210 related articles for article (PubMed ID: 21681281)
1. [Establishment of a mathematical prediction model to evaluate the probability of malignancy or benign in patients with solitary pulmonary nodules].
Li Y; Chen KZ; Sui XZ; Bu L; Zhou ZL; Yang F; Liu YG; Zhao H; Li JF; Liu J; Jiang GH; Wang J
Beijing Da Xue Xue Bao Yi Xue Ban; 2011 Jun; 43(3):450-4. PubMed ID: 21681281
[TBL] [Abstract][Full Text] [Related]
2. 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]
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. [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]
5. [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]
6. 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]
7. [Development of a predicting model to estimate the probability of malignancy of solitary pulmonary nodules].
Tian R; Su MG; Tian Y; Li FL; Kuang AR
Sichuan Da Xue Xue Bao Yi Xue Ban; 2012 May; 43(3):404-8. PubMed ID: 22812247
[TBL] [Abstract][Full Text] [Related]
8. A mathematical model for predicting malignancy of solitary pulmonary nodules.
Li Y; Wang J
World J Surg; 2012 Apr; 36(4):830-5. PubMed ID: 22297626
[TBL] [Abstract][Full Text] [Related]
9. The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules.
Swensen SJ; Silverstein MD; Ilstrup DM; Schleck CD; Edell ES
Arch Intern Med; 1997 Apr; 157(8):849-55. PubMed ID: 9129544
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Diagnostic value of PET/CT in differentiating benign from malignant solitary pulmonary nodules.
Dalli A; Selimoglu Sen H; Coskunsel M; Komek H; Abakay O; Sergi C; Cetin Tanrikulu A
J BUON; 2013; 18(4):935-41. PubMed ID: 24344020
[TBL] [Abstract][Full Text] [Related]
13. 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]
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. A clinical-radiological predictive model for solitary pulmonary nodules and the relationship between radiological features and pathological subtype.
Ye Y; Sun Y; Hu J; Ren Z; Chen X; Chen C
Clin Radiol; 2024 Mar; 79(3):e432-e439. PubMed ID: 38097460
[TBL] [Abstract][Full Text] [Related]
17. Application of CT Postprocessing Reconstruction Technique in Differential Diagnosis of Benign and Malignant Solitary Pulmonary Nodules and Analysis of Risk Factors.
Chen X; Xu B
Comput Math Methods Med; 2022; 2022():9739047. PubMed ID: 35983523
[TBL] [Abstract][Full Text] [Related]
18. Prediction of malignancy for solitary pulmonary nodules based on imaging, clinical characteristics and tumor marker levels.
Hou H; Yu S; Xu Z; Zhang H; Liu J; Zhang W
Eur J Cancer Prev; 2021 Sep; 30(5):382-388. PubMed ID: 33284149
[TBL] [Abstract][Full Text] [Related]
19. Solitary pulmonary nodules: clinical prediction model versus physicians.
Swensen SJ; Silverstein MD; Edell ES; Trastek VF; Aughenbaugh GL; Ilstrup DM; Schleck CD
Mayo Clin Proc; 1999 Apr; 74(4):319-29. PubMed ID: 10221459
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
