BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

113 related articles for article (PubMed ID: 38389378)

  • 1. Prediction of Microwave Ablation Recurrence in Pulmonary Malignancies Using Preoperative Computed Tomography Radiomics Models.
    Zhu F; Yang C; Yang J; Mao H; Huang Y; Liu H; Zhao Z
    Curr Med Imaging; 2024; 20():1-26. PubMed ID: 38389378
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CT-based radiomics models may predict the early efficacy of microwave ablation in malignant lung tumors.
    Zhu F; Yang C; Xia Y; Wang J; Zou J; Zhao L; Zhao Z
    Cancer Imaging; 2023 Jun; 23(1):60. PubMed ID: 37308918
    [TBL] [Abstract][Full Text] [Related]  

  • 3. CT-based peritumoral radiomics signatures to predict early recurrence in hepatocellular carcinoma after curative tumor resection or ablation.
    Shan QY; Hu HT; Feng ST; Peng ZP; Chen SL; Zhou Q; Li X; Xie XY; Lu MD; Wang W; Kuang M
    Cancer Imaging; 2019 Feb; 19(1):11. PubMed ID: 30813956
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A CT-Based Radiomics Nomogram to Predict Complete Ablation of Pulmonary Malignancy: A Multicenter Study.
    Zhang G; Yang H; Zhu X; Luo J; Zheng J; Xu Y; Zheng Y; Wei Y; Mei Z; Shao G
    Front Oncol; 2022; 12():841678. PubMed ID: 35223526
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting Microwave Ablation Early Efficacy in Pulmonary Malignancies via Δ Radiomics Models.
    Yang J; Yang C; Feng J; Zhu F; Zhao Z
    J Comput Assist Tomogr; 2024 Apr; ():. PubMed ID: 38657155
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A combined predictive model based on radiomics features and clinical factors for disease progression in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy.
    Yang H; Wang L; Shao G; Dong B; Wang F; Wei Y; Li P; Chen H; Chen W; Zheng Y; He Y; Zhao Y; Du X; Sun X; Wang Z; Wang Y; Zhou X; Lai X; Feng W; Shen L; Qiu G; Ji Y; Chen J; Jiang Y; Liu J; Zeng J; Wang C; Zhao Q; Yang X; Hu X; Ma H; Chen Q; Chen M; Jiang H; Xu Y
    Front Oncol; 2022; 12():967360. PubMed ID: 35982975
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A radiomics nomogram for predicting postoperative recurrence in esophageal squamous cell carcinoma.
    Tong Y; Chen J; Sun J; Luo T; Duan S; Li K; Zhou K; Zeng J; Lu F
    Front Oncol; 2023; 13():1162238. PubMed ID: 37901318
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The value of CT-based radiomics in predicting the prognosis of acute pancreatitis.
    Xue M; Lin S; Xie D; Wang H; Gao Q; Zou L; Xiao X; Jia Y
    Front Med (Lausanne); 2023; 10():1289295. PubMed ID: 38093973
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MRI-based multiregional radiomics for preoperative prediction of tumor deposit and prognosis in resectable rectal cancer: a bicenter study.
    Li H; Chen XL; Liu H; Liu YS; Li ZL; Pang MH; Pu H
    Eur Radiol; 2023 Nov; 33(11):7561-7572. PubMed ID: 37160427
    [TBL] [Abstract][Full Text] [Related]  

  • 10. What Imaging Modality Is More Effective in Predicting Early Recurrence of Hepatocellular Carcinoma after Hepatectomy Using Radiomics Analysis: CT or MRI or Both?
    Wang Q; Sheng Y; Jiang Z; Liu H; Lu H; Xing W
    Diagnostics (Basel); 2023 Jun; 13(12):. PubMed ID: 37370907
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effectiveness of CT radiomic features combined with clinical factors in predicting prognosis in patients with limited-stage small cell lung cancer.
    Wu J; Zhou Y; Xu C; Yang C; Liu B; Zhao L; Song J; Wang W; Yang Y; Liu N
    BMC Cancer; 2024 Feb; 24(1):170. PubMed ID: 38310283
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A CT-Based Radiomics Nomogram Combined with Clinic-Radiological Characteristics for Preoperative Prediction of the Novel IASLC Grading of Invasive Pulmonary Adenocarcinoma.
    Yang Z; Cai Y; Chen Y; Ai Z; Chen F; Wang H; Han Q; Feng Q; Xiang Z
    Acad Radiol; 2023 Sep; 30(9):1946-1961. PubMed ID: 36567145
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine Learning Classifier for Preoperative Prediction of Early Recurrence After Bronchial Arterial Chemoembolization Treatment in Lung Cancer Patients.
    Kong C; Lai L; Jin X; Chen W; Ding J; Zheng L; Zhang D; Ying X; Chen X; Chen M; Tu J; Ji J
    Acad Radiol; 2023 Dec; 30(12):2880-2893. PubMed ID: 37225529
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of preoperative computed tomography radiomics and clinical factors for predicting postsurgical recurrence of papillary thyroid carcinoma.
    Xu H; Wu W; Zhao Y; Liu Z; Bao D; Li L; Lin M; Zhang Y; Zhao X; Luo D
    Cancer Imaging; 2023 Dec; 23(1):118. PubMed ID: 38098119
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development and Validation of a Radiomics Nomogram for Differentiating Pulmonary Cryptococcosis and Lung Adenocarcinoma in Solitary Pulmonary Solid Nodule.
    Zhao J; Sun L; Sun K; Wang T; Wang B; Yang Y; Wu C; Sun X
    Front Oncol; 2021; 11():759840. PubMed ID: 34858836
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery.
    Liang M; Ma X; Wang L; Li D; Wang S; Zhang H; Zhao X
    Cancer Imaging; 2022 Sep; 22(1):50. PubMed ID: 36089623
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Computed tomography-based radiomics model to predict adverse clinical outcomes in acute pulmonary embolism.
    Yang F; Chen R; Yang Y; Yang Z; Su Y; Ji M; Pang Z; Wang D
    J Thromb Thrombolysis; 2024 Mar; 57(3):428-436. PubMed ID: 38280936
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Establishment and verification of a prediction model based on clinical characteristics and computed tomography radiomics parameters for distinguishing benign and malignant pulmonary nodules.
    Hou X; Wu M; Chen J; Zhang R; Wang Y; Zhang S; Yuan Z; Feng J; Xu L
    J Thorac Dis; 2024 Mar; 16(3):1984-1995. PubMed ID: 38617763
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Radiomics nomogram for preoperative differentiation of pulmonary mucinous adenocarcinoma from tuberculoma in solitary pulmonary solid nodules.
    Zhang J; Hao L; Qi M; Xu Q; Zhang N; Feng H; Shi G
    BMC Cancer; 2023 Mar; 23(1):261. PubMed ID: 36944978
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.