Reproducibility of Breast Density and Background Parenchymal Enhancement Grading on Contrast-Enhanced Mammography With AI Support: A Retrospective Single-Centre Study (BD/BPE_CEM)
Beyond Cancer Detection: An AI Framework for Multidimensional Risk Profiling on Contrast-Enhanced Mammography Acronym: AI-CEM-RISK
Retrospective single-centre observational study in women who underwent contrast-enhanced mammography (CEM). It assesses the reproducibility of breast density (BD) and background parenchymal enhancement (BPE) grading by five radiologists with and without AI support, develops linear regression and deep neural network (DNN) models to predict BD and BPE, tests BD prediction on an external public dataset, and explores a multi-output DNN as a proof of concept for proxy estimates of bone mineral density and systolic blood pressure. This is a secondary analysis of the cohort also described in NCT06838117 and NCT06838130.
연구 개요
상태
상세 설명
Women referred for diagnostic CEM at the Interventional Breast Unit of P.O. "A. Perrino", Brindisi, were analyzed. Five breast radiologists independently graded BD (BI-RADS A-D) and BPE (minimal to marked) and consensus served as ground truth. Linear regression and a DNN were compared with a simple linear baseline. Inter-reader agreement was measured with Fleiss' kappa. The external validation used 500 BI-RADS C/D cases from VinDr-Mammo and was restricted to density endpoints. The multi-output analysis was hypothesis-generating; bone density and blood pressure outputs are proxy estimates, not measured values.
연구 유형
등록 (실제)
연락처 및 위치
연구 장소
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Brindisi, 이탈리아, 72100
- Perrino Hospital
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참여기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
From 314 women who underwent CEM between January 2022 and December 2023 at P.O. "A. Perrino", Brindisi, 213 met the eligibility criteria.
설명
Inclusion Criteria: women aged 28-80 years referred for CEM for diagnostic work-up; histopathology available for BI-RADS 4/5 findings; inclusion not restricted to malignant cases.
Exclusion Criteria: previous history of malignancy; breast biopsy within three weeks before imaging; contraindications to iodinated contrast medium; incomplete imaging records.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 관찰 모델: COHORT
- 시간 관점: RETROSPECTIVE
코호트 및 개입
그룹/코호트 |
개입 / 치료 |
|---|---|
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Women undergoing CEM for diagnostic work-up
Women aged 28-80 years referred for CEM at the Interventional Breast Unit, P.O. "A. Perrino", Brindisi. Histopathology was available for BI-RADS 4/5 findings. |
Diagnostic Test: contrast-enhanced mammography (Senographe Pristina, GE Healthcare), performed as routine care. Other: AI-assisted grading of breast density and BPE (linear regression and deep neural network). |
연구는 무엇을 측정합니까?
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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Inter-reader agreement for breast density and BPE grading, without and with AI support
기간: Retrospective reading sessions on examinations performed between January 2022 and December 2023
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Fleiss' kappa among five radiologists for BD and for BPE, baseline versus AI-assisted reading. |
Retrospective reading sessions on examinations performed between January 2022 and December 2023
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2차 결과 측정
결과 측정 |
기간 |
|---|---|
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Prediction error (mean squared error) of linear regression and DNN versus a simple linear baseline, for BD and BPE
기간: Retrospective reading sessions on examinations performed between January 2022 and December 2023
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Retrospective reading sessions on examinations performed between January 2022 and December 2023
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Classification performance (AUC, precision, recall, F1-score) of the models
기간: Retrospective reading sessions on examinations performed between January 2022 and December 2023
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Retrospective reading sessions on examinations performed between January 2022 and December 2023
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External validation on 500 VinDr-Mammo BI-RADS C/D cases: MSE, R² and AUC for breast density
기간: Retrospective reading sessions on examinations performed between January 2022 and December 2023
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Retrospective reading sessions on examinations performed between January 2022 and December 2023
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공동 작업자 및 조사자
수사관
- 연구 의자: Gianluca Gatta, medicine and surgery, University of Campania Luigi Vanvitelli
- 수석 연구원: Graziella Di Grezia, medicine and surgery, Link Campus University
간행물 및 유용한 링크
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
기본 완료 (실제)
연구 완료 (실제)
연구 등록 날짜
최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
기타 연구 ID 번호
- T_3_2025
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
IPD 계획 설명
Data are available upon request from the corresponding author
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
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