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Artificial Intelligence Tools for Refining Lung Cancer Screening

J. Luis Espinoza, Le Thanh Dong
2020 Journal of Clinical Medicine  
in the interpretation of LDCT images obtained in the setting of lung cancer screening.  ...  Nearly one-quarter of all cancer deaths worldwide are due to lung cancer, making this disease the leading cause of cancer death among both men and women.  ...  The training cohort: 25,097 NLST cases Double-blinded validation with 2294 PanCan cases Compared with Lung-RADS, the model identified a high-risk group that was smaller and had a higher proportion  ... 
doi:10.3390/jcm9123860 pmid:33261057 fatcat:32mbnb4hrbawdo7j464vj6j6ui

Protocol and Rationale for the International Lung Screening Trial (ILST)

Kuan Pin Lim, Henry Marshall, Martin Tammemägi, Fraser Brims, Annette McWilliams, Emily Stone, Renee Manser, Karen Canfell, Marianne Weber, Luke Connelly, Rayleen V Bowman, Ian A Yang (+11 others)
2020 Annals of the American Thoracic Society  
The PLCOm2012 6-year and the PanCan nodule malignancy risk models are two of the better-validated risk prediction models for screenee selection and nodule management respectively.  ...  The National Lung Screening Trial (NLST) reported a 20% reduction in lung cancer mortality with low-dose CT (LDCT) screening, however important questions on how to optimize screening remain, including:  ...  On the basis of NLST data and validated in the PLCO dataset, the optimal risk threshold for PLCO m2012 is 1.51% over 6 years.  ... 
doi:10.1513/annalsats.201902-102oc pmid:32011914 pmcid:PMC7175983 fatcat:pqzjtppjlbgz5gsbrauazxlmjq

Contemporary issues in the implementation of lung cancer screening

Stephen Lam, Martin Tammemagi
2021 European Respiratory Review  
Lung cancer screening with low-dose computed tomography can reduce death from lung cancer by 20–24% in high-risk smokers.  ...  This review focuses on selected contemporary issues in the path to implement a cost-effective lung cancer screening at the population level.  ...  Tammemagi acted as a consultant providing advice on the design and analysis of biomarkers or lung cancer screening studies or on cancer risk prediction modelling for Johnson and Johnson/Janssen, Medial  ... 
doi:10.1183/16000617.0288-2020 pmid:34289983 fatcat:jrt2ahrwyrajrf2tzbevsvqe6i

Lung Cancer Screening: Evidence, Risks, and Opportunities for Implementation
Lungenkrebs-Screening: Evidenz, Risiken und Möglichkeiten der Implementierung

Giulia Tringali, Gianluca Milanese, Roberta Eufrasia Ledda, Ugo Pastorino, Nicola Sverzellati, Mario Silva
2021 RöFo. Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (Print)  
Methods This review aims to portray current evidence on lung cancer screening with a focus on the potential for opportunities for implementation strategies.  ...  Several trials with different screening approaches have recognized the role of lung cancer screening with low-dose CT for reducing lung cancer mortality.  ...  Furthermore, results from the Pan-Canadian Early Detection of Lung Cancer (PanCan) study showed that the PanCan risk model (a precursor of PLCOm2012; threshold ≥ 2 % LC risk in 6 years) was effective in  ... 
doi:10.1055/a-1382-8648 pmid:33772489 fatcat:wikizkfohrfxxootmzpmwauzau

Narrative review: indeterminate pulmonary nodules

Benjamin Wadowski, Raphael Bueno
2021 Current Challenges in Thoracic Surgery  
The detection of indeterminate pulmonary nodules (IPNs) has become common through more frequent use of sensitive axial imaging and implementation of lung cancer screening protocols.  ...  It will then review the use of clinical scores, radiographic features, and noninvasive molecular approaches in risk stratifying IPNs with an emphasis on sub-centimeter lesions.  ...  In an analysis of the NLST data by Bach and colleagues, the risk of death and major complication after any diagnostic testing (including nonscreening imaging) in patients with benign nodules was 4.1 and  ... 
doi:10.21037/ccts-20-113 fatcat:myupud74q5clbo6prqpln5keq4

Yorkshire Lung Screening Trial (YLST): protocol for a randomised controlled trial to evaluate invitation to community-based low-dose CT screening for lung cancer versus usual care in a targeted population at risk

Philip AJ Crosbie, Rhian Gabe, Irene Simmonds, Martyn Kennedy, Suzanne Rogerson, Nazia Ahmed, David R Baldwin, Richard Booton, Ann Cochrane, Michael Darby, Kevin Franks, Sebastian Hinde (+11 others)
2020 BMJ Open  
The anticipated number randomised by household is 62 980 individuals. Responders at high risk will be invited for LDCT scanning for lung cancer on a mobile van in the community.  ...  aged 55–80 years registered with a general practice in Leeds will be randomised (1:1) to invitation to a telephone-based risk-assessment for a Lung Health Check or to usual care.  ...  in 2014. 4 5 The PLCO M2012 risk prediction model was derived in 80 375 participants of the PLCO Study, and validated in a separate cohort of 37 332. 13 Lung cancer risk ≥1.51% over 6 years was identified  ... 
doi:10.1136/bmjopen-2020-037075 pmid:32912947 fatcat:wp4a4v3oljf6bigysx7encrvam

Front Matter: Volume 10134

2017 Medical Imaging 2017: Computer-Aided Diagnosis  
Publication of record for individual papers is online in the SPIE Digital Library. Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  These two-number sets start with 00, 01, 02, 03, 04,  ...  phone video-otoscopy and phase-based Eulerian video magnification [10134-67] Automated assessment of imaging biomarkers for the PanCan lung cancer risk prediction model with validation on NLST data [10134  ... 
doi:10.1117/12.2277119 dblp:conf/micad/X17 fatcat:ika7pheqxngdxejyvkss4dkbv4

