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Related Experiment Video

Updated: Apr 19, 2026

Clinical Imaging of Microwave Mammography

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Image quality standards in digital mammography: A consensus statement.

L Vandendaele¹, P J De Visschere², S Hendrickx²

¹Department of Public Health and Primary Care, Ghent University, Corneel Heymanslaan 10, 5K3, 9000 Ghent, Belgium.

Radiography (London, England : 1995)

|April 17, 2026

Summary

This summary is machine-generated.

This study developed a standardized mammogram quality checklist to reduce observer variability in screening programs. The tool ensures consistent interpretation of mammographic images for improved patient care.

Keywords:

Delphi method Digital mammography Image quality Screening Standards

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Last Updated: Apr 19, 2026

Clinical Imaging of Microwave Mammography

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

Area of Science:

Radiology
Medical Imaging
Quality Assurance

Background:

Mammogram image quality assessment faces challenges due to inter- and intra-observer variability.
This inconsistency impacts the reliability of quality assessments in screening programs.

Purpose of the Study:

To establish a standardized framework for describing mammogram image quality.
The goal is to reduce subjectivity and enhance observer consistency in quality assessments.

Main Methods:

A scoping literature review identified 19 initial image quality criteria.
A modified Delphi survey with 23 multidisciplinary experts refined these criteria.
Consensus was reached through expert ranking and focus group discussions.

Main Results:

Consensus was achieved on criteria including image identification, artifacts, uniformity, symmetry, contrast, radiation dose, and depiction of specific breast regions.
Areas requiring further guidelines include additional/alternative images, compression force descriptions, and retake criteria for folds/air projections.

Conclusions:

A checklist for mammogram image quality assessment was developed.
The study provides cut-off values for good, suboptimal, and insufficient quality.
A standardized tool is offered to improve mammographic image quality interpretation consistency in screening.