Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study

Tammemägi, M.; Schmidt, Heidi; Martel, Simon; McWilliams, Annette; Goffin, John R.; Johnston, Michael; Nicholas, Garth; Tremblay, Alain; Bhatia, Rick; Liu, Geoffrey; Soghrati, Kam; Yasufuku, Kazuhiro; Hwang, David; Laberge, Francis; Gingras, Michel J. P.; Pasian, Sergio; Couture, Christian; Mayo, John R.; Fauerbach, Paola V. Nasute; Atkar-Khattra, Sukhinder; Peacock, Stuart; Cressman, Sonya; Ionescu, Diana N.; English, John; Finley, Richard J.; Yee, John; Puksa, Serge; Stewart, Lori; Tsai, Scott S. H.; Haider, Ehsan; Boylan, Colm; Cutz, Jean‐Claude; Manos, Daria; Xu, Zhaolin; Goss, Glenwood D.; Seely, Jean M.; Amjadi, Kayvan; Sekhon, Harmanjatinder S.; Burrowes, Paul; MacEachern, Paul; Urbanski, Stefan J.; Sin, Don D.; Tan, Wan C.; Leighl, Natasha B.; Shepherd, Frances A.; Evans, William K.; Tsao, Ming‐Sound; Lam, Stephen

doi:10.1016/s1470-2045(17)30597-1

Cited by 170 publications

(170 citation statements)

References 29 publications

Supporting

Mentioning

162

Contrasting

Unclassified

Order By: Relevance

“…The current study uses data from the PanCan study, which has been described elsewhere. 14 In brief, the PanCan study was a single-arm prospective lung cancer screening study in which 2537 individuals at high risk for lung cancer were screened for lung cancer using LDCT in eight centers across Canada. Entry into the study was based on having a 2% or higher 6-year risk according to a prototype of the Prostate, Lung and Ovarian Cancer Screening Trial model 2012 risk prediction model.…”

Section: Methodsmentioning

confidence: 99%

Predicting Malignancy Risk of Screen-Detected Lung Nodules–Mean Diameter or Volume

Tammemägi

Ritchie

Atkar-Khattra³

et al. 2019

Journal of Thoracic Oncology

Self Cite

View full text Add to dashboard Cite

Objective: In lung cancer screening practice low-dose computed tomography, diameter, and volumetric measurement have been used in the management of screen-detected lung nodules. The aim of this study was to compare the performance of nodule malignancy risk prediction tools using diameter or volume and between computer-aided detection (CAD) and radiologist measurements.Methods: Multivariable logistic regression models were prepared by using data from two multicenter lung cancer screening trials. For model development and validation, baseline low-dose computed tomography scans from the Pan-Canadian Early Detection of Lung Cancer Study and a subset of National Lung Screening Trial (NLST) scans with lung nodules 3 mm or more in mean diameter were analyzed by using the CIRRUS Lung Screening Workstation ). In the NLST sample, nodules with cancer had been matched on the basis of size to nodules without cancer.Results: Both CAD-based mean diameter and volume models showed excellent discrimination and calibration, with similar areas under the receiver operating characteristic curves of 0.947. The two CAD models had predictive performance similar to that of the radiologist-based model.

show abstract

Section: Methodsmentioning

confidence: 99%

Predicting Malignancy Risk of Screen-Detected Lung Nodules–Mean Diameter or Volume

Tammemägi

Ritchie

Atkar-Khattra³

et al. 2019

Journal of Thoracic Oncology

Self Cite

View full text Add to dashboard Cite

show abstract

“…A separate designation of "surveillance" was assigned to cases for which an incidental finding of a small pulmonary nodule of low suspicion resulted in further surveillance imaging, only later showing suspicion for cancer. A small number of cases diagnosed as a result of a nationwide clinical trial (Pan-Canadian Early Detection of Lung Cancer Study) 17 were indexed under the category of "screening." This category also included cases in patients who were not involved in clinical trials but for whom the imaging requisition specifically stated "screening.…”

Section: Clinical Indication For Testingmentioning

confidence: 99%

Initial presentation of lung cancer in the emergency department: a descriptive analysis

