Lung cancer screening: current knowledge, opportunities, and challenges

Summary Lung cancer is the leading cause of cancer-related death worldwide, mainly due to its frequent diagnosis at advanced stages. Low-dose computed tomography screening has thus emerged as an effective tool, enabling early detection and reducing lung cancer mortality. Despite this evidence, the implementation of low-dose computed tomography screening in population-based programs still faces several challenges. In addition, ongoing research on artificial intelligence-based tools and blood biomarkers represents an active field of investigation, with the potential to further improve lung cancer screening efficiency. This review article aims to summarize current knowledge supporting lung cancer screening, highlighting its benefits and opportunities (e.g., detection of other clinically significant conditions, integration with primary prevention interventions), as well as the critical issues that remain to be addressed.

Authors

Institutions

Publication Details

Journal
memo - Magazine of European Medical Oncology
Published
2025-12-19
DOI
https://doi.org/10.1007/s12254-025-01094-9
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lung cancer screening: current knowledge, opportunities, and challenges

Helmut Prosch, Lucian Beer, Daria Kifjak, Rebecca Mura
memo - Magazine of European Medical Oncology
Lung Cancer Diagnosis and Treatment
article

Lung cancer screening: current knowledge, opportunities, and challenges

Helmut Prosch, Lucian Beer, Daria Kifjak, Rebecca Mura
article en

Abstract

Summary Lung cancer is the leading cause of cancer-related death worldwide, mainly due to its frequent diagnosis at advanced stages. Low-dose computed tomography screening has thus emerged as an effective tool, enabling early detection and reducing lung cancer mortality. Despite this evidence, the implementation of low-dose computed tomography screening in population-based programs still faces several challenges. In addition, ongoing research on artificial intelligence-based tools and blood biomarkers represents an active field of investigation, with the potential to further improve lung cancer screening efficiency. This review article aims to summarize current knowledge supporting lung cancer screening, highlighting its benefits and opportunities (e.g., detection of other clinically significant conditions, integration with primary prevention interventions), as well as the critical issues that remain to be addressed.

memo - Magazine of European Medical OncologyVol. 19(1)
Medical University of Vienna (AT)
Openalex Percentile: Top 40%
Lung Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.