182 related articles for article (PubMed ID: 30937590)
1. Post-imaging pulmonary nodule mathematical prediction models: are they clinically relevant?
Uthoff J; Koehn N; Larson J; Dilger SKN; Hammond E; Schwartz A; Mullan B; Sanchez R; Hoffman RM; Sieren JC;
Eur Radiol; 2019 Oct; 29(10):5367-5377. PubMed ID: 30937590
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. External validation and recalibration of the Brock model to predict probability of cancer in pulmonary nodules using NLST data.
Winter A; Aberle DR; Hsu W
Thorax; 2019 Jun; 74(6):551-563. PubMed ID: 30898897
[TBL] [Abstract][Full Text] [Related]
6. Quantitative CT analysis of lung parenchyma to improve malignancy risk estimation in incidental pulmonary nodules.
Peters AA; Weinheimer O; von Stackelberg O; Kroschke J; Piskorski L; Debic M; Schlamp K; Welzel L; Pohl M; Christe A; Ebner L; Kauczor HU; Heußel CP; Wielpütz MO
Eur Radiol; 2023 Jun; 33(6):3908-3917. PubMed ID: 36538071
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Limited Utility of Pulmonary Nodule Risk Calculators for Managing Large Nodules.
Hammer MM; Nachiappan AC; Barbosa EJM
Curr Probl Diagn Radiol; 2018; 47(1):23-27. PubMed ID: 28571906
[TBL] [Abstract][Full Text] [Related]
9. Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines.
van Riel SJ; Ciompi F; Jacobs C; Winkler Wille MM; Scholten ET; Naqibullah M; Lam S; Prokop M; Schaefer-Prokop C; van Ginneken B
Eur Radiol; 2017 Oct; 27(10):4019-4029. PubMed ID: 28293773
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. [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]
14. Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study.
Wu G; Woodruff HC; Sanduleanu S; Refaee T; Jochems A; Leijenaar R; Gietema H; Shen J; Wang R; Xiong J; Bian J; Wu J; Lambin P
Eur Radiol; 2020 May; 30(5):2680-2691. PubMed ID: 32006165
[TBL] [Abstract][Full Text] [Related]
15. Differentiating minimally invasive and invasive adenocarcinomas in patients with solitary sub-solid pulmonary nodules with a radiomics nomogram.
Feng B; Chen X; Chen Y; Li Z; Hao Y; Zhang C; Li R; Liao Y; Zhang X; Huang Y; Long W
Clin Radiol; 2019 Jul; 74(7):570.e1-570.e11. PubMed ID: 31056198
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Development and validation of a prediction model for measurement variability of lung nodule volumetry in patients with pulmonary metastases.
Hwang EJ; Goo JM; Kim J; Park SJ; Ahn S; Park CM; Shin YG
Eur Radiol; 2017 Aug; 27(8):3257-3265. PubMed ID: 28050697
[TBL] [Abstract][Full Text] [Related]
18. Limited value of logistic regression analysis in solid solitary pulmonary nodules characterization: a single-center experience on 288 consecutive cases.
Perandini S; Soardi GA; Motton M; Dallaserra C; Montemezzi S
J Surg Oncol; 2014 Dec; 110(7):883-7. PubMed ID: 25088475
[TBL] [Abstract][Full Text] [Related]
19. Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer.
Massion PP; Healey GF; Peek LJ; Fredericks L; Sewell HF; Murray A; Robertson JF
J Thorac Oncol; 2017 Mar; 12(3):578-584. PubMed ID: 27615397
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]