Risk-Based lung cancer screening: A systematic review

I Toumazis, M Bastani, SS Han, SK Plevritis - Lung cancer, 2020 - Elsevier
Lung cancer remains the leading cause of cancer related deaths worldwide. Lung cancer
screening using low-dose computed tomography (LDCT) has been shown to reduce lung …

The promises and challenges of early non‐small cell lung cancer detection: patient perceptions, low‐dose CT screening, bronchoscopy and biomarkers

L Kalinke, R Thakrar, SM Janes - Molecular Oncology, 2021 - Wiley Online Library
Lung cancer survival statistics are sobering with survival ranking among the poorest of all
cancers despite the addition of targeted therapies and immunotherapies. However …

Potential disparities by sex and race or ethnicity in lung cancer screening eligibility rates

PF Pinsky, YK Lau, CA Doubeni - Chest, 2021 - Elsevier
Background Criteria for low-dose CT scan lung cancer screening vary across guidelines.
Knowledge of the eligible pool across demographic groups can enable policy and …

Evaluation of risk prediction models to select lung cancer screening participants in Europe: a prospective cohort consortium analysis

X Feng, P Goodley, K Alcala, F Guida… - The Lancet Digital …, 2024 - thelancet.com
Background Lung cancer risk prediction models might efficiently identify individuals who
should be offered lung cancer screening. However, their performance has not been …

Develo** a pan-European technical standard for a comprehensive high-quality lung cancer computed tomography screening programme: an ERS technical …

DR Baldwin, EL O'Dowd, I Tietzova… - European …, 2023 - Eur Respiratory Soc
Background Screening for lung cancer with low radiation dose computed tomography
(LDCT) has a strong evidence base. The European Council adopted a recommendation in …

Explainable machine learning solution for observing optimal surgery timings in thoracic cancer diagnosis

GV Cozma, D Onchis, C Istin, IA Petrache - Applied Sciences, 2022 - mdpi.com
In this paper, we introduce an AI-based procedure to estimate and assist in choosing the
optimal surgery timing, in the case of a thoracic cancer diagnostic, based on an explainable …

The HUNT lung-SNP model: genetic variants plus clinical variables improve lung cancer risk assessment over clinical models

OTD Nguyen, I Fotopoulos, TH Nøst, M Markaki… - Journal of cancer …, 2024 - Springer
Abstract Purpose The HUNT Lung Cancer Model (HUNT LCM) predicts individualized 6-
year lung cancer (LC) risk among individuals who ever smoked cigarettes with high …

Improving Lung Cancer Screening Selection: The HUNT Lung Cancer Risk Model for Ever-Smokers Versus the NELSON and 2021 United States Preventive Services …

OTD Nguyen, I Fotopoulos, M Markaki… - JTO clinical and …, 2024 - Elsevier
Background Improving the method for selecting participants for lung cancer (LC) screening
is an urgent need. Here, we compared the performance of the Helseundersøkelsen i Nord …

Democratic and ethical problem of lung cancer screening: exclusion of true high-risk populations. Can it be fixed? Yes

OD Røe - BMJ Open Respiratory Research, 2020 - bmjopenrespres.bmj.com
Screening a population for a potentially deadly disease, the ultimate goal must be to prevent
morbidity and mortality from this disease for the whole population. Unlike breast cancer or …

Assessing Value in Lung Cancer Treatment: A Detailed Cost-Benefit Analysis of Clinical Management Strategies

R Guzmán Portillo - 2024 - diposit.ub.edu
[eng] INTRODUCTION: Lung cancer represents a serious health problem because, although
it is one of the most common types of cancer, it is also the one with the highest mortality. This …