Suhail

Crocker

Das

et al. 2019

cmajo

Self Cite

View full text Add to dashboard Cite

Background: Guidelines aimed at improving care for lung cancer, the leading cause of cancer-related death in Canada and worldwide, require accurate knowledge of the diagnostic setting or pathway. We sought to determine how often lung cancer is initially diagnosed through the emergency department. Methods:We performed a descriptive study that included all cases of primary lung cancer diagnosed in residents of Nova Scotia in 2014. Cancer registry data included diagnostic data and date of death to Aug. 31, 2016. We reviewed linked hospital records, including laboratory and imaging results, to identify the first positive diagnostic study and the route of presentation (emergency department v. other). We evaluated time from diagnosis to death as a function of presentation route using Kaplan-Meier curves and Cox regression (hazard rate ratios [HRRs]).Results: Sufficient data were available for 946 of 951 cases identified, of which 336 (35.5%) were diagnosed through the emergency department. Cases diagnosed via the emergency department were more likely to be at an advanced stage (stage IV, 59.5% v. 43.4%), with patients experiencing shorter survival (1-yr survival, 28.4% v. 49.5%), including stage-specific survival. Mortality for cases diagnosed in the emergency department was 54% higher than for the non-emergency department group after adjusting for age and stage (HRR 1.54, 95% confidence interval 1.32-1.81). Few patients (7.1%, n = 24) who presented to the emergency department reported having no family physician. Interpretation:The emergency department is a common route of presentation for lung cancer and is associated with advanced stage at diagnosis and reduced survival time. Strategies are needed to encourage pre-emergent diagnosis and to ensure that emergency providers are supported in the initial care of patients with lung cancer. Abstract Research OPEN Research E118CMAJ OPEN, 7(1)Affiliations: Departments of Diagnostic Radiology (Suhail, Crocker, Payne, Manos), Psychiatry (Crocker) and Emergency Medicine (Das), Dalhousie University, Halifax, NS Contributors:All of the authors contributed to the design of the study and to the analysis and interpretation of the data. All of the authors were involved in drafting and revising the manuscript and gave final approval of the version to be published. All of the authors agreed to be accountable for all aspects of the work.

show abstract

“…16 Instead of standard criteria, Tammemagi et al used the PanCan risk model to determine patient eligibility for screening. 17 Results showed the incidence in the screened population of cancers detected as well as the proportion of early-stage cancers was higher than in the NLST. Final outcome from the NELSON trial and pooled results that will include the UK Lung Screening (UKLS) participants are eagerly anticipated in the near future.…”

Section: Lung Cancer Screeningmentioning

confidence: 89%

Progress in the Management of Early-Stage Non–Small Cell Lung Cancer in 2017

Donington

Kim

Tong

et al. 2018

Journal of Thoracic Oncology

View full text Add to dashboard Cite

The landscape of care for early-stage non-small cell lung cancer continues to evolve. While some of the developments do not seem as dramatic as what has occurred in advanced disease in recent years, there is a continuous improvement in our ability to diagnose disease earlier and more accurately. We have an increased understanding of the diversity of early-stage disease and how to better tailor treatments to make them more tolerable without impacting efficacy. The International Association for the Study of Lung Cancer and the Journal of Thoracic Oncology publish this annual update to help readers keep pace with these important developments. Experts in the care of early-stage lung cancer patients have provided focused updates across multiple areas including screening, pathology, staging, surgical techniques and novel technologies, adjuvant therapy, radiotherapy, surveillance, disparities, and quality of life. The source for information includes large academic meetings, the published literature, or novel unpublished data from other international oncology assemblies.

show abstract

Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study

Cited by 170 publications

References 29 publications

Predicting Malignancy Risk of Screen-Detected Lung Nodules–Mean Diameter or Volume

Predicting Malignancy Risk of Screen-Detected Lung Nodules–Mean Diameter or Volume

Initial presentation of lung cancer in the emergency department: a descriptive analysis

Progress in the Management of Early-Stage Non–Small Cell Lung Cancer in 2017

Contact Info

Product

Resources

About