BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

187 related articles for article (PubMed ID: 38268475)

  • 21. Development and validation of nomograms to intraoperatively predict metastatic patterns in regional lymph nodes in patients diagnosed with esophageal cancer.
    Zhao F; Lu RX; Liu JY; Fan J; Lin HR; Yang XY; You SH; Wu QG; Qin XY; Liu Y; Zhen FX; Luo JH; Wang W
    BMC Cancer; 2021 Jan; 21(1):22. PubMed ID: 33402129
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Clinico-Radiologic Nomogram Using Multiphase CT to Predict Lymph Node Metastasis in Colon Cancer.
    Cheng Y; Yu Q; Meng W; Jiang W
    Mol Imaging Biol; 2022 Oct; 24(5):798-806. PubMed ID: 35419770
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Development and validation of radiomics machine learning model based on contrast-enhanced computed tomography to predict axillary lymph node metastasis in breast cancer.
    Zhang J; Cao G; Pang H; Li J; Yao X
    Biomol Biomed; 2023 Mar; 23(2):317-326. PubMed ID: 36226600
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Prediction of Individual Lymph Node Metastatic Status in Esophageal Squamous Cell Carcinoma Using Routine Computed Tomography Imaging: Comparison of Size-Based Measurements and Radiomics-Based Models.
    Xie C; Hu Y; Han L; Fu J; Vardhanabhuti V; Yang H
    Ann Surg Oncol; 2022 Dec; 29(13):8117-8126. PubMed ID: 36018524
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Non-invasive prediction model of axillary lymph node status in patients with early-stage breast cancer: a feasibility study based on dynamic contrast-enhanced-MRI radiomics.
    Chen W; Lin G; Kong C; Wu X; Hu Y; Chen M; Xia S; Lu C; Xu M; Ji J
    Br J Radiol; 2024 Feb; 97(1154):439-450. PubMed ID: 38308028
    [TBL] [Abstract][Full Text] [Related]  

  • 26. CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer.
    Wang Y; Liu W; Yu Y; Liu JJ; Xue HD; Qi YF; Lei J; Yu JC; Jin ZY
    Eur Radiol; 2020 Feb; 30(2):976-986. PubMed ID: 31468157
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A CT-Based Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Periampullary Carcinomas.
    Bi L; Liu Y; Xu J; Wang X; Zhang T; Li K; Duan M; Huang C; Meng X; Huang Z
    Front Oncol; 2021; 11():632176. PubMed ID: 34395237
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Radiomics from dual-energy CT-derived iodine maps predict lymph node metastasis in head and neck squamous cell carcinoma.
    Zhang W; Liu J; Jin W; Li R; Xie X; Zhao W; Xia S; Han D
    Radiol Med; 2024 Feb; 129(2):252-267. PubMed ID: 38015363
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Preoperative prediction of mediastinal lymph node metastasis in non-small cell lung cancer based on
    Huang Y; Jiang X; Xu H; Zhang D; Liu LN; Xia YX; Xu DK; Wu HJ; Cheng G; Shi YH
    Clin Radiol; 2023 Jan; 78(1):8-17. PubMed ID: 36192203
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A radiomics nomogram for the ultrasound-based evaluation of central cervical lymph node metastasis in papillary thyroid carcinoma.
    Wen Q; Wang Z; Traverso A; Liu Y; Xu R; Feng Y; Qian L
    Front Endocrinol (Lausanne); 2022; 13():1064434. PubMed ID: 36531493
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Radiomics nomogram based on digital breast tomosynthesis: preoperative evaluation of axillary lymph node metastasis in breast carcinoma.
    Xu M; Yang H; Yang Q; Teng P; Hao H; Liu C; Yu S; Liu G
    J Cancer Res Clin Oncol; 2023 Sep; 149(11):9317-9328. PubMed ID: 37208454
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Computed Tomography-Based Radiomics Nomogram for Predicting the Postoperative Prognosis of Esophageal Squamous Cell Carcinoma: A Multicenter Study.
    Peng H; Xue T; Chen Q; Li M; Ge Y; Feng F
    Acad Radiol; 2022 Nov; 29(11):1631-1640. PubMed ID: 35300908
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer.
    Li M; Zhang J; Dan Y; Yao Y; Dai W; Cai G; Yang G; Tong T
    J Transl Med; 2020 Jan; 18(1):46. PubMed ID: 32000813
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Radiomic Nomogram for Predicting Axillary Lymph Node Metastasis in Patients with Breast Cancer.
    Chen Y; Li J; Zhang J; Yu Z; Jiang H
    Acad Radiol; 2024 Mar; 31(3):788-799. PubMed ID: 37932165
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Ultrasound-based radiomics nomogram: A potential biomarker to predict axillary lymph node metastasis in early-stage invasive breast cancer.
    Yu FH; Wang JX; Ye XH; Deng J; Hang J; Yang B
    Eur J Radiol; 2019 Oct; 119():108658. PubMed ID: 31521878
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
    Zheng Z; Chen Z; Xie Y; Zhong Q; Xie W
    Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study.
    Sun R; Zhang M; Yang L; Yang S; Li N; Huang Y; Song H; Wang B; Huang C; Hou F; Wang H
    Insights Imaging; 2024 Jan; 15(1):21. PubMed ID: 38270647
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
    Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
    Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Radiomics nomogram for predicting axillary lymph node metastasis-a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study.
    Zhu Y; Ma Y; Zhang Y; Liu A; Wang Y; Zhao M; Li H; He N; Wu Y; Ye Z
    Radiol Med; 2023 Dec; 128(12):1472-1482. PubMed ID: 37857980
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Contrast-enhanced CT radiomics features to preoperatively identify differences between tumor and proximal tumor-adjacent and tumor-distant tissues of resectable esophageal squamous cell carcinoma.
    Gao D; Tan BG; Chen XQ; Zhou C; Ou J; Guo WW; Zhou HY; Li R; Zhang XM; Chen TW
    Cancer Imaging; 2024 Jan; 24(1):11. PubMed ID: 38243339
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.