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Related Experiment Video

Updated: May 26, 2026

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening

Published on: October 26, 2017

Lung cancer screening: rationale and background.

¹Department of Diagnostic and Interventional Radiology, Marien Hospital, Rochusstr. 2, D-40479 Düsseldorf, Germany. s.diederich@marien-hospital.de

Cancer Imaging : the Official Publication of the International Cancer Imaging Society

|December 22, 2011

Summary

Lung cancer screening aims to detect early-stage disease in high-risk individuals, like smokers. While promising, screening methods face challenges like length-time, overdiagnosis, and lead-time biases, impacting mortality reduction and quality of life.

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Last Updated: May 26, 2026

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier (MSC) for Lung Cancer Screening

Published on: October 26, 2017

Area of Science:

Oncology
Public Health
Diagnostic Imaging

Background:

Lung cancer has a poor prognosis in symptomatic patients, contrasting with better outcomes when detected early and asymptomatically.
Screening is crucial for early lung cancer detection, focusing on high-risk populations such as smokers and those exposed to carcinogens.

Purpose of the Study:

To evaluate the necessity and challenges of lung cancer screening programs.
To discuss the biases associated with screening, including length-time, overdiagnosis, and lead-time biases.
To review the effectiveness of current and emerging screening modalities.

Main Methods:

The abstract reviews existing literature and discusses theoretical biases in screening programs.
It examines the limitations of past screening trials using chest radiography and sputum microscopy.
It highlights the potential of computed tomography (CT) and emerging molecular/genetic tests.

Main Results:

Previous screening trials using less sensitive methods (chest radiography, sputum microscopy) have failed to reduce lung cancer mortality.
Screening may preferentially detect indolent tumors (length-time bias) or cancers that would not have been fatal (overdiagnosis bias).
Lead-time bias can increase survival time with a diagnosis but not overall lifespan, potentially impacting quality of life.

Conclusions:

Lung cancer screening is essential for improving prognosis but must target high-risk groups.
Screening effectiveness is hampered by various biases and the limitations of current diagnostic tools.
Computed tomography (CT) shows promise for improved sensitivity, while other advanced tests require further development for clinical application.