The role of computer-assisted radiographer reporting in lung cancer screening programmes.

Computers Early Detection of Cancer / methods Humans Lung Neoplasms / diagnostic imaging Multiple Pulmonary Nodules / diagnostic imaging Sensitivity and Specificity Tomography, X-Ray Computed / methods
Early detection of cancer Lung neoplasms Mass screening Radiology Solitary pulmonary nodule

Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Oct 2022
Historique:
received: 18 01 2022
accepted: 13 04 2022
revised: 11 03 2022
pubmed: 15 5 2022
medline: 17 9 2022
entrez: 14 5 2022
Statut: ppublish

Résumé

Successful lung cancer screening delivery requires sensitive, timely reporting of low-dose computed tomography (LDCT) scans, placing a demand on radiology resources. Trained non-radiologist readers and computer-assisted detection (CADe) software may offer strategies to optimise the use of radiology resources without loss of sensitivity. This report examines the accuracy of trained reporting radiographers using CADe support to report LDCT scans performed as part of the Lung Screen Uptake Trial (LSUT). In this observational cohort study, two radiographers independently read all LDCT performed within LSUT and reported on the presence of clinically significant nodules and common incidental findings (IFs), including recommendations for management. Reports were compared against a 'reference standard' (RS) derived from nodules identified by study radiologists without CADe, plus consensus radiologist review of any additional nodules identified by the radiographers. A total of 716 scans were included, 158 of which had one or more clinically significant pulmonary nodules as per our RS. Radiographer sensitivity against the RS was 68-73.7%, with specificity of 92.1-92.7%. Sensitivity for detection of proven cancers diagnosed from the baseline scan was 83.3-100%. The spectrum of IFs exceeded what could reasonably be covered in radiographer training. Our findings highlight the complexity of LDCT reporting requirements, including the limitations of CADe and the breadth of IFs. We are unable to recommend CADe-supported radiographers as a sole reader of LDCT scans, but propose potential avenues for further research including initial triage of abnormal LDCT or reporting of follow-up surveillance scans. • Successful roll-out of mass screening programmes for lung cancer depends on timely, accurate CT scan reporting, placing a demand on existing radiology resources. • This observational cohort study examines the accuracy of trained radiographers using computer-assisted detection (CADe) software to report lung cancer screening CT scans, as a potential means of supporting reporting workflows in LCS programmes. • CADe-supported radiographers were less sensitive than radiologists at identifying clinically significant pulmonary nodules, but had a low false-positive rate and good sensitivity for detection of confirmed cancers.

Identifiants

DOI: 10.1007/s00330-022-08824-1 PMID: 35567604 PMC: PMC9474336
pubmed: 35567604
doi: 10.1007/s00330-022-08824-1
pii: 10.1007/s00330-022-08824-1
pmc: PMC9474336
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

6891-6899

Subventions

Organisme : Cancer Research UK
ID : 28706
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/T02481X/1
Pays : United Kingdom

Informations de copyright

© 2022. The Author(s).

Références

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Auteurs

Helen Hall (H)

Lungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, 5 University Street, London, WC1E 6JF, UK.

Mamta Ruparel (M)

Lungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, 5 University Street, London, WC1E 6JF, UK.

Samantha L Quaife (SL)

Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.

Jennifer L Dickson (JL)

Lungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, 5 University Street, London, WC1E 6JF, UK.

Carolyn Horst (C)

Lungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, 5 University Street, London, WC1E 6JF, UK.

Sophie Tisi (S)

Lungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, 5 University Street, London, WC1E 6JF, UK.

James Batty (J)

Department of Radiology, University College London Hospital, London, UK.

Nicholas Woznitza (N)

Department of Radiology, Homerton University Hospital, London, UK.

Asia Ahmed (A)

Department of Radiology, University College London Hospital, London, UK.

Stephen Burke (S)

Department of Radiology, Homerton University Hospital, London, UK.

Penny Shaw (P)

Department of Radiology, University College London Hospital, London, UK.

May Jan Soo (MJ)

Department of Radiology, Homerton University Hospital, London, UK.

Magali Taylor (M)

Department of Radiology, University College London Hospital, London, UK.

Neal Navani (N)

Lungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, 5 University Street, London, WC1E 6JF, UK.
Department of Thoracic Medicine, University College London Hospital, London, UK.

Angshu Bhowmik (A)

Department of Thoracic Medicine, Homerton University Hospital, London, UK.

David R Baldwin (DR)

Respiratory Medicine Unit, David Evans Research Centre, Nottingham University Hospitals, Nottingham, UK.

Stephen W Duffy (SW)

Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.

Anand Devaraj (A)

Department of Radiology, Royal Brompton Hospital, London, UK.
National Heart and Lung Institute, Imperial College London, London, UK.

Arjun Nair (A)

Department of Radiology, University College London Hospital, London, UK.

Sam M Janes (SM)

Lungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, 5 University Street, London, WC1E 6JF, UK. s.janes@ucl.ac.uk.
Department of Thoracic Medicine, University College London Hospital, London, UK. s.janes@ucl.ac.uk.
ORCID: 0000-0002-6634-5939

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Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Systèmes informatiques › Ordinateurs › The role of computer-assisted radiographer...
questionsmedicales.fr › Diagnostic › Diagnostic précoce › Dépistage précoce du cancer › The role of computer-assisted radiographer...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › The role of computer-assisted radiographer...
questionsmedicales.fr › Maladies de l'appareil respiratoire › Tumeurs de l'appareil respiratoire › Tumeurs du poumon › The role of computer-assisted radiographer...
questionsmedicales.fr › Maladies de l'appareil respiratoire › Tumeurs de l'appareil respiratoire › Tumeurs du poumon › Nodules pulmonaires multiples › The role of computer-assisted radiographer...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Sensibilité et spécificité › The role of computer-assisted radiographer...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Tomographie à rayons X › Tomodensitométrie › The role of computer-assisted radiographer...