229 related articles for article (PubMed ID: 17965070)
21. Multicentre external validation of the BIMC model for solid solitary pulmonary nodule malignancy prediction.
Soardi GA; Perandini S; Larici AR; Del Ciello A; Rizzardi G; Solazzo A; Mancino L; Bernhart M; Motton M; Montemezzi S
Eur Radiol; 2017 May; 27(5):1929-1933. PubMed ID: 27553937
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. The utility of nodule volume in the context of malignancy prediction for small pulmonary nodules.
Mehta HJ; Ravenel JG; Shaftman SR; Tanner NT; Paoletti L; Taylor KK; Tammemagi MC; Gomez M; Nietert PJ; Gould MK; Silvestri GA
Chest; 2014 Mar; 145(3):464-472. PubMed ID: 23949741
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. 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]
26. 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]
27. [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]
28. Accuracy of clinicians and models for estimating the probability that a pulmonary nodule is malignant.
Balekian AA; Silvestri GA; Simkovich SM; Mestaz PJ; Sanders GD; Daniel J; Porcel J; Gould MK
Ann Am Thorac Soc; 2013 Dec; 10(6):629-35. PubMed ID: 24063427
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Clinical-radiological predictive model in differential diagnosis of small (≤ 20 mm) solitary pulmonary nodules.
Zhao HC; Xu QS; Shi YB; Ma XJ
BMC Pulm Med; 2021 Sep; 21(1):281. PubMed ID: 34482833
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. Estimating the probability of malignancy in solitary pulmonary nodules. A Bayesian approach.
Cummings SR; Lillington GA; Richard RJ
Am Rev Respir Dis; 1986 Sep; 134(3):449-52. PubMed ID: 3752700
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Solitary pulmonary nodules: meta-analytic comparison of cross-sectional imaging modalities for diagnosis of malignancy.
Cronin P; Dwamena BA; Kelly AM; Carlos RC
Radiology; 2008 Mar; 246(3):772-82. PubMed ID: 18235105
[TBL] [Abstract][Full Text] [Related]
35. Development and validation of diagnostic prediction model for solitary pulmonary nodules.
Yonemori K; Tateishi U; Uno H; Yonemori Y; Tsuta K; Takeuchi M; Matsuno Y; Fujiwara Y; Asamura H; Kusumoto M
Respirology; 2007 Nov; 12(6):856-62. PubMed ID: 17986114
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Solid pulmonary nodule risk assessment and decision analysis: comparison of four prediction models in 285 cases.
Perandini S; Soardi GA; Motton M; Rossi A; Signorini M; Montemezzi S
Eur Radiol; 2016 Sep; 26(9):3071-6. PubMed ID: 26645862
[TBL] [Abstract][Full Text] [Related]
38. Development and Validation of a
Guo HY; Lin JT; Huang HH; Gao Y; Yan MR; Sun M; Xu WP; Yan HH; Zhong WZ; Yang XN
Clin Lung Cancer; 2020 Jan; 21(1):47-55. PubMed ID: 31474376
[TBL] [Abstract][Full Text] [Related]
39. Models to Estimate the Probability of Malignancy in Patients with Pulmonary Nodules.
Choi HK; Ghobrial M; Mazzone PJ
Ann Am Thorac Soc; 2018 Oct; 15(10):1117-1126. PubMed ID: 30272500
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
