Effectiveness of CadAI-B for Breast
乳房に対する CadAI-B の有効性を評価するためのマルチリーダー、マルチケースの後ろ向き研究
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
調査の概要
詳細な説明
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.
研究の種類
入学 (実際)
連絡先と場所
研究場所
-
-
-
Seoul、韓国、03722
- Yonsei University Severance Hospital
-
-
参加基準
適格基準
就学可能な年齢
健康ボランティアの受け入れ
受講資格のある性別
サンプリング方法
調査対象母集団
Mainly recruited from a tertiary hospital but no limitation of enrollment
説明
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
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 観測モデル：COHORT
- 時間の展望：RETROSPECTIVE
コホートと介入
グループ/コホート |
介入・治療 |
|---|---|
|
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. |
この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Area Under the LROC Curve
時間枠：6 weeks
|
Area Under the Localization Receiver Operating Characteristic (LROC) Curve |
6 weeks
|
二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
|
Lesion detection sensitivity and specificity
時間枠：6 weeks
|
The mean sensitivity and specificity of 15 readers were calculated and compared between the aided and unaided sessions. |
6 weeks
|
協力者と研究者
スポンサー
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (実際)
研究の完了 (実際)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。