AI-Assisted Chest CT Interpretation Across the Lung Cancer Care Continuum
Development of a Chest CT-Based Artificial Intelligence Model Across the Lung Cancer Care Continuum and a Prospective Randomized Crossover Reader Study of Its Clinical Decision-Support Performance
This investigator-initiated, single-center study consists of a retrospective artificial intelligence model-development stage and a prospective physician reader-study stage. Deidentified chest CT examinations acquired during routine clinical care between January 1, 2021, and December 31, 2024, will be used to develop, validate, and lock artificial intelligence models for lung cancer-related imaging tasks.
In the prospective stage, approximately 12 to 15 physicians with experience in chest CT interpretation will complete two reading sessions in randomized order: unaided interpretation and AI-assisted interpretation. The sessions will be separated by a washout period of at least 4 weeks. The primary objective is to compare diagnostic performance between AI-assisted and unaided interpretation. Secondary objectives include reading time, diagnostic confidence, inter-reader agreement, and errors related to incorrect AI suggestions.
All readings will be performed in an offline research environment. AI outputs will not be used for patient care, and the study will not add imaging examinations, treatment, or follow-up for patients.
Studie Overzicht
Toestand
Toestand
Conditie
Conditie
Interventie / Behandeling
Interventie / Behandeling
Studietype
Studietype
Inschrijving (Geschat)
Inschrijving
Fase
Fase
- Niet toepasbaar
Contacten en locaties
Studiecontact
Studiecontact
- Naam: Lian Yang, PhD
- Telefoonnummer: +86 18986273791
- E-mail: yanglian@hust.edu.cn
Studie Locaties
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Hubei
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Wuhan, Hubei, China, 430022
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
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Contact:
- Lian Yang, PhD
- Telefoonnummer: +86 18986273791
- E-mail: yanglian@hust.edu.cn
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-
Deelname Criteria
Geschiktheidscriteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
Accepteert gezonde vrijwilligers
Geslachten die in aanmerking komen voor studie
Beschrijving
Inclusion Criteria:
- Physicians with education or training relevant to medical imaging
- Experience in interpreting chest CT examinations
- Ability to complete the required study training and both reading sessions
- Willingness to provide written informed consent and comply with study procedures
Exclusion Criteria:
- Failure to complete the required study training
- Inability or unwillingness to complete both reading sessions as required
- Any protocol deviation likely to compromise the validity of the reader-study data
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
- Primair doel: Diagnostisch
- Toewijzing: Gerandomiseerd
- Interventioneel model: Crossover-opdracht
- Masker: Geen (open label)
Aantal wapens
Wapens en interventies
Deelnemersgroep / ArmDeelnemersgroep / Arm |
Interventie / BehandelingInterventie / Behandeling |
|---|---|
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Experimenteel: Sequence AB: Unaided Then AI-Assisted Interpretation
Participants first complete an unaided chest CT interpretation session. After a washout period of at least 4 weeks, they complete an AI-assisted interpretation session. |
A locked research-use-only artificial intelligence system analyzes deidentified chest CT images and provides decision-support outputs to participating physicians. The system is evaluated only in an offline reader-study environment and is not used for actual patient care. |
|
Experimenteel: Sequence BA: AI-Assisted Then Unaided Interpretation
Participants first complete an AI-assisted chest CT interpretation session. After a washout period of at least 4 weeks, they complete an unaided interpretation session. |
A locked research-use-only artificial intelligence system analyzes deidentified chest CT images and provides decision-support outputs to participating physicians. The system is evaluated only in an offline reader-study environment and is not used for actual patient care. |
Wat meet het onderzoek?
Primaire uitkomstmaten
Primaire uitkomstmaten
Uitkomstmaat |
Maatregel Beschrijving |
Tijdsspanne |
|---|---|---|
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Difference in Diagnostic Accuracy Between AI-Assisted and Unaided Chest CT Interpretation
Tijdsspanne: At completion of the second reading session, after a washout period of at least 4 weeks
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Diagnostic accuracy will be calculated as the proportion of case-level interpretations that agree with the prespecified reference standard based on pathology or clinical follow-up. The paired difference in diagnostic accuracy between AI-assisted and unaided interpretation will be estimated across participating physicians and cases using a multi-reader multi-case analysis and reported with a 95% confidence interval. Higher accuracy indicates better diagnostic performance. |
At completion of the second reading session, after a washout period of at least 4 weeks
|
Medewerkers en onderzoekers
Sponsor
Sponsor
Studie record data
Bestudeer belangrijke data
Studie start (Geschat)
Studie start
Primaire voltooiing (Geschat)
Primaire voltooiing
Studie voltooiing (Geschat)
Studie voltooiing
Studieregistratiedata
Eerst ingediend
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Werkelijk)
Eerst geplaatst
Updates van studierecords
Laatste update geplaatst (Werkelijk)
Laatste update geplaatst
Laatste update ingediend die voldeed aan QC-criteria
Laatste update ingediend die voldeed aan QC-criteria
Laatst geverifieerd
Laatst geverifieerd
Meer informatie
Termen gerelateerd aan deze studie
Trefwoorden
Aanvullende relevante MeSH-voorwaarden
Andere studie-ID-nummers
Andere studie-ID-nummers
- Radio-20260816
Plan Individuele Deelnemersgegevens (IPD)
Bent u van plan om gegevens van individuele deelnemers (IPD) te delen?
Informatie over medicijnen en apparaten, studiedocumenten
Bestudeert een door de Amerikaanse FDA gereguleerd geneesmiddel
Bestudeert een door de Amerikaanse FDA gereguleerd apparaatproduct
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