BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

180 related articles for article (PubMed ID: 35570797)

  • 1. Development of a deep learning-based auto-segmentation algorithm for hepatocellular carcinoma (HCC) and application to predict microvascular invasion of HCC using CT texture analysis: preliminary results.
    Park S; Kim JH; Kim J; Joseph W; Lee D; Park SJ
    Acta Radiol; 2023 Mar; 64(3):907-917. PubMed ID: 35570797
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters.
    Song D; Wang Y; Wang W; Wang Y; Cai J; Zhu K; Lv M; Gao Q; Zhou J; Fan J; Rao S; Wang M; Wang X
    J Cancer Res Clin Oncol; 2021 Dec; 147(12):3757-3767. PubMed ID: 33839938
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma.
    Xu X; Zhang HL; Liu QP; Sun SW; Zhang J; Zhu FP; Yang G; Yan X; Zhang YD; Liu XS
    J Hepatol; 2019 Jun; 70(6):1133-1144. PubMed ID: 30876945
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma.
    Yang Y; Zhou Y; Zhou C; Ma X
    Eur J Surg Oncol; 2022 May; 48(5):1068-1077. PubMed ID: 34862094
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep-learning-based analysis of preoperative MRI predicts microvascular invasion and outcome in hepatocellular carcinoma.
    Sun BY; Gu PY; Guan RY; Zhou C; Lu JW; Yang ZF; Pan C; Zhou PY; Zhu YP; Li JR; Wang ZT; Gao SS; Gan W; Yi Y; Luo Y; Qiu SJ
    World J Surg Oncol; 2022 Jun; 20(1):189. PubMed ID: 35676669
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of microvascular invasion and pathological differentiation of hepatocellular carcinoma based on a deep learning model.
    He X; Xu Y; Zhou C; Song R; Liu Y; Zhang H; Wang Y; Fan Q; Wang D; Chen W; Wang J; Guo D
    Eur J Radiol; 2024 Mar; 172():111348. PubMed ID: 38325190
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT.
    Ma X; Wei J; Gu D; Zhu Y; Feng B; Liang M; Wang S; Zhao X; Tian J
    Eur Radiol; 2019 Jul; 29(7):3595-3605. PubMed ID: 30770969
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning.
    Jiang YQ; Cao SE; Cao S; Chen JN; Wang GY; Shi WQ; Deng YN; Cheng N; Ma K; Zeng KN; Yan XJ; Yang HZ; Huan WJ; Tang WM; Zheng Y; Shao CK; Wang J; Yang Y; Chen GH
    J Cancer Res Clin Oncol; 2021 Mar; 147(3):821-833. PubMed ID: 32852634
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of Microvascular Invasion in Solitary AFP-Negative Hepatocellular Carcinoma ≤ 5 cm Using a Combination of Imaging Features and Quantitative Dual-Layer Spectral-Detector CT Parameters.
    Zhu Y; Feng B; Cai W; Wang B; Meng X; Wang S; Ma X; Zhao X
    Acad Radiol; 2023 Sep; 30 Suppl 1():S104-S116. PubMed ID: 36958989
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Contrast-Enhanced Ultrasound with Deep Learning with Attention Mechanisms for Predicting Microvascular Invasion in Single Hepatocellular Carcinoma.
    Qin X; Zhu J; Tu Z; Ma Q; Tang J; Zhang C
    Acad Radiol; 2023 Sep; 30 Suppl 1():S73-S80. PubMed ID: 36567144
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of microvascular invasion in hepatocellular carcinoma based on preoperative Gd-EOB-DTPA-enhanced MRI: Comparison of predictive performance among 2D, 2D-expansion and 3D deep learning models.
    Wang T; Li Z; Yu H; Duan C; Feng W; Chang L; Yu J; Liu F; Gao J; Zang Y; Luo Z; Liu H; Zhang Y; Zhou X
    Front Oncol; 2023; 13():987781. PubMed ID: 36816963
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Influence of different region of interest sizes on CT-based radiomics model for microvascular invasion prediction in hepatocellular carcinoma.
    Zhao H; Feng Z; Li H; Yao S; Zheng W; Rong P
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1049-1057. PubMed ID: 36097772
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals.
    Liu SC; Lai J; Huang JY; Cho CF; Lee PH; Lu MH; Yeh CC; Yu J; Lin WC
    Cancer Imaging; 2021 Oct; 21(1):56. PubMed ID: 34627393
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting microvascular invasion in hepatocellular carcinoma with a CT- and MRI-based multimodal deep learning model.
    Lei Y; Feng B; Wan M; Xu K; Cui J; Ma C; Sun J; Yao C; Gan S; Shi J; Cui E
    Abdom Radiol (NY); 2024 May; 49(5):1397-1410. PubMed ID: 38433144
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
    Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
    Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
    [No Abstract]   [Full Text] [Related]  

  • 16. CT radiomics for prediction of microvascular invasion in hepatocellular carcinoma: A systematic review and meta-analysis.
    Zhou HY; Cheng JM; Chen TW; Zhang XM; Ou J; Cao JM; Li HJ
    Clinics (Sao Paulo); 2023; 78():100264. PubMed ID: 37562218
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma.
    Wang F; Chen Q; Chen Y; Zhu Y; Zhang Y; Cao D; Zhou W; Liang X; Yang Y; Lin L; Hu H
    Eur J Surg Oncol; 2023 Jan; 49(1):156-164. PubMed ID: 36333180
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CT Image-Based Texture Analysis to Predict Microvascular Invasion in Primary Hepatocellular Carcinoma.
    Li Y; Xu X; Weng S; Yan C; Chen J; Ye R
    J Digit Imaging; 2020 Dec; 33(6):1365-1375. PubMed ID: 32968880
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multitask deep learning for prediction of microvascular invasion and recurrence-free survival in hepatocellular carcinoma based on MRI images.
    Wang F; Zhan G; Chen QQ; Xu HY; Cao D; Zhang YY; Li YH; Zhang CJ; Jin Y; Ji WB; Ma JB; Yang YJ; Zhou W; Peng ZY; Liang X; Deng LP; Lin LF; Chen YW; Hu HJ
    Liver Int; 2024 Jun; 44(6):1351-1362. PubMed ID: 38436551
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of preoperative microvascular invasion by dynamic radiomic analysis based on contrast-enhanced computed tomography.
    Zhou Z; Xia T; Zhang T; Du M; Zhong J; Huang Y; Xuan K; Xu G; Wan Z; Ju S; Xu J
    Abdom Radiol (NY); 2024 Feb; 49(2):611-624. PubMed ID: 38051358
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.