Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer

Harriet L. Lancaster; Anna N.H. Walstra; Kyle Myers; Ricardo S. Avila; Jan Willem C. Gratama; Marjolein A. Heuvelmans; Sean B. Fain; David A. Clunie; Ella A. Kazerooni; Maryellen L. Giger; Anthony P. Reeves; Jens Vogel-Claussen; Harry de Koning; Rowena Yip; Luis M. Seijo; John K. Field; James L. Mulshine; Mario Silva; David F. Yankelevitz; Claudia I. Henschke; Matthijs Oudkerk

doi:10.1016/j.ejca.2025.115323

Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer

Harriet L. Lancaster, Anna N.H. Walstra, Kyle Myers, Ricardo S. Avila, Jan Willem C. Gratama, Marjolein A. Heuvelmans, Sean B. Fain, David A. Clunie, Ella A. Kazerooni, Maryellen L. Giger, Anthony P. Reeves, Jens Vogel-Claussen, Harry de Koning, Rowena Yip, Luis M. Seijo, John K. Field, James L. Mulshine, Mario Silva, David F. Yankelevitz, Claudia I. HenschkeMatthijs Oudkerk^*

^*Corresponding author for this work

Life Course Epidemiology (LCE)

Research output: Contribution to journal › Review article › peer-review

2 Downloads (Pure)

Abstract

Reduction in lung cancer mortality is achievable through low dose computed tomography (LDCT) screening in high-risk individuals. Many countries are progressing from local LDCT screening studies to national screening programs. Implementation of effective large-scale screening programs is complex and requires a multi-disciplinary approach. A recent overview of the technical aspects of implementing high quality LDCT for screening resulted from the inaugural international expert meeting of the Alliance for Global Implementation of Lung and Cardiac Early Disease Detection and Treatment (AGILE). This covers the most important aspects of the CT imaging process: standardisation in CT image acquisition and interpretation, CT protocol management, technology developments and minimal requirements, integration of lung cancer biomarkers, and the role of AI in CT lung nodule detection, segmentation, and classification, and related data security issues.

Original language	English
Article number	115323
Number of pages	7
Journal	European Journal of Cancer
Volume	220
DOIs	https://doi.org/10.1016/j.ejca.2025.115323
Publication status	Published - 2-May-2025

Keywords

Artificial intelligence
Biomarkers
Early detection
LDCT
Lung cancer
Lung nodule
Screening

Access to Document

10.1016/j.ejca.2025.115323Licence: CC BY

Action plan for an international imaging frameworkFinal publisher's version, 1.87 MBLicence: CC BY

Handle.net

Persistent link

Cite this

Lancaster, H. L., Walstra, A. N. H., Myers, K., Avila, R. S., Gratama, J. W. C., Heuvelmans, M. A., Fain, S. B., Clunie, D. A., Kazerooni, E. A., Giger, M. L., Reeves, A. P., Vogel-Claussen, J., de Koning, H., Yip, R., Seijo, L. M., Field, J. K., Mulshine, J. L., Silva, M., Yankelevitz, D. F., ... Oudkerk, M. (2025). Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer. European Journal of Cancer, 220, Article 115323. https://doi.org/10.1016/j.ejca.2025.115323

@article{01186c5ddbb449f890c1f748cecce121,

title = "Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer",

abstract = "Reduction in lung cancer mortality is achievable through low dose computed tomography (LDCT) screening in high-risk individuals. Many countries are progressing from local LDCT screening studies to national screening programs. Implementation of effective large-scale screening programs is complex and requires a multi-disciplinary approach. A recent overview of the technical aspects of implementing high quality LDCT for screening resulted from the inaugural international expert meeting of the Alliance for Global Implementation of Lung and Cardiac Early Disease Detection and Treatment (AGILE). This covers the most important aspects of the CT imaging process: standardisation in CT image acquisition and interpretation, CT protocol management, technology developments and minimal requirements, integration of lung cancer biomarkers, and the role of AI in CT lung nodule detection, segmentation, and classification, and related data security issues.",

keywords = "Artificial intelligence, Biomarkers, Early detection, LDCT, Lung cancer, Lung nodule, Screening",

