Advancing Diagnostic Excellence in Early Lung Cancer Detection

About this Research Topic

Submission deadlines

  1. Manuscript Summary Submission Deadline 25 May 2025 | Manuscript Submission Deadline 12 September 2025

  2. This Research Topic is still accepting articles.

Background

Lung cancer remains the preeminent cancer in terms of mortality globally, primarily due to late-stage detection in many patients. Despite advancements in treatment for late-stage lung cancer, there remains an urgent need to improve early detection to reduce its worldwide death toll. Screening for lung cancer using low-dose computed tomography (CT) is recommended for high-risk populations, but adoption and adherence rates remain low. Moreover, diagnosing lung cancer at the early stages involves complicated processes that need multidisciplinary collaboration, varying widely across different health systems.



This Research Topic aims to promote diagnostic excellence, which encapsulates achieving an accurate, precise, and timely diagnosis while adhering to the highest standards of patient safety, care, and equity. Emphasizing the optimization of screening programs and management of pulmonary nodules is essential to enhance the early detection of lung cancer, potentially leading to improved patient outcomes.



To gather further insights in enhancing the accuracy and efficiency of lung cancer diagnosis, we welcome articles addressing, but not limited to, the following themes:



Disparities in lung cancer screening uptake and adherence, as well as pulmonary nodule management

Clinical validation of biomarkers for early lung cancer detection and risk stratification of pulmonary nodules

The impact of healthcare policies on lung cancer screening and pulmonary nodule management

How social determinants affect diagnostic pathways in lung cancer

Enhancing shared decision-making in the screening and management of pulmonary nodules

Choosing appropriate diagnostic modalities and pathways for pulmonary nodule evaluation

Investigating the potential harms of lung cancer screening and diagnostic evaluations

Applying implementation science to improve diagnostic processes in lung cancer early detection

Ensuring timeliness in the diagnostic evaluation for early lung cancer detection

Exploring lung cancer screening practices in never-smokers

We encourage submissions across a variety of article types including original research, review, mini review, opinion, and commentary pieces, among others.

Please note: manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Disclosures: Michael N Krammer recieves consulting fees from Biodesix related to lung cancer diagnostic biomarkers and Yeon Wook Kim received research grants from AstraZeneca.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

  • Brief Research Report
  • Case Report
  • Clinical Trial
  • Editorial
  • General Commentary
  • Hypothesis and Theory
  • Methods
  • Mini Review
  • Opinion

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Keywords: Lung cancer, preeminent cancer, late-stage detection, treatment, advancement

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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