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조영증강 유방촬영술: 현재의 임상적 활용과 미래 방향에 대한 종합적 고찰.

Rupa Renganathan1, Suganya Palanisamy1, Divya Vishwanatha Kini1

  • 1Division of Breast and Women's Imaging, Department of Diagnostic and Interventional Radiology, Kovai Medical Center and Hospitals Limited, Coimbatore, India.

Journal of the Korean Society of Radiology
|December 19, 2025
PubMed
Summary
This summary is machine-generated.

Contrast-enhanced mammography (CEM) offers sensitive breast cancer detection, especially in dense breasts, by combining imaging and contrast agents. This valuable tool shows promise for screening and diagnosis despite some limitations.

Keywords:
ArtifactsClinical ApplicationsContrast Enhanced MammographyRecombined ImagesTechnique

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Contrast-enhanced mammography (CEM) integrates morphological and functional data for improved breast cancer detection.
  • It utilizes dual-energy X-rays and iodinated contrast agents to highlight malignant abnormalities, particularly in dense breast tissue.

Purpose of the Study:

  • To provide a comprehensive review of contrast-enhanced mammography (CEM).
  • To discuss its clinical applications, advantages, limitations, and future directions in breast cancer management.

Main Methods:

  • The review synthesizes current literature on CEM.
  • It examines the technique's principles, diagnostic performance, and emerging applications like radiomics and AI.

Main Results:

  • CEM demonstrates high sensitivity for malignancy detection, comparable to MRI.
  • Advantages include rapid acquisition and cost-effectiveness for screening, diagnosis, staging, and chemotherapy monitoring.
  • Emerging AI and radiomics applications may enhance lesion characterization and subtype prediction.

Conclusions:

  • CEM is a clinically relevant and cost-effective imaging tool for breast cancer.
  • Despite limitations such as radiation exposure and biopsy challenges, its value in clinical practice is increasing.
  • Future integration of AI and radiomics holds significant potential for advancing CEM's capabilities.