AI Integrations with Lung Cancer Screening: Considerations in Developing AI in a Public Health Setting

Morteza Naghavi; James L Mulshine; Ricardo S Avila; Raymond Osarogiagbon; Ugo Pastorino; Mario Sylva; Bruce S Pyenson; Carolyn Aldige; Anthony P Reeves; Torsten Blum; Matthew Cham; Albert Rizzo; Harry J de Koning; Sheila Ross; Sean B Fain; Victoria Schneider; John Field; Luis M Seijo; Dorith Shaham; Raja Flores; Maryellen L. Giger; Robert Smith; Ilya Gipp; Emanuela Taoli; Kevin ten Haaf; Frederic W Grannis; Jan Willem C Gratama; Carlijn M van der Aalst; Lucia Viola; Cheryl Healton; Ella A Kazerooni; Jens Vogel-Claussen; Anna N.H. Walstra; Karen Kelly; Ning Wu; Harriet L Lancaster; Pan-Chyr Yang; Luis M. Montuenga; Kyle J Myers; Rowena Yip; Matthijs Oudkerk; Claudia I. Henschke; David F. Yankelelvitz

doi:10.1016/j.ejca.2025.115345

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AI Integrations with Lung Cancer Screening: Considerations in Developing AI in a Public Health Setting

Journal article

Peer reviewed

AI Integrations with Lung Cancer Screening: Considerations in Developing AI in a Public Health Setting

Morteza Naghavi, James L Mulshine, Ricardo S Avila, Raymond Osarogiagbon, Ugo Pastorino, Mario Sylva, Bruce S Pyenson, Carolyn Aldige, Anthony P Reeves, Torsten Blum, …

European journal of cancer (1990), Vol.220, 115345

05/02/2025

DOI: 10.1016/j.ejca.2025.115345

PMID: 40090215

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https://research.rug.nl/en/publications/e4e27cbd-dbbf-4ba1-b661-8edd8d0063e8View

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Abstract

Lung cancer screening implementation has led to expanded imaging of the chest in older, tobacco-exposed populations. Growing numbers of screening cases are also found to have CT-detectable emphysema or elevated levels of coronary calcium, indicating the presence of coronary artery disease. Early interventions based on these additional findings, especially with coronary calcium, are emerging and follow established protocols. Given the pace of diagnostic innovation and the potential public health impact, it is timely to review issues in developing useful chest CT screening infrastructure as chest CT screening will soon involve millions of participants worldwide. Lung cancer screening succeeds because it detects curable, early primary lung cancer by characterizing and measuring changes in non-calcified, lung nodules in the size-range from 3 mm- 15 mm in diameter. Therefore, close attention to imaging methodology is essential to lung screening success and similar image quality issues are required for reliable quantitative characterization of early emphysema and coronary artery disease. Today’s emergence of advanced image analysis using artificial intelligence (AI) is disrupting many aspects of medical imaging including chest CT screening. Given these emerging technological and volume trends, a major concern is how to balance the diverse needs of parties committed to building AI tools for precise, reproducible, and economical chest CT screening, while addressing the public health needs of screening participants receiving this service. A new consortium, the Alliance for Global Implementation of Lung and Cardiac Early Disease Detection and Treatment (AGILEDxRx) is committed to facilitate broad, equitable implementation of multi-disciplinary, high quality chest CT screening using advanced computational tools at accessible cost. •Artificial Intelligence has potential to facilitate chest CT screening implementation•Chest CT screening detects lung cancer, emphysema and coronary artery calcification•Chest CT screening involves processes from image acquisition, analysis to decision support•AI can optimize image measurement and facilitate radiological reporting•Critical AI tools for screening quality needed for all

Lung Cancer

artificial intelligence

chest CT scan

chronic obstructive pulmonary disease

coronary artery disease

emphysema

lung cancer screening

Details

Title: Subtitle: AI Integrations with Lung Cancer Screening: Considerations in Developing AI in a Public Health Setting
Creators: Morteza Naghavi - HeartLung AI Technologies, Houston, TX, USA
James L Mulshine - Rush University
Ricardo S Avila - Accumetra, LLC, Clifton Park, New York, USA
Raymond Osarogiagbon - Baptist Cancer Center
Ugo Pastorino - Fondazione IRCCS Istituto Nazionale dei Tumori
Mario Sylva - University of Parma
Bruce S Pyenson - Milliman (United States)
Carolyn Aldige - Prevent Cancer Foundation
Anthony P Reeves - Cornell University
Torsten Blum - Helios Klinikum Emil von Behring
Matthew Cham - University of Washington
Albert Rizzo - American Lung Association
Harry J de Koning - Erasmus University Rotterdam
Sheila Ross - I-ELCAP Board, Annapolis, MD, USA
Sean B Fain - University of Iowa
Victoria Schneider - Siemens Healthineers (Germany)
John Field - University of Liverpool
Luis M Seijo - Clinica Universidad de Navarra
Dorith Shaham - Hadassah Medical Center
Raja Flores - Mount Sinai Health System
Maryellen L. Giger - University of Chicago
Robert Smith - American Cancer Society
Ilya Gipp - General Electric (United States)
Emanuela Taoli - Mount Sinai Health System
Kevin ten Haaf - Erasmus MC
Frederic W Grannis - City Of Hope National Medical Center
Jan Willem C Gratama - Gelre Hospitals
Carlijn M van der Aalst - Erasmus MC
Lucia Viola - Fundación Neumológica Colombiana
Cheryl Healton - New York University
Ella A Kazerooni - Michigan Medicine
Jens Vogel-Claussen - Medizinische Hochschule Hannover
Anna N.H. Walstra - Institute for Diagnostic Accuracy, Groningen, NL
Karen Kelly - International Association for the Study of Lung Cancer
Ning Wu - Chinese Academy of Medical Sciences & Peking Union Medical College
Harriet L Lancaster - University Medical Center Groningen
Pan-Chyr Yang - National Taiwan University
Luis M. Montuenga - Navarre Institute of Health Research
Kyle J Myers - Institute for Advanced Study
Rowena Yip - Mount Sinai Health System
Matthijs Oudkerk - Institute for Diagnostic Accuracy, Groningen, NL
Claudia I. Henschke - Mount Sinai Health System
David F. Yankelelvitz - Mount Sinai Health System
Resource Type: Journal article
Publication Details: European journal of cancer (1990), Vol.220, 115345
DOI: 10.1016/j.ejca.2025.115345
PMID: 40090215
NLM abbreviation: Eur J Cancer
ISSN: 0959-8049
eISSN: 1879-0852
Publisher: Elsevier Ltd; London
Language: English
Electronic publication date: 03/06/2025
Date published: 05/02/2025
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Health, Sport, and Human Physiology
Record Identifier: 9984800197702771

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