These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

303 related articles for article (PubMed ID: 37936604)

  • 1. Diagnostic performance of CT scan-based radiomics for prediction of lymph node metastasis in gastric cancer: a systematic review and meta-analysis.
    HajiEsmailPoor Z; Tabnak P; Baradaran B; Pashazadeh F; Aghebati-Maleki L
    Front Oncol; 2023; 13():1185663. PubMed ID: 37936604
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CT-based radiomics for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysis.
    Liu L; Liao H; Zhao Y; Yin J; Wang C; Duan L; Xie P; Wei W; Xu M; Su D
    Front Oncol; 2024; 14():1267596. PubMed ID: 38577325
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics diagnostic performance for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysis.
    Ma D; Zhou T; Chen J; Chen J
    BMC Med Imaging; 2024 Jun; 24(1):144. PubMed ID: 38867143
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomics diagnostic performance in predicting lymph node metastasis of papillary thyroid carcinoma: A systematic review and meta-analysis.
    HajiEsmailPoor Z; Kargar Z; Tabnak P
    Eur J Radiol; 2023 Nov; 168():111129. PubMed ID: 37820522
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnostic performance of radiomics in adrenal masses: A systematic review and meta-analysis.
    Zhang H; Lei H; Pang J
    Front Oncol; 2022; 12():975183. PubMed ID: 36119492
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnostic accuracy of CT and PET/CT radiomics in predicting lymph node metastasis in non-small cell lung cancer.
    Li Y; Deng J; Ma X; Li W; Wang Z
    Eur Radiol; 2024 Sep; ():. PubMed ID: 39223336
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence with magnetic resonance imaging for prediction of pathological complete response to neoadjuvant chemoradiotherapy in rectal cancer: A systematic review and meta-analysis.
    Jia LL; Zheng QY; Tian JH; He DL; Zhao JX; Zhao LP; Huang G
    Front Oncol; 2022; 12():1026216. PubMed ID: 36313696
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnostic performance of radiomics in predicting axillary lymph node metastasis in breast cancer: A systematic review and meta-analysis.
    Gong X; Guo Y; Zhu T; Peng X; Xing D; Zhang M
    Front Oncol; 2022; 12():1046005. PubMed ID: 36518318
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics and deep learning models for CT pre-operative lymph node staging in pancreatic ductal adenocarcinoma: A systematic review and meta-analysis.
    Castellana R; Fanni SC; Roncella C; Romei C; Natrella M; Neri E
    Eur J Radiol; 2024 Jul; 176():111510. PubMed ID: 38781919
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A meta-analysis of MRI-based radiomic features for predicting lymph node metastasis in patients with cervical cancer.
    Li L; Zhang J; Zhe X; Tang M; Zhang X; Lei X; Zhang L
    Eur J Radiol; 2022 Jun; 151():110243. PubMed ID: 35366583
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predictive value of radiomic features extracted from primary lung adenocarcinoma in forecasting thoracic lymph node metastasis: a systematic review and meta-analysis.
    Wu T; Gao C; Lou X; Wu J; Xu M; Wu L
    BMC Pulm Med; 2024 May; 24(1):246. PubMed ID: 38762472
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The predictive value of radiomics-based machine learning for peritoneal metastasis in gastric cancer patients: a systematic review and meta-analysis.
    Zhang F; Wu G; Chen N; Li R
    Front Oncol; 2023; 13():1196053. PubMed ID: 37465109
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A meta-analysis of based radiomics for predicting lymph node metastasis in patients with biliary tract cancers.
    Ma Y; Lin Y; Lu J; He Y; Shi Q; Liu H; Li J; Zhang B; Zhang J; Zhang Y; Yue P; Meng W; Li X
    Front Surg; 2022; 9():1045295. PubMed ID: 36684162
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Application of radiomics for preoperative prediction of lymph node metastasis in colorectal cancer: a systematic review and meta-analysis.
    Abbaspour E; Karimzadhagh S; Monsef A; Joukar F; Mansour-Ghanaei F; Hassanipour S
    Int J Surg; 2024 Jun; 110(6):3795-3813. PubMed ID: 38935817
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine learning for lymph node metastasis prediction of in patients with gastric cancer: A systematic review and meta-analysis.
    Li Y; Xie F; Xiong Q; Lei H; Feng P
    Front Oncol; 2022; 12():946038. PubMed ID: 36059703
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Diagnostic Performance of Machine Learning-Based Radiomics of DCE-MRI in Predicting Axillary Lymph Node Metastasis in Breast Cancer: A Meta-Analysis.
    Zhang J; Li L; Zhe X; Tang M; Zhang X; Lei X; Zhang L
    Front Oncol; 2022; 12():799209. PubMed ID: 35186739
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prognostic value of CT scan-based radiomics in intracerebral hemorrhage patients: A systematic review and meta-analysis.
    HajiEsmailPoor Z; Kargar Z; Baradaran M; Shojaeshafiei F; Tabnak P; Mandalou L; Klontzas ME; Shahidi R
    Eur J Radiol; 2024 Sep; 178():111652. PubMed ID: 39079323
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The differential diagnosis value of radiomics-based machine learning in Parkinson's disease: a systematic review and meta-analysis.
    Bian J; Wang X; Hao W; Zhang G; Wang Y
    Front Aging Neurosci; 2023; 15():1199826. PubMed ID: 37484694
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics in distinguishing between lung adenocarcinoma and lung squamous cell carcinoma: a systematic review and meta-analysis.
    Shi L; Zhao J; Wei Z; Wu H; Sheng M
    Front Oncol; 2024; 14():1381217. PubMed ID: 39381037
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnostic Accuracy of Artificial Intelligence Based on Imaging Data for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.
    Zhang J; Huang S; Xu Y; Wu J
    Front Oncol; 2022; 12():763842. PubMed ID: 35280776
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.