BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

379 related articles for article (PubMed ID: 35495035)

  • 1. Radiomics Nomogram for Predicting Stroke Recurrence in Symptomatic Intracranial Atherosclerotic Stenosis.
    Tang M; Gao J; Ma N; Yan X; Zhang X; Hu J; Zhuo Z; Shi X; Li L; Lei X; Zhang X
    Front Neurosci; 2022; 16():851353. PubMed ID: 35495035
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predictive value of the combination between the intracranial arterial culprit plaque characteristics and the Essen Stroke Risk Score for short-term stroke recurrence.
    Ren K; Jiang H; Li T; Qian C; Gong S; Wang T; Zhu L
    J Stroke Cerebrovasc Dis; 2022 Sep; 31(9):106624. PubMed ID: 35933933
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Radiomics Nomogram for Classifying Hematoma Entities in Acute Spontaneous Intracerebral Hemorrhage on Non-contrast-Enhanced Computed Tomography.
    Wang J; Xiong X; Ye J; Yang Y; He J; Liu J; Yin YL
    Front Neurosci; 2022; 16():837041. PubMed ID: 35757547
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomics nomogram based on multi-parametric magnetic resonance imaging for predicting early recurrence in small hepatocellular carcinoma after radiofrequency ablation.
    Zhang X; Wang C; Zheng D; Liao Y; Wang X; Huang Z; Zhong Q
    Front Oncol; 2022; 12():1013770. PubMed ID: 36439458
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging.
    Zhang Y; Peng J; Liu J; Ma Y; Shu Z
    Front Oncol; 2022; 12():828904. PubMed ID: 35480114
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of a MRI-based combined radiomics nomogram for differentiation in chondrosarcoma.
    Li X; Lan M; Wang X; Zhang J; Gong L; Liao F; Lin H; Dai S; Fan B; Dong W
    Front Oncol; 2023; 13():1090229. PubMed ID: 36925933
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application Value of Magnetic Resonance Radiomics and Clinical Nomograms in Evaluating the Sensitivity of Neoadjuvant Chemotherapy for Nasopharyngeal Carcinoma.
    Hu C; Zheng D; Cao X; Pang P; Fang Y; Lu T; Chen Y
    Front Oncol; 2021; 11():740776. PubMed ID: 34790570
    [TBL] [Abstract][Full Text] [Related]  

  • 8. T2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer.
    Li H; Chai L; Pu H; Yin LL; Li M; Zhang X; Liu YS; Pang MH; Lu T
    Insights Imaging; 2024 Feb; 15(1):57. PubMed ID: 38411722
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Clinical features and FLAIR radiomics nomogram for predicting functional outcomes after thrombolysis in ischaemic stroke.
    Xu Q; Zhu Y; Zhang X; Kong D; Duan S; Guo L; Yin X; Jiang L; Liu Z; Yang W
    Front Neurosci; 2023; 17():1063391. PubMed ID: 36908776
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Novel Nomogram for Preoperative Prediction of Early Recurrence in Intrahepatic Cholangiocarcinoma.
    Liang W; Xu L; Yang P; Zhang L; Wan D; Huang Q; Niu T; Chen F
    Front Oncol; 2018; 8():360. PubMed ID: 30234019
    [No Abstract]   [Full Text] [Related]  

  • 11. A radiomics nomogram for predicting the meningioma grade based on enhanced
    Duan C; Zhou X; Wang J; Li N; Liu F; Gao S; Liu X; Xu W
    Br J Radiol; 2022 Sep; 95(1137):20220141. PubMed ID: 35816518
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An MRI-Based Radiomics Nomogram to Assess Recurrence Risk in Sinonasal Malignant Tumors.
    Wang T; Hao J; Gao A; Zhang P; Wang H; Nie P; Jiang Y; Bi S; Liu S; Hao D
    J Magn Reson Imaging; 2023 Aug; 58(2):520-531. PubMed ID: 36448476
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Preoperative Cervical Lymph Node Metastasis Prediction in Papillary Thyroid Carcinoma: A Noninvasive Clinical Multimodal Radiomics (CMR) Nomogram Analysis.
    Hu W; Zhuang Y; Tang L; Chen H; Wang H; Wei R; Wang L; Ding Y; Xie X; Ge Y; Wu PY; Song B
    J Oncol; 2023; 2023():3270137. PubMed ID: 36936372
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma.
    Hou J; Li H; Zeng B; Pang P; Ai Z; Li F; Lu Q; Yu X
    Eur Radiol; 2022 Feb; 32(2):1106-1114. PubMed ID: 34467454
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by Surgery.
    Qiu Q; Duan J; Deng H; Han Z; Gu J; Yue NJ; Yin Y
    Front Oncol; 2020; 10():1398. PubMed ID: 32850451
    [No Abstract]   [Full Text] [Related]  

  • 16. A Nomogram Combining MRI Multisequence Radiomics and Clinical Factors for Predicting Recurrence of High-Grade Serous Ovarian Carcinoma.
    Li C; Wang H; Chen Y; Fang M; Zhu C; Gao Y; Li J; Dong J; Wu X
    J Oncol; 2022; 2022():1716268. PubMed ID: 35571486
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma
    Shi L; Shi W; Peng X; Zhan Y; Zhou L; Wang Y; Feng M; Zhao J; Shan F; Liu L
    Front Oncol; 2021; 11():618677. PubMed ID: 33968722
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Radiomics Signature-Based Nomogram to Predict the Progression-Free Survival of Patients With Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization Plus Radiofrequency Ablation.
    Fang S; Lai L; Zhu J; Zheng L; Xu Y; Chen W; Wu F; Wu X; Chen M; Weng Q; Ji J; Zhao Z; Tu J
    Front Mol Biosci; 2021; 8():662366. PubMed ID: 34532340
    [No Abstract]   [Full Text] [Related]  

  • 19. Hepatocellular carcinoma: radiomics nomogram on gadoxetic acid-enhanced MR imaging for early postoperative recurrence prediction.
    Zhang Z; Jiang H; Chen J; Wei Y; Cao L; Ye Z; Li X; Ma L; Song B
    Cancer Imaging; 2019 May; 19(1):22. PubMed ID: 31088553
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A pretreatment multiparametric MRI-based radiomics-clinical machine learning model for predicting radiation-induced temporal lobe injury in patients with nasopharyngeal carcinoma.
    Wang L; Qiu T; Zhou J; Zhu Y; Sun B; Yang G; Huang S; Wu L; He X
    Head Neck; 2024 Jun; ():. PubMed ID: 38887926
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.