BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 33025281)

  • 1. A prediction model to evaluate the pretest risk of malignancy in solitary pulmonary nodules: evidence from a large Chinese southwestern population.
    Wu Z; Huang T; Zhang S; Cheng D; Li W; Chen B
    J Cancer Res Clin Oncol; 2021 Jan; 147(1):275-285. PubMed ID: 33025281
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Establishment and validation of multiclassification prediction models for pulmonary nodules based on machine learning.
    Liu Q; Lv X; Zhou D; Yu N; Hong Y; Zeng Y
    Clin Respir J; 2024 May; 18(5):e13769. PubMed ID: 38736274
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [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]  

  • 4. Novel and convenient method to evaluate the character of solitary pulmonary nodule-comparison of three mathematical prediction models and further stratification of risk factors.
    Xiao F; Liu D; Guo Y; Shi B; Song Z; Tian Y; Liang C
    PLoS One; 2013; 8(10):e78271. PubMed ID: 24205175
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Establishment and validation of a prediction model for the probability of malignancy in solid solitary pulmonary nodules in northwest China.
    Duan XQ; Wang XL; Zhang LF; Liu XZ; Zhang WW; Liu YH; Dong CH; Zhao XH; Chen L
    J Surg Oncol; 2021 Mar; 123(4):1134-1143. PubMed ID: 33497476
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and validation of a nomogram to estimate the pretest probability of cancer in Chinese patients with solid solitary pulmonary nodules: A multi-institutional study.
    She Y; Zhao L; Dai C; Ren Y; Jiang G; Xie H; Zhu H; Sun X; Yang P; Chen Y; Shi S; Shi W; Yu B; Xie D; Chen C
    J Surg Oncol; 2017 Nov; 116(6):756-762. PubMed ID: 28570780
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluation of models for predicting the probability of malignancy in patients with pulmonary nodules.
    Li Y; Hu H; Wu Z; Yan G; Wu T; Liu S; Chen W; Lu Z
    Biosci Rep; 2020 Feb; 40(2):. PubMed ID: 32068231
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and validation of a clinical prediction model to estimate the probability of malignancy in solitary pulmonary nodules in Chinese people.
    Li Y; Chen KZ; Wang J
    Clin Lung Cancer; 2011 Sep; 12(5):313-9. PubMed ID: 21889113
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A clinical model to estimate the pretest probability of lung cancer in patients with solitary pulmonary nodules.
    Gould MK; Ananth L; Barnett PG;
    Chest; 2007 Feb; 131(2):383-8. PubMed ID: 17296637
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of four models predicting the malignancy of pulmonary nodules: A single-center study of Korean adults.
    Yang B; Jhun BW; Shin SH; Jeong BH; Um SW; Zo JI; Lee HY; Sohn I; Kim H; Kwon OJ; Lee K
    PLoS One; 2018; 13(7):e0201242. PubMed ID: 30063725
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Establishment of a mathematic model for predicting malignancy in solitary pulmonary nodules.
    Zhang M; Zhuo N; Guo Z; Zhang X; Liang W; Zhao S; He J
    J Thorac Dis; 2015 Oct; 7(10):1833-41. PubMed ID: 26623107
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Relationship between a history of antecedent cancer and the probability of malignancy for a solitary pulmonary nodule.
    Mery CM; Pappas AN; Bueno R; Mentzer SJ; Lukanich JM; Sugarbaker DJ; Jaklitsch MT
    Chest; 2004 Jun; 125(6):2175-81. PubMed ID: 15189939
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Validation of two models to estimate the probability of malignancy in patients with solitary pulmonary nodules.
    Schultz EM; Sanders GD; Trotter PR; Patz EF; Silvestri GA; Owens DK; Gould MK
    Thorax; 2008 Apr; 63(4):335-41. PubMed ID: 17965070
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Establishment of A Clinical Prediction Model of Solid Solitary Pulmonary Nodules].
    Yu W; Ye B; Xu L; Wang Z; Le H; Wang S; Cao H; Chai Z; Chen Z; Luo Q; Zhang Y
    Zhongguo Fei Ai Za Zhi; 2016 Oct; 19(10):705-710. PubMed ID: 27760603
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [The diagnostic value of machine-learning-based model for predicting the malignancy of solid nodules in multiple pulmonary nodules].
    Zhang K; Wei ZH; Wang X; Chen KZ
    Zhonghua Wai Ke Za Zhi; 2022 Jun; 60(6):573-579. PubMed ID: 35658345
    [No Abstract]   [Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Is the Yedikule-solitary pulmonary nodule malignancy risk score sufficient to predict malignancy? An internal validation study.
    Erdoğu V; Çitak N; Yerlioğlu A; Aksoy Y; Emetli Y; Pekçolaklar A; Saydam Ö; Metin M
    Interact Cardiovasc Thorac Surg; 2021 Jul; 33(2):258-265. PubMed ID: 33792653
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.