BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

124 related articles for article (PubMed ID: 38890695)

  • 1. Noninvasive prediction of lymph node metastasis in pancreatic cancer using an ultrasound-based clinicoradiomics machine learning model.
    Wen DY; Chen JM; Tang ZP; Pang JS; Qin Q; Zhang L; He Y; Yang H
    Biomed Eng Online; 2024 Jun; 23(1):56. PubMed ID: 38890695
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Construction and validation of an endoscopic ultrasonography-based ultrasomics nomogram for differentiating pancreatic neuroendocrine tumors from pancreatic cancer.
    Mo S; Huang C; Wang Y; Zhao H; Wei H; Qin H; Jiang H; Qin S
    Front Oncol; 2024; 14():1359364. PubMed ID: 38854733
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP.
    Zhang G; Shi Y; Yin P; Liu F; Fang Y; Li X; Zhang Q; Zhang Z
    Front Oncol; 2022; 12():944569. PubMed ID: 35957890
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Preoperative prediction of regional lymph node metastasis of colorectal cancer based on
    He J; Wang Q; Zhang Y; Wu H; Zhou Y; Zhao S
    Ann Nucl Med; 2021 May; 35(5):617-627. PubMed ID: 33738763
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
    Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images.
    Jin X; Ai Y; Zhang J; Zhu H; Jin J; Teng Y; Chen B; Xie C
    Eur Radiol; 2020 Jul; 30(7):4117-4124. PubMed ID: 32078013
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine Learning Model for Predicting Axillary Lymph Node Metastasis in Clinically Node Positive Breast Cancer Based on Peritumoral Ultrasound Radiomics and SHAP Feature Analysis.
    Wang SR; Cao CL; Du TT; Wang JL; Li J; Li WX; Chen M
    J Ultrasound Med; 2024 May; ():. PubMed ID: 38808580
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and Validation of a Computed Tomography-Based Radiomics Nomogram for the Preoperative Prediction of Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma.
    Mou Y; Han X; Li J; Yu P; Wang C; Song Z; Wang X; Zhang M; Zhang H; Mao N; Song X
    Acad Radiol; 2024 May; 31(5):1805-1817. PubMed ID: 38071100
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].
    Xie Z; Jin J; Liu D; Lu S; Yu H; Han D; Sun W; Huang M
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2024 Apr; 36(4):345-352. PubMed ID: 38813626
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
    Yang Y; Cheng J; Peng Z; Yi L; Lin Z; He A; Jin M; Cui C; Liu Y; Zhong Q; Zuo M
    Acad Radiol; 2024 Apr; 31(4):1615-1628. PubMed ID: 37949702
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ultrasound-based radiomics machine learning models for diagnosing cervical lymph node metastasis in patients with non-small cell lung cancer: a multicentre study.
    Deng Z; Liu X; Wu R; Yan H; Gou L; Hu W; Wan J; Song C; Chen J; Ma D; Zhou H; Tian D
    BMC Cancer; 2024 Apr; 24(1):536. PubMed ID: 38678211
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A non-invasive preoperative prediction model for predicting axillary lymph node metastasis in breast cancer based on a machine learning approach: combining ultrasonographic parameters and breast gamma specific imaging features.
    Cai R; Deng L; Zhang H; Zhang H; Wu Q
    Radiat Oncol; 2024 May; 19(1):63. PubMed ID: 38802938
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The CT-based intratumoral and peritumoral machine learning radiomics analysis in predicting lymph node metastasis in rectal carcinoma.
    Yuan H; Xu X; Tu S; Chen B; Wei Y; Ma Y
    BMC Gastroenterol; 2022 Nov; 22(1):463. PubMed ID: 36384504
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CT-based radiomics analysis of different machine learning models for differentiating benign and malignant parotid tumors.
    Zheng Y; Zhou D; Liu H; Wen M
    Eur Radiol; 2022 Oct; 32(10):6953-6964. PubMed ID: 35484339
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Potential value of CT-based comprehensive nomogram in predicting occult lymph node metastasis of esophageal squamous cell paralaryngeal nerves: a two-center study.
    Xue T; Wan X; Zhou T; Zou Q; Ma C; Chen J
    J Transl Med; 2024 Apr; 22(1):399. PubMed ID: 38689366
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Risk Prediction Model for Physical Restraints Among Older Chinese Adults in Long-term Care Facilities: Machine Learning Study.
    Wang J; Chen H; Wang H; Liu W; Peng D; Zhao Q; Xiao M
    J Med Internet Res; 2023 Apr; 25():e43815. PubMed ID: 37023416
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CT-based radiomics research for discriminating the risk stratification of pheochromocytoma using different machine learning models: a multi-center study.
    Zhao J; Zhan Y; Zhou Y; Yang Z; Xiong X; Ye Y; Yao B; Xu S; Peng Y; Xiao X; Zeng X; Zuo M; Dai X; Gong L
    Abdom Radiol (NY); 2024 May; 49(5):1569-1583. PubMed ID: 38587628
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma.
    Wang Y; Bai G; Huang M; Chen W
    Front Oncol; 2024; 14():1308317. PubMed ID: 38549935
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma.
    Xie H; Song C; Jian L; Guo Y; Li M; Luo J; Li Q; Tan T
    BMC Med Imaging; 2024 May; 24(1):121. PubMed ID: 38789936
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of pelvic lymph node metastasis in prostate cancer using radiomics based on T
    Liu X; Zhang Y; Sun Z; Wang X; Zhang X; Wang X
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1025-1036. PubMed ID: 36097770
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.