Effectiveness of CadAI-B for Breast
Multi-Reader Multi-Case, retrospektiv studie för att utvärdera effektiviteten av CadAI-B för bröst
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
Studieöversikt
Detaljerad beskrivning
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.
Studietyp
Inskrivning (Faktisk)
Kontakter och platser
Studieorter
-
-
-
Seoul, Sydkorea, 03722
- Yonsei University Severance Hospital
-
-
Deltagandekriterier
Urvalskriterier
Åldrar som är berättigade till studier
Tar emot friska volontärer
Kön som är behöriga för studier
Testmetod
Studera befolkning
Mainly recruited from a tertiary hospital but no limitation of enrollment
Beskrivning
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
Hur är studien utformad?
Designdetaljer
- Observationsmodeller: COHORT
- Tidsperspektiv: RETROSPECTIVE
Kohorter och interventioner
Grupp / Kohort |
Intervention / 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. |
Vad mäter studien?
Primära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
|
Area Under the LROC Curve
Tidsram: 6 weeks
|
Area Under the Localization Receiver Operating Characteristic (LROC) Curve |
6 weeks
|
Sekundära resultatmått
Resultatmått |
Åtgärdsbeskrivning |
Tidsram |
|---|---|---|
|
Lesion detection sensitivity and specificity
Tidsram: 6 weeks
|
The mean sensitivity and specificity of 15 readers were calculated and compared between the aided and unaided sessions. |
6 weeks
|
Samarbetspartners och utredare
Sponsor
Samarbetspartners
Studieavstämningsdatum
Studera stora datum
Studiestart (Faktisk)
Primärt slutförande (Faktisk)
Avslutad studie (Faktisk)
Studieregistreringsdatum
Först inskickad
Först inskickad som uppfyllde QC-kriterierna
Första postat (Faktisk)
Uppdateringar av studier
Senaste uppdatering publicerad (Faktisk)
Senaste inskickade uppdateringen som uppfyllde QC-kriterierna
Senast verifierad
Mer information
Termer relaterade till denna studie
Ytterligare relevanta MeSH-villkor
Andra studie-ID-nummer
- DP0001-SEV-CAB-II
- RS-2023-00227526 (Annat bidrag/finansieringsnummer: Korea Ministry of Science and ICT)
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