author = "Lancaster, {Harriet L.} and Walstra, {Anna N.H.} and Kyle Myers and Avila, {Ricardo S.} and Gratama, {Jan Willem C.} and Heuvelmans, {Marjolein A.} and Fain, {Sean B.} and Clunie, {David A.} and Kazerooni, {Ella A.} and Giger, {Maryellen L.} and Reeves, {Anthony P.} and Jens Vogel-Claussen and {de Koning}, Harry and Rowena Yip and Seijo, {Luis M.} and Field, {John K.} and Mulshine, {James L.} and Mario Silva and Yankelevitz, {David F.} and Henschke, {Claudia I.} and Matthijs Oudkerk",

note = "Publisher Copyright: {\textcopyright} 2025 The Authors",

year = "2025",

month = may,

day = "2",

doi = "10.1016/j.ejca.2025.115323",

language = "English",

volume = "220",

journal = "European Journal of Cancer",

issn = "0959-8049",

publisher = "ELSEVIER SCI LTD",

}

Lancaster, HL, Walstra, ANH, Myers, K, Avila, RS, Gratama, JWC, Heuvelmans, MA, Fain, SB, Clunie, DA, Kazerooni, EA, Giger, ML, Reeves, AP, Vogel-Claussen, J, de Koning, H, Yip, R, Seijo, LM, Field, JK, Mulshine, JL, Silva, M, Yankelevitz, DF, Henschke, CI & Oudkerk, M 2025, 'Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer', European Journal of Cancer, vol. 220, 115323. https://doi.org/10.1016/j.ejca.2025.115323

TY - JOUR

T1 - Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer

AU - Lancaster, Harriet L.

AU - Walstra, Anna N.H.

AU - Myers, Kyle

AU - Avila, Ricardo S.

AU - Gratama, Jan Willem C.

AU - Heuvelmans, Marjolein A.

AU - Fain, Sean B.

AU - Clunie, David A.

AU - Kazerooni, Ella A.

AU - Giger, Maryellen L.

AU - Reeves, Anthony P.

AU - Vogel-Claussen, Jens

AU - de Koning, Harry

AU - Yip, Rowena

AU - Seijo, Luis M.

AU - Field, John K.

AU - Mulshine, James L.

AU - Silva, Mario

AU - Yankelevitz, David F.

AU - Henschke, Claudia I.

AU - Oudkerk, Matthijs

PY - 2025/5/2

Y1 - 2025/5/2

N2 - Reduction in lung cancer mortality is achievable through low dose computed tomography (LDCT) screening in high-risk individuals. Many countries are progressing from local LDCT screening studies to national screening programs. Implementation of effective large-scale screening programs is complex and requires a multi-disciplinary approach. A recent overview of the technical aspects of implementing high quality LDCT for screening resulted from the inaugural international expert meeting of the Alliance for Global Implementation of Lung and Cardiac Early Disease Detection and Treatment (AGILE). This covers the most important aspects of the CT imaging process: standardisation in CT image acquisition and interpretation, CT protocol management, technology developments and minimal requirements, integration of lung cancer biomarkers, and the role of AI in CT lung nodule detection, segmentation, and classification, and related data security issues.

AB - Reduction in lung cancer mortality is achievable through low dose computed tomography (LDCT) screening in high-risk individuals. Many countries are progressing from local LDCT screening studies to national screening programs. Implementation of effective large-scale screening programs is complex and requires a multi-disciplinary approach. A recent overview of the technical aspects of implementing high quality LDCT for screening resulted from the inaugural international expert meeting of the Alliance for Global Implementation of Lung and Cardiac Early Disease Detection and Treatment (AGILE). This covers the most important aspects of the CT imaging process: standardisation in CT image acquisition and interpretation, CT protocol management, technology developments and minimal requirements, integration of lung cancer biomarkers, and the role of AI in CT lung nodule detection, segmentation, and classification, and related data security issues.

KW - Artificial intelligence

KW - Biomarkers

KW - Early detection

KW - LDCT

KW - Lung cancer

KW - Lung nodule

KW - Screening

UR - http://www.scopus.com/inward/record.url?scp=85218947357&partnerID=8YFLogxK

U2 - 10.1016/j.ejca.2025.115323

DO - 10.1016/j.ejca.2025.115323

M3 - Review article

SN - 0959-8049

VL - 220

JO - European Journal of Cancer

JF - European Journal of Cancer

M1 - 115323

ER -

Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer

Abstract

Keywords

Access to Document

Handle.net

Other files and links

Fingerprint

Cite this