched retrospective study.
    Li X; Nie P; Zhang J; Hou F; Ma Q; Cui J
    Acta Radiol; 2022 Feb; 63(2):253-260. PubMed ID: 33497276
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CT-based multi-phase Radiomic models for differentiating clear cell renal cell carcinoma.
    Chen M; Yin F; Yu Y; Zhang H; Wen G
    Cancer Imaging; 2021 Jun; 21(1):42. PubMed ID: 34162442
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.
    Nie P; Yang G; Wang Z; Yan L; Miao W; Hao D; Wu J; Zhao Y; Gong A; Cui J; Jia Y; Niu H
    Eur Radiol; 2020 Feb; 30(2):1274-1284. PubMed ID: 31506816
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quantitative computer-aided diagnostic algorithm for automated detection of peak lesion attenuation in differentiating clear cell from papillary and chromophobe renal cell carcinoma, oncocytoma, and fat-poor angiomyolipoma on multiphasic multidetector computed tomography.
    Coy H; Young JR; Douek ML; Brown MS; Sayre J; Raman SS
    Abdom Radiol (NY); 2017 Jul; 42(7):1919-1928. PubMed ID: 28280876
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.