Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines

scientific article published on 14 March 2017

Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1007/S00330-017-4767-2
P932PMC publication ID5579178
P698PubMed publication ID28293773

P50authorColin JacobsQ53006685
Bram van GinnekenQ58101398
Sarah J van RielQ89868602
Ernst T ScholtenQ94562831
Francesco CiompiQ110077661
Matiullah NaqibullahQ117279457
Mathilde M Winkler WilleQ117279458
P2093author name stringStephen Lam
Cornelia Schaefer-Prokop
Mathias Prokop
P2860cites workEvaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelinesQ27025828
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approachQ29614698
Probability of cancer in pulmonary nodules detected on first screening CT.Q30573941
Resource utilization and costs during the initial years of lung cancer screening with computed tomography in CanadaQ30587070
Lung cancer probability in patients with CT-detected pulmonary nodules: a prespecified analysis of data from the NELSON trial of low-dose CT screeningQ30857368
Evaluation of reader variability in the interpretation of follow-up CT scans at lung cancer screeningQ34723975
CT Screening for Lung Cancer: Nonsolid Nodules in Baseline and Annual Repeat RoundsQ36232460
Nodular ground-glass opacities on thin-section CT: size change during follow-up and pathological resultsQ37061917
National lung screening trial: variability in nodule detection rates in chest CT studiesQ37113252
Screening for lung cancer using low dose computed tomographyQ38215277
Results of the Randomized Danish Lung Cancer Screening Trial with Focus on High-Risk ProfilingQ41199112
Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening TrialQ41237900
Development of Guidelines for the Management of Pulmonary Nodules: Toward Better ImplementationQ43147625
British Thoracic Society guidelines for the investigation and management of pulmonary nodules.Q51621075
Persistent pulmonary subsolid nodules with solid portions of 5 mm or smaller: Their natural course and predictors of interval growth.Q52990832
Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management.Q53006595
Management of lung nodules detected by volume CT scanning.Q53321287
Critique of Al-Ameri et al. (2015) - Risk of malignancy in pulmonary nodules: A validation study of four prediction modelsQ85370239
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P407language of work or nameEnglishQ1860
P577publication date2017-03-14
P1433published inEuropean RadiologyQ5413071
P1476titleMalignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines

Reverse relations

cites work (P2860)
Q49202631Advances in intelligent diagnosis methods for pulmonary ground-glass opacity nodules
Q88034408Applying Risk Prediction Models to Optimize Lung Cancer Screening: Current Knowledge, Challenges, and Future Directions
Q47689794European position statement on lung cancer screening
Q90090384External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules
Q92273035Insights for Management of Ground-Glass Opacities From the National Lung Screening Trial
Q64957193Lung cancer screening: nodule identification and characterization.
Q44770720Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers
Q89503752Protocol and Rationale for the International Lung Screening Trial
Q64914470Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules.
Q93002175Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR)
Q55278957Validation of prediction models for risk stratification of incidentally detected pulmonary subsolid nodules: a retrospective cohort study in a Korean tertiary medical centre.

Search more.