- ICH GCP
- US Clinical Trials Registry
- Klinisk utprøving NCT06352684
Effectiveness of CadAI-B for Breast
Multi-Reader Multi-Case, retrospektiv studie for å evaluere effektiviteten av CadAI-B for bryst
The purpose of this study is to evaluate the effectiveness of lesion detection and diagnosis-aiding software (CadAI-B for Breast) during ultrasound (US) examination
Studieoversikt
Detaljert beskrivelse
CadAI-B for Breast is a real-time artificial intelligence (AI) diagnosis system designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations. The primary objective of the study is to evaluate the effectiveness of CadAI-B in the assistance of detection and diagnosis of breast cancer by comparing the clinical performance of physicians before and after using CadAI-B in their ultrasound reading. The secondary objective of this study is to evaluate the sensitivity and specificity using CadAI-B for US examinations.
Studietype
Registrering (Faktiske)
Kontakter og plasseringer
Studiesteder
-
-
-
Seoul, Sør -Korea, 03722
- Yonsei University Severance Hospital
-
-
Deltakelseskriterier
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
Tar imot friske frivillige
Kjønn som er kvalifisert for studier
Prøvetakingsmetode
Studiepopulasjon
Mainly recruited from a tertiary hospital but no limitation of enrollment
Beskrivelse
Inclusion Criteria:
- Women who underwent breast US examination
- Women with breast cancer (DCIS or invasive cancer) diagnosed via biopsy
- Women who had been followed for more than 2 years after initial US examination
Exclusion Criteria:
- women who had breast implants
- women who had US images containing artifacts affecting the review of images
Studieplan
Hvordan er studiet utformet?
Designdetaljer
- Observasjonsmodeller: COHORT
- Tidsperspektiver: RETROSPECTIVE
Kohorter og intervensjoner
Gruppe / Kohort |
Intervensjon / Behandling |
|---|---|
|
Cancer group
confirmed as a breast cancer (ductal carcinoma in situ (DCIS) or invasive cancer) through the subsequent biopsy conducted within following 1 year of the ultrasound exam. |
CadAI-B for Breast is designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations. |
|
Benign group
Either confirmed as a benign through the subsequent biopsy conducted within following 1 year of the ultrasound exam or showing stability on more than 2 years of imaging follow-up after initial diagnosis |
CadAI-B for Breast is designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations. |
|
Normal group
Interpreted as Breast Imaging Reporting and Data System (BI-RADS) category 1 (Negative) with no cancers on the ultrasound exam |
CadAI-B for Breast is designed to assist healthcare professionals in lesion detection and differential diagnosis during breast US examinations. |
Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Area Under the LROC Curve
Tidsramme: 6 weeks
|
Area Under the Localization Receiver Operating Characteristic (LROC) Curve |
6 weeks
|
Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
|
Lesion detection sensitivity and specificity
Tidsramme: 6 weeks
|
The mean sensitivity and specificity of 15 readers were calculated and compared between the aided and unaided sessions. |
6 weeks
|
Samarbeidspartnere og etterforskere
Sponsor
Samarbeidspartnere
Studierekorddatoer
Studer hoveddatoer
Studiestart (Faktiske)
Primær fullføring (Faktiske)
Studiet fullført (Faktiske)
Datoer for studieregistrering
Først innsendt
Først innsendt som oppfylte QC-kriteriene
Først lagt ut (Faktiske)
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Sist bekreftet
Mer informasjon
Begreper knyttet til denne studien
Ytterligere relevante MeSH-vilkår
Andre studie-ID-numre
- DP0001-SEV-CAB-II
- RS-2023-00227526 (Annet stipend/finansieringsnummer: Korea Ministry of Science and ICT)
Legemiddel- og utstyrsinformasjon, studiedokumenter
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