BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

145 related articles for article (PubMed ID: 36267965)

  • 1. Spectral CT for preoperative prediction of lymphovascular invasion in resectable gastric cancer: With external prospective validation.
    Li J; Wang Y; Wang R; Gao JB; Qu JR
    Front Oncol; 2022; 12():942425. PubMed ID: 36267965
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Spectral CT-based nomogram for preoperative prediction of perineural invasion in locally advanced gastric cancer: a prospective study.
    Li J; Xu S; Wang Y; Fang M; Ma F; Xu C; Li H
    Eur Radiol; 2023 Jul; 33(7):5172-5183. PubMed ID: 36826503
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancer.
    Li J; Fang M; Wang R; Dong D; Tian J; Liang P; Liu J; Gao J
    Eur Radiol; 2018 Dec; 28(12):5241-5249. PubMed ID: 29869176
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning.
    Ge HT; Chen JW; Wang LL; Zou TX; Zheng B; Liu YF; Xue YJ; Lin WW
    World J Gastroenterol; 2024 Feb; 30(6):542-555. PubMed ID: 38463023
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A nomogram model of spectral CT quantitative parameters and clinical characteristics predicting lymphovascular invasion of gastric cancer.
    Tong YX; Ye X; Chen YQ; You YR; Zhang HJ; Chen SX; Wang LL; Xue YJ; Chen LH
    Heliyon; 2024 Apr; 10(7):e29214. PubMed ID: 38601586
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting pathologic response to neoadjuvant chemotherapy in locally advanced gastric cancer: The establishment of a spectral CT-based nomogram from prospective datasets.
    Li J; Chen X; Xu S; Wang Y; Ma F; Wu Y; Qu J
    Eur J Surg Oncol; 2024 Apr; 50(4):108020. PubMed ID: 38367396
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Spectral CT multi-parameter imaging in preoperatively evaluation the status of lymphovascular and perineural invasion of gastric cancer].
    Ren TZ; Deng LN; Li SL; Sun JC; Liu SW; Zhou JL
    Zhonghua Yi Xue Za Zhi; 2022 Jun; 102(23):1741-1746. PubMed ID: 35705477
    [No Abstract]   [Full Text] [Related]  

  • 8. Combination of clinical and spectral-CT parameters for predicting lymphovascular and perineural invasion in gastric cancer.
    Ren T; Zhang W; Li S; Deng L; Xue C; Li Z; Liu S; Sun J; Zhou J
    Diagn Interv Imaging; 2022 Dec; 103(12):584-593. PubMed ID: 35934616
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [The value of spectral CT-based radiomics in preoperative prediction of lymph node metastasis of advanced gastric cancer].
    Wang R; Li J; Fang MJ; Dong D; Liang P; Gao JB
    Zhonghua Yi Xue Za Zhi; 2020 Jun; 100(21):1617-1622. PubMed ID: 32486595
    [No Abstract]   [Full Text] [Related]  

  • 10. Development of a Nomogram Combining Clinical Risk Factors and Dual-Energy Spectral CT Parameters for the Preoperative Prediction of Lymph Node Metastasis in Patients With Colorectal Cancer.
    Cao Y; Zhang J; Bao H; Zhang G; Yan X; Wang Z; Ren J; Chai Y; Zhao Z; Zhou J
    Front Oncol; 2021; 11():689176. PubMed ID: 34631524
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
    Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
    Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variables.
    Fan L; Li J; Zhang H; Yin H; Zhang R; Zhang J; Chen X
    Abdom Radiol (NY); 2022 Apr; 47(4):1209-1222. PubMed ID: 35089370
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Can lymphovascular invasion be predicted by contrast-enhanced CT imaging features in patients with esophageal squamous cell carcinoma? A preliminary retrospective study.
    Li Y; Su H; Yang L; Yue M; Wang M; Gu X; Dai L; Wang X; Su X; Zhang A; Ren J; Shi G
    BMC Med Imaging; 2022 May; 22(1):93. PubMed ID: 35581563
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma.
    Li Y; Yu M; Wang G; Yang L; Ma C; Wang M; Yue M; Cong M; Ren J; Shi G
    Front Oncol; 2021; 11():644165. PubMed ID: 34055613
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Can lymphovascular invasion be predicted by preoperative multiphasic dynamic CT in patients with advanced gastric cancer?
    Ma Z; Liang C; Huang Y; He L; Liang C; Chen X; Huang X; Xiong Y; Liu Z
    Eur Radiol; 2017 Aug; 27(8):3383-3391. PubMed ID: 27999983
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Establishment and validation of a predictive nomogram model for advanced gastric cancer with perineural invasion].
    Liu SH; Hou XY; Zhang XX; Liu GW; Xin FJ; Wang JG; Zhang DL; Wang DS; Lu Y
    Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Nov; 23(11):1059-1066. PubMed ID: 33212554
    [No Abstract]   [Full Text] [Related]  

  • 18. Preoperative Risk Stratification for Gastric Cancer: The Establishment of Dual-Energy CT-Based Radiomics Using Prospective Datasets at Two Centers.
    Li J; Yin H; Zhang H; Wang Y; Ma F; Li L; Gao J; Qu J
    Acad Radiol; 2024 May; ():. PubMed ID: 38734580
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Elaboration and Validation of a Nomogram Based on Axillary Ultrasound and Tumor Clinicopathological Features to Predict Axillary Lymph Node Metastasis in Patients With Breast Cancer.
    Liu Y; Ye F; Wang Y; Zheng X; Huang Y; Zhou J
    Front Oncol; 2022; 12():845334. PubMed ID: 35651796
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.