» Articles » PMID: 35535966

Advances in Lung Cancer Screening and Early Detection

Overview
Journal Cancer Biol Med
Specialty Oncology
Date 2022 May 10
PMID 35535966
Authors
Affiliations
Soon will be listed here.
Abstract

Lung cancer is associated with a heavy cancer-related burden in terms of patients' physical and mental health worldwide. Two randomized controlled trials, the US-National Lung Screening Trial (NLST) and Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON), indicated that low-dose CT (LDCT) screening results in a statistically significant decrease in mortality in patients with lung cancer, LDCT has become the standard approach for lung cancer screening. However, many issues in lung cancer screening remain unresolved, such as the screening criteria, high false-positive rate, and radiation exposure. This review first summarizes recent studies on lung cancer screening from the US, Europe, and Asia, and discusses risk-based selection for screening and the related issues. Second, an overview of novel techniques for the differential diagnosis of pulmonary nodules, including artificial intelligence and molecular biomarker-based screening, is presented. Third, current explorations of strategies for suspected malignancy are summarized. Overall, this review aims to help clinicians understand recent progress in lung cancer screening and alleviate the burden of lung cancer.

Citing Articles

Lung Cancer-Epidemiology, Pathogenesis, Treatment and Molecular Aspect (Review of Literature).

Smolarz B, Lukasiewicz H, Samulak D, Piekarska E, Kolacinski R, Romanowicz H Int J Mol Sci. 2025; 26(5).

PMID: 40076671 PMC: 11900952. DOI: 10.3390/ijms26052049.


A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.

Kotoulas S, Spyratos D, Porpodis K, Domvri K, Boutou A, Kaimakamis E Cancers (Basel). 2025; 17(5).

PMID: 40075729 PMC: 11898928. DOI: 10.3390/cancers17050882.


Integrating artificial intelligence into radiological cancer imaging: from diagnosis and treatment response to prognosis.

Zheng S, Cui X, Ye Z Cancer Biol Med. 2025; 22(1).

PMID: 39907115 PMC: 11795265. DOI: 10.20892/j.issn.2095-3941.2024.0422.


The Treatment of Patients with Early-Stage Non-Small Cell Lung Cancer Who Are Not Candidates or Decline Surgical Resection: The Role of Radiation and Image-Guided Thermal Ablation.

Buchberger D, Khurana R, Bolen M, Videtic G J Clin Med. 2025; 13(24.

PMID: 39768701 PMC: 11727850. DOI: 10.3390/jcm13247777.


Detection of aberrant locomotor activity in a mouse model of lung cancer via home cage monitoring.

Tomanelli M, Guffanti F, Vargiu G, Micotti E, Rigamonti M, Tumiatti F Front Oncol. 2025; 14:1504938.

PMID: 39763604 PMC: 11701213. DOI: 10.3389/fonc.2024.1504938.


References
1.
Cristofanilli M, Budd G, Ellis M, Stopeck A, Matera J, Miller M . Circulating tumor cells, disease progression, and survival in metastatic breast cancer. N Engl J Med. 2004; 351(8):781-91. DOI: 10.1056/NEJMoa040766. View

2.
FROST J, BALL Jr W, Levin M, Tockman M, Baker R, Carter D . Early lung cancer detection: results of the initial (prevalence) radiologic and cytologic screening in the Johns Hopkins study. Am Rev Respir Dis. 1984; 130(4):549-54. DOI: 10.1164/arrd.1984.130.4.549. View

3.
Kubik A, Polak J . Lung cancer detection. Results of a randomized prospective study in Czechoslovakia. Cancer. 1986; 57(12):2427-37. DOI: 10.1002/1097-0142(19860615)57:12<2427::aid-cncr2820571230>3.0.co;2-m. View

4.
Rampinelli C, De Marco P, Origgi D, Maisonneuve P, Casiraghi M, Veronesi G . Exposure to low dose computed tomography for lung cancer screening and risk of cancer: secondary analysis of trial data and risk-benefit analysis. BMJ. 2017; 356:j347. PMC: 5421449. DOI: 10.1136/bmj.j347. View

5.
Aberle D, Adams A, Berg C, Black W, Clapp J, Fagerstrom R . Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011; 365(5):395-409. PMC: 4356534. DOI: 10.1056/NEJMoa1102873. View