BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

267 related articles for article (PubMed ID: 34654966)

  • 21. Predicting the pathological invasiveness in patients with a solitary pulmonary nodule via Shapley additive explanations interpretation of a tree-based machine learning radiomics model: a multicenter study.
    Zhang R; Hong M; Cai H; Liang Y; Chen X; Liu Z; Wu M; Zhou C; Bao C; Wang H; Yang S; Hu Q
    Quant Imaging Med Surg; 2023 Dec; 13(12):7828-7841. PubMed ID: 38106261
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Preoperative nomogram for identifying invasive pulmonary adenocarcinoma in patients with pure ground-glass nodule: A multi-institutional study.
    She Y; Zhao L; Dai C; Ren Y; Zha J; Xie H; Jiang S; Shi J; Shi S; Shi W; Yu B; Jiang G; Fei K; Chen Y; Chen C
    Oncotarget; 2017 Mar; 8(10):17229-17238. PubMed ID: 27542241
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Computed-tomography-based radiomic nomogram for predicting the risk of indeterminate small (5-20 mm) solid pulmonary nodules.
    Zhang CR; Wang Q; Feng H; Cui YZ; Yu XB; Shi GF
    Diagn Interv Radiol; 2023 Mar; 29(2):283-290. PubMed ID: 36987938
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.
    Lu X; Li M; Zhang H; Hua S; Meng F; Yang H; Li X; Cao D
    Phys Med Biol; 2020 Mar; 65(5):055012. PubMed ID: 31978901
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study.
    Wu G; Woodruff HC; Shen J; Refaee T; Sanduleanu S; Ibrahim A; Leijenaar RTH; Wang R; Xiong J; Bian J; Wu J; Lambin P
    Radiology; 2020 Nov; 297(2):451-458. PubMed ID: 32840472
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas.
    Beig N; Khorrami M; Alilou M; Prasanna P; Braman N; Orooji M; Rakshit S; Bera K; Rajiah P; Ginsberg J; Donatelli C; Thawani R; Yang M; Jacono F; Tiwari P; Velcheti V; Gilkeson R; Linden P; Madabhushi A
    Radiology; 2019 Mar; 290(3):783-792. PubMed ID: 30561278
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Development and validation of a prognostic nomogram for malignant esophageal fistula based on radiomics and clinical factors.
    Zhu C; Ding J; Wang S; Qiu Q; Ji Y; Wang L
    Thorac Cancer; 2021 Dec; 12(23):3110-3120. PubMed ID: 34647417
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A predictive nomogram for two-year growth of CT-indeterminate small pulmonary nodules.
    Xue LM; Li Y; Zhang Y; Wang SC; Zhang RY; Ye JD; Yu H; Qiang JW
    Eur Radiol; 2022 Apr; 32(4):2672-2682. PubMed ID: 34677668
    [TBL] [Abstract][Full Text] [Related]  

  • 30. CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.
    Vaidya P; Bera K; Gupta A; Wang X; Corredor G; Fu P; Beig N; Prasanna P; Patil PD; Velu PD; Rajiah P; Gilkeson R; Feldman MD; Choi H; Velcheti V; Madabhushi A
    Lancet Digit Health; 2020 Mar; 2(3):e116-e128. PubMed ID: 33334576
    [TBL] [Abstract][Full Text] [Related]  

  • 31. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study.
    Gu D; Hu Y; Ding H; Wei J; Chen K; Liu H; Zeng M; Tian J
    Eur Radiol; 2019 Dec; 29(12):6880-6890. PubMed ID: 31227882
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer.
    Zhang W; Fang M; Dong D; Wang X; Ke X; Zhang L; Hu C; Guo L; Guan X; Zhou J; Shan X; Tian J
    Radiother Oncol; 2020 Apr; 145():13-20. PubMed ID: 31869677
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer.
    Wang XX; Ding Y; Wang SW; Dong D; Li HL; Chen J; Hu H; Lu C; Tian J; Shan XH
    Cancer Imaging; 2020 Nov; 20(1):83. PubMed ID: 33228815
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Personalized CT-based radiomics nomogram preoperative predicting Ki-67 expression in gastrointestinal stromal tumors: a multicenter development and validation cohort.
    Zhang QW; Gao YJ; Zhang RY; Zhou XX; Chen SL; Zhang Y; Liu Q; Xu JR; Ge ZZ
    Clin Transl Med; 2020 Jan; 9(1):12. PubMed ID: 32006200
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma.
    Lu W; Zhong L; Dong D; Fang M; Dai Q; Leng S; Zhang L; Sun W; Tian J; Zheng J; Jin Y
    Eur J Radiol; 2019 Sep; 118():231-238. PubMed ID: 31439247
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Developing a multi-institutional nomogram for assessing lung cancer risk in patients with 5-30 mm pulmonary nodules: a retrospective analysis.
    Jiang Y; Deng T; Huang Y; Ren B; He L; Pang M; Jiang L
    PeerJ; 2023; 11():e16539. PubMed ID: 38107565
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study.
    Wu G; Woodruff HC; Sanduleanu S; Refaee T; Jochems A; Leijenaar R; Gietema H; Shen J; Wang R; Xiong J; Bian J; Wu J; Lambin P
    Eur Radiol; 2020 May; 30(5):2680-2691. PubMed ID: 32006165
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study.
    Wang S; Feng C; Dong D; Li H; Zhou J; Ye Y; Liu Z; Tian J; Wang Y
    Med Phys; 2020 Oct; 47(10):4862-4871. PubMed ID: 32592224
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Identification of pulmonary adenocarcinoma and benign lesions in isolated solid lung nodules based on a nomogram of intranodal and perinodal CT radiomic features.
    Yi L; Peng Z; Chen Z; Tao Y; Lin Z; He A; Jin M; Peng Y; Zhong Y; Yan H; Zuo M
    Front Oncol; 2022; 12():924055. PubMed ID: 36147924
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer.
    Tang TY; Li X; Zhang Q; Guo CX; Zhang XZ; Lao MY; Shen YN; Xiao WB; Ying SH; Sun K; Yu RS; Gao SL; Que RS; Chen W; Huang DB; Pang PP; Bai XL; Liang TB
    J Magn Reson Imaging; 2020 Jul; 52(1):231-245. PubMed ID: 31867839
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.