SCREENING MAMMOGRAPHY: DIAGNOSTIC EFFICACY-ISSUES AND CONSIDERATIONS FOR THE 2020S

Area of Science:

• Medical Imaging
• Radiology
• Oncology

Background:

• Radiologist performance is critical for diagnostic efficacy in medical imaging.
• Factors influencing mammographic performance include patient characteristics (breast size/density) and machine limitations.
• Human reader errors, stemming from experience and cognitive factors, also impact diagnostic accuracy.

Purpose of the Study:

• To explore factors influencing mammographic performance.
• To identify causes of diagnostic errors in mammography.
• To review potential solutions for improving mammography detection efficacy.

Main Methods:

• This study is a narrative review.
• It synthesizes existing literature on factors affecting mammographic performance.
• It discusses potential amelioration strategies for diagnostic errors.

Main Results:

• Diagnostic accuracy in mammography is multifactorial, involving patient, machine, and human reader elements.
• Reader experience and cognitive factors significantly contribute to diagnostic errors.
• Even minor improvements in diagnostic performance can lead to substantial increases in lives saved.

Conclusions:

• Addressing patient, machine, and human factors is essential for enhancing mammographic performance.
• Identifying and mitigating reader errors can significantly improve breast cancer detection rates.
• Further research into optimizing radiologist performance is crucial for large-scale screening programs.