Structural and functional radiomics for lung cancer

Guangyao Wu, Arthur Jochems, Turkey Refaee, Abdalla Ibrahim, Chenggong Yan, Sebastian Sanduleanu, Henry C. Woodruff, Philippe Lambin
2021 European Journal of Nuclear Medicine and Molecular Imaging  
Radiological images are a powerful non-invasive tool in the screening and diagnosis of early-stage lung cancer, treatment strategy support, prognosis assessment, and follow-up for advanced-stage lung cancer  ...  Conclusion The major drawbacks of radiomics are the lack of large datasets with high-quality data, standardization of methodology, the black-box nature of deep learning, and reproducibility.  ...  A generally recognized and validated clinical model for the malignancy risk of solitary pulmonary nodule is the Brock/PanCan model, which includes both clinical (age, sex, and family history of lung cancer  ... 
doi:10.1007/s00259-021-05242-1 pmid:33693966 pmcid:PMC8484174 fatcat:obo4bghkp5gx3a52ibiuvq22hq

Relationship between nodule count and lung cancer probability in baseline CT lung cancer screening: The NELSON study

Marjolein A Heuvelmans, Joan E Walter, Robin B Peters, Geertruida H de Bock, Uraujh Yousaf-Khan, Carlijn M van der Aalst, Harry J M Groen, Kristiaan Nackaerts, Peter MA van Ooijen, Harry J de Koning, Matthijs Oudkerk, Rozemarijn Vliegenthart
2017 Lung Cancer  
Conclusion: In baseline lung cancer CT screening, half of participants with lung nodules have more than one nodule. Lung cancer probability does not significantly change with the number of nodules.  ...  Each nodule found in lung cancer screening should be assessed separately independent of the presence of other nodules. address: (M.A. Heuvelmans).  ...  Roche diagnostics provided a grant for the performance of proteomics-research. Siemens Germany provided 4 digital workstations and LungCARE ® for the performance of 3Dmeasurements.  ... 
doi:10.1016/j.lungcan.2017.08.023 pmid:29110848 fatcat:maxemjxay5h5bbbmjmmwfffi2y

British Thoracic Society guidelines for the investigation and management of pulmonary nodules: accredited by NICE

M E J Callister, D R Baldwin, A R Akram, S Barnard, P Cane, J Draffan, K Franks, F Gleeson, R Graham, P Malhotra, M Prokop, K Rodger (+3 others)
2015 Thorax  
The area under the receiver operating characteristic (ROC) curve (±SE) for the prediction model was 0.83 (±0.02). The model was validated on data from a separate group of 210 patients.  ...  Grade C ▸ Nodule malignancy risk prediction models should be validated in patients with known extrapulmonary cancer.  ...  of malignancy following PET-CT (Herder model): This calculator estimates the probability that a lung nodule described above will be diagnosed as cancer. 55 DISCLAIMER The risk prediction calculator  ... 
doi:10.1136/thoraxjnl-2015-207168 pmid:26082159 fatcat:u7cymeuflnfeznszxwsef55gm4


2015 Journal of Thoracic Oncology  
Backgrounds: The prognostic significance of additional lung nodules in the setting of lung cancer is important as the impact on survival is often considered for the justification of surgical selection  ...  Imaging criteria were generated based on clinical experience in similar fashion with indicators of SPT being 1) Lesions of equivalent size (one not more than 100% of the  ...  PROs were assessed at baseline and Day 1 of treatment cycles 2, 3, and every two cycles thereafter (1 cycle=28 days), using the Lung Cancer Symptom Scale (LCSS) and EORTC quality of life and lung cancer  ... 
doi:10.1016/s1556-0864(16)30011-9 fatcat:nlhtgbimt5fu5dx4syerr2hjmu

The Proceedings of the 19th International Cancer Imaging Society Meeting and Annual Teaching Course

2019 Cancer Imaging  
They take into account NLST, Nelson, ELCAP, PanCan, and BCCA data, include refined clinical and morphologic risk factors and recognise the important role of physicians and patients preference for more  ...  Clinical practice guidelines for lung cancer largely rely on staging models, which are used not only for predicting disease prognosis, but also to guide treatment.  ...  Aim: To validate a non-contrast fast MRI protocol for high risk patients as a screening tool to detect pancreatic cancer (PC) in its earliest phase, compatible with an R0 resection.  ... 
doi:10.1186/s40644-019-0244-2 fatcat:24addaecrngdvc2c6v37ai5qeq


2017 Respirology (Carlton South. Print)  
All the authors contributed to the study and had no conflict of interest.  ...  Acknowledgements: The grants were from Science and Technology Commission of Shanghai Municipality (No. 14411966400) and the National Science Foundation of China (NSFC81370109, 81670006).  ...  For predicting lung cancer in 6 years, the PLCO m2012 risk prediction model has a higher sensitivity and positive predictive value than the NLST criteria on analysis of the PLCO ever-smokers.  ... 
doi:10.1111/resp.13206_193 fatcat:aocfzb5ulveorgtsqzamm5quee

Feasibility Issues Related to Implementing Lung Cancer Screening with Computed Tomography in Australia [article]

David Manners
Additional support was provided by the WA Cancer and Palliative Care Network.  ...  None of the other lung cancer risk prediction models have been validated in the Australian community.Estimating the proportion eligible for screening is critical to widespread implementation of LDCT lung  ...  Cost effectiveness of lung cancer screening, both within the NLST and in other screening studies, is highly sensitive to the baseline lung cancer risk of the participants and prediction models should improve  ... 
doi:10.26182/5f2a591b555a6 fatcat:mmys5ghhlnbvjjrxrvlc4icx3q