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 *

157 related articles for article (PubMed ID: 34631529)

  • 1. Prediction Model for Lung Cancer in High-Risk Nodules Being Considered for Resection: Development and Validation in a Chinese Population.
    Xia C; Liu M; Li X; Zhang H; Li X; Wu D; Ren D; Hua Y; Dong M; Liu H; Chen J
    Front Oncol; 2021; 11():700179. PubMed ID: 34631529
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Risk factor analysis of the patients with solitary pulmonary nodules and establishment of a prediction model for the probability of malignancy].
    Wang X; Xu YH; Du ZY; Qian YJ; Xu ZH; Chen R; Shi MH
    Zhonghua Zhong Liu Za Zhi; 2018 Feb; 40(2):115-120. PubMed ID: 29502371
    [No Abstract]   [Full Text] [Related]  

  • 3. Development of a Risk Prediction Model to Estimate the Probability of Malignancy in Pulmonary Nodules Being Considered for Biopsy.
    Reid M; Choi HK; Han X; Wang X; Mukhopadhyay S; Kou L; Ahmad U; Wang X; Mazzone PJ
    Chest; 2019 Aug; 156(2):367-375. PubMed ID: 30940455
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparison of Veterans Affairs, Mayo, Brock classification models and radiologist diagnosis for classifying the malignancy of pulmonary nodules in Chinese clinical population.
    Cui X; Heuvelmans MA; Han D; Zhao Y; Fan S; Zheng S; Sidorenkov G; Groen HJM; Dorrius MD; Oudkerk M; de Bock GH; Vliegenthart R; Ye Z
    Transl Lung Cancer Res; 2019 Oct; 8(5):605-613. PubMed ID: 31737497
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Establishment and Verification of A Novel Predictive Model of Malignancy
for Non-solid Pulmonary Nodules].
    Xiao F; Yu Q; Zhang Z; Liu D; Liang C
    Zhongguo Fei Ai Za Zhi; 2019 Jan; 22(1):26-33. PubMed ID: 30674390
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Risk assessment of malignancy in solitary pulmonary nodules in lung computed tomography: a multivariable predictive model study.
    Liu HY; Zhao XR; Chi M; Cheng XS; Wang ZQ; Xu ZW; Li YL; Yang R; Wu YJ; Zhang XJ
    Chin Med J (Engl); 2021 Jun; 134(14):1687-1694. PubMed ID: 34397595
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of Prediction Models for Identifying Malignancy in Pulmonary Nodules Detected via Low-Dose Computed Tomography.
    González Maldonado S; Delorme S; Hüsing A; Motsch E; Kauczor HU; Heussel CP; Kaaks R
    JAMA Netw Open; 2020 Feb; 3(2):e1921221. PubMed ID: 32058555
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting Lung Cancer Risk of Incidental Solid and Subsolid Pulmonary Nodules in Different Sizes.
    Zhang R; Tian P; Chen B; Zhou Y; Li W
    Cancer Manag Res; 2020; 12():8057-8066. PubMed ID: 32943938
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Discriminating invasive adenocarcinoma among lung pure ground-glass nodules: a multi-parameter prediction model.
    Hu F; Huang H; Jiang Y; Feng M; Wang H; Tang M; Zhou Y; Tan X; Liu Y; Xu C; Ding N; Bai C; Hu J; Yang D; Zhang Y
    J Thorac Dis; 2021 Sep; 13(9):5383-5394. PubMed ID: 34659805
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Risk of malignancy in pulmonary nodules: A validation study of four prediction models.
    Al-Ameri A; Malhotra P; Thygesen H; Plant PK; Vaidyanathan S; Karthik S; Scarsbrook A; Callister ME
    Lung Cancer; 2015 Jul; 89(1):27-30. PubMed ID: 25864782
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Probability of cancer in lung nodules using sequential volumetric screening up to 12 months: the UKLS trial.
    Marcus MW; Duffy SW; Devaraj A; Green BA; Oudkerk M; Baldwin D; Field J
    Thorax; 2019 Aug; 74(8):761-767. PubMed ID: 31028232
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The Probability of Lung Cancer in Patients With Incidentally Detected Pulmonary Nodules: Clinical Characteristics and Accuracy of Prediction Models.
    Vachani A; Zheng C; Amy Liu IL; Huang BZ; Osuji TA; Gould MK
    Chest; 2022 Feb; 161(2):562-571. PubMed ID: 34364866
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Modified Model for Preoperatively Predicting Malignancy of Solitary Pulmonary Nodules: An Asia Cohort Study.
    Zheng B; Zhou X; Chen J; Zheng W; Duan Q; Chen C
    Ann Thorac Surg; 2015 Jul; 100(1):288-94. PubMed ID: 26037540
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
    Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Establishment of a predicting model to evaluate the probability of malignancy or benign in patients with solid solitary pulmonary nodules].
    Xiang Y; Sun Y; Gao W; Han B; Chen Q; Ye X; Zhu L; Liu Y; Fang W
    Zhonghua Yi Xue Za Zhi; 2016 May; 96(17):1354-8. PubMed ID: 27180754
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The Lung Cancer Prediction Model "Stress Test": Assessment of Models' Performance in a High-Risk Prospective Pulmonary Nodule Cohort.
    Heideman BE; Kammer MN; Paez R; Swanson T; Godfrey CM; Low SW; Xiao D; Li TZ; Richardson JR; Knight MA; Shojaee S; Deppen SA; Lentz RJ; Grogan EL; Maldonado F
    CHEST Pulm; 2024 Mar; 2(1):. PubMed ID: 38737731
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nomogram For The Prediction Of Malignancy In Small (8-20 mm) Indeterminate Solid Solitary Pulmonary Nodules In Chinese Populations.
    Chen XB; Yan RY; Zhao K; Zhang DF; Li YJ; Wu L; Dong XX; Chen Y; Gao DP; Ding YY; Wang XC; Li ZH
    Cancer Manag Res; 2019; 11():9439-9448. PubMed ID: 31807073
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Validation of prediction models for risk stratification of incidentally detected pulmonary subsolid nodules: a retrospective cohort study in a Korean tertiary medical centre.
    Kim H; Park CM; Jeon S; Lee JH; Ahn SY; Yoo RE; Lim HJ; Park J; Lim WH; Hwang EJ; Lee SM; Goo JM
    BMJ Open; 2018 May; 8(5):e019996. PubMed ID: 29794091
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Nomogram for Predicting the Risk of Invasive Pulmonary Adenocarcinoma for Pure Ground-Glass Nodules.
    Wang L; Shen W; Xi Y; Liu S; Zheng D; Jin C
    Ann Thorac Surg; 2018 Apr; 105(4):1058-1064. PubMed ID: 29452996
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Accurate classification of pulmonary nodules by a combined model of clinical, imaging, and cell-free DNA methylation biomarkers: a model development and external validation study.
    He J; Wang B; Tao J; Liu Q; Peng M; Xiong S; Li J; Cheng B; Li C; Jiang S; Qiu X; Yang Y; Ye Z; Zeng F; Zhang J; Liu D; Li W; Chen Z; Zeng Q; Fan JB; Liang W
    Lancet Digit Health; 2023 Oct; 5(10):e647-e656. PubMed ID: 37567793
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.