BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 34844171)

  • 21. Computed tomography-based radiomics for identifying pulmonary cryptococcosis mimicking lung cancer.
    Zhang Y; Chu Z; Yu J; Chen X; Liu J; Xu J; Huang C; Peng L
    Med Phys; 2022 Sep; 49(9):5943-5952. PubMed ID: 35678964
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. A Novel Multimodal Radiomics Model for Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer.
    Zhang Y; He K; Guo Y; Liu X; Yang Q; Zhang C; Xie Y; Mu S; Guo Y; Fu Y; Zhang H
    Front Oncol; 2020; 10():457. PubMed ID: 32328460
    [No Abstract]   [Full Text] [Related]  

  • 24. Prediction of lymphovascular space invasion using a combination of tenascin-C, cox-2, and PET/CT radiomics in patients with early-stage cervical squamous cell carcinoma.
    Li X; Xu C; Yu Y; Guo Y; Sun H
    BMC Cancer; 2021 Jul; 21(1):866. PubMed ID: 34320931
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Radiomics in Gastric Cancer: First Clinical Investigation to Predict Lymph Vascular Invasion and Survival Outcome Using
    Yang L; Chu W; Li M; Xu P; Wang M; Peng M; Wang K; Zhang L
    Front Oncol; 2022; 12():836098. PubMed ID: 35433451
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.
    Yang X; Fan X; Lin S; Zhou Y; Liu H; Wang X; Zuo Z; Zeng Y
    J Magn Reson Imaging; 2024 Jun; 59(6):2238-2249. PubMed ID: 37855421
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Preoperative prediction of lymphovascular invasion of colorectal cancer by radiomics based on 18F-FDG PET-CT and clinical factors.
    Yang Y; Wei H; Fu F; Wei W; Wu Y; Bai Y; Li Q; Wang M
    Front Radiol; 2023; 3():1212382. PubMed ID: 37614530
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
    Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
    World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
    Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
    Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Radiomic signature of the FOWARC trial predicts pathological response to neoadjuvant treatment in rectal cancer.
    Zhuang Z; Liu Z; Li J; Wang X; Xie P; Xiong F; Hu J; Meng X; Huang M; Deng Y; Lan P; Yu H; Luo Y
    J Transl Med; 2021 Jun; 19(1):256. PubMed ID: 34112180
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Radiomics Analysis on Digital Breast Tomosynthesis: Preoperative Evaluation of Lymphovascular Invasion Status in Invasive Breast Cancer.
    Wang D; Liu M; Zhuang Z; Wu S; Zhou P; Chen X; Zhu H; Liu H; Zhang L
    Acad Radiol; 2022 Dec; 29(12):1773-1782. PubMed ID: 35400556
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Preoperative prediction of perineural invasion and lymphovascular invasion with CT radiomics in gastric cancer.
    He Y; Yang M; Hou R; Ai S; Nie T; Chen J; Hu H; Guo X; Liu Y; Yuan Z
    Eur J Radiol Open; 2024 Jun; 12():100550. PubMed ID: 38314183
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A radiomic-based model of different contrast-enhanced CT phase for differentiate intrahepatic cholangiocarcinoma from inflammatory mass with hepatolithiasis.
    Xue B; Wu S; Zhang M; Hong J; Liu B; Xu N; Zeng Q; Tang K; Zheng X
    Abdom Radiol (NY); 2021 Aug; 46(8):3835-3844. PubMed ID: 33728532
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Pretreatment MR-based radiomics nomogram as potential imaging biomarker for individualized assessment of perineural invasion status in rectal cancer.
    Chen J; Chen Y; Zheng D; Pang P; Zhang H; Zheng X; Liao J
    Abdom Radiol (NY); 2021 Mar; 46(3):847-857. PubMed ID: 32870349
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Assessment of Intratumoral and Peritumoral Computed Tomography Radiomics for Predicting Pathological Complete Response to Neoadjuvant Chemoradiation in Patients With Esophageal Squamous Cell Carcinoma.
    Hu Y; Xie C; Yang H; Ho JWK; Wen J; Han L; Chiu KWH; Fu J; Vardhanabhuti V
    JAMA Netw Open; 2020 Sep; 3(9):e2015927. PubMed ID: 32910196
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
    Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
    Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Multiparametric MRI-based radiomics signature for preoperative estimation of tumor-stroma ratio in rectal cancer.
    Cai C; Hu T; Gong J; Huang D; Liu F; Fu C; Tong T
    Eur Radiol; 2021 May; 31(5):3326-3335. PubMed ID: 33180166
    [TBL] [Abstract][Full Text] [Related]  

  • 38. MRI radiomics analysis for predicting preoperative synchronous distant metastasis in patients with rectal cancer.
    Liu H; Zhang C; Wang L; Luo R; Li J; Zheng H; Yin Q; Zhang Z; Duan S; Li X; Wang D
    Eur Radiol; 2019 Aug; 29(8):4418-4426. PubMed ID: 30413955
    [TBL] [Abstract][Full Text] [Related]  

  • 39.
    Wang J; Zheng Z; Zhang Y; Tan W; Li J; Xing L; Sun X
    Front Oncol; 2023; 13():1185808. PubMed ID: 37546415
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Radiomics Analysis to Predict Lymphovascular Invasion of Gastric Cancer Based on Iodine-Based Material Decomposition Images and Virtual Monoenergetic Images.
    Shi C; Yan J; Yu Y; Hu C
    J Comput Assist Tomogr; 2024 Mar-Apr 01; 48(2):175-183. PubMed ID: 38110306
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.