127 related articles for article (PubMed ID: 27908443)
1. A retrospective validation study of three models to estimate the probability of malignancy in patients with small pulmonary nodules from a tertiary oncology follow-up centre.
Talwar A; Rahman NM; Kadir T; Pickup LC; Gleeson F
Clin Radiol; 2017 Feb; 72(2):177.e1-177.e8. PubMed ID: 27908443
[TBL] [Abstract][Full Text] [Related]
2. 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]
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. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9.
Taralli S; Scolozzi V; Foti M; Ricciardi S; Forcione AR; Cardillo G; Calcagni ML
Eur J Nucl Med Mol Imaging; 2019 Feb; 46(2):429-436. PubMed ID: 30535767
[TBL] [Abstract][Full Text] [Related]
10. Comparison of Brock University, Mayo Clinic and Herder models for pretest probability of cancer in solid pulmonary nodules.
Susam S; Çinkooğlu A; Ceylan KC; Gürsoy S; Kömürcüoğlu BE; Mertoğlu A; Çırak AK; Gayaf M; Güldaval F; Tuksavul F; Polat G; Ataman S; Yıldırım E; Koparal H; Yücel N
Clin Respir J; 2022 Nov; 16(11):740-749. PubMed ID: 36207775
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Likelihood of malignancy in a solitary pulmonary nodule: comparison of Bayesian analysis and results of FDG-PET scan.
Dewan NA; Shehan CJ; Reeb SD; Gobar LS; Scott WJ; Ryschon K
Chest; 1997 Aug; 112(2):416-22. PubMed ID: 9266877
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Management of Pulmonary Nodules by Community Pulmonologists: A Multicenter Observational Study.
Tanner NT; Aggarwal J; Gould MK; Kearney P; Diette G; Vachani A; Fang KC; Silvestri GA
Chest; 2015 Dec; 148(6):1405-1414. PubMed ID: 26087071
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Predicting Malignancy Risk of Screen-Detected Lung Nodules-Mean Diameter or Volume.
Tammemagi M; Ritchie AJ; Atkar-Khattra S; Dougherty B; Sanghera C; Mayo JR; Yuan R; Manos D; McWilliams AM; Schmidt H; Gingras M; Pasian S; Stewart L; Tsai S; Seely JM; Burrowes P; Bhatia R; Haider EA; Boylan C; Jacobs C; van Ginneken B; Tsao MS; Lam S;
J Thorac Oncol; 2019 Feb; 14(2):203-211. PubMed ID: 30368011
[TBL] [Abstract][Full Text] [Related]
17. Diagnostic Performance of (18)F-Fluorodeoxyglucose in 162 Small Pulmonary Nodules Incidentally Detected in Subjects Without a History of Malignancy.
Calcagni ML; Taralli S; Cardillo G; Graziano P; Ialongo P; Mattoli MV; Di Franco D; Caldarella C; Carleo F; Indovina L; Giordano A
Ann Thorac Surg; 2016 Apr; 101(4):1303-9. PubMed ID: 26822348
[TBL] [Abstract][Full Text] [Related]
18. Development and Validation of Machine Learning-based Model for the Prediction of Malignancy in Multiple Pulmonary Nodules: Analysis from Multicentric Cohorts.
Chen K; Nie Y; Park S; Zhang K; Zhang Y; Liu Y; Hui B; Zhou L; Wang X; Qi Q; Li H; Kang G; Huang Y; Chen Y; Liu J; Cui J; Li M; Park IK; Kang CH; Shen H; Yang Y; Guan T; Zhang Y; Yang F; Kim YT; Wang J
Clin Cancer Res; 2021 Apr; 27(8):2255-2265. PubMed ID: 33627492
[TBL] [Abstract][Full Text] [Related]
19. Analysis and validation of probabilistic models for predicting malignancy in solitary pulmonary nodules in a population in Brazil.
Melo CB; Perfeito JA; Daud DF; Costa Júnior Ada S; Santoro IL; Leão LE
J Bras Pneumol; 2012; 38(5):559-65. PubMed ID: 23147047
[TBL] [Abstract][Full Text] [Related]
20. Clinical prediction model to characterize pulmonary nodules: validation and added value of 18F-fluorodeoxyglucose positron emission tomography.
Herder GJ; van Tinteren H; Golding RP; Kostense PJ; Comans EF; Smit EF; Hoekstra OS
Chest; 2005 Oct; 128(4):2490-6. PubMed ID: 16236914
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
