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Clinical Imaging of Microwave Mammography

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Adapting mammography DRLs for improved usability.

Gillian Power¹, Paola Baldelli², Sarah Barry³

¹BreastCheck, National Cancer Screening Service, Merrion unit , Merrion Rd D04VP6, Dublin, Ireland.

Radiation Protection Dosimetry

|March 24, 2026

Summary

This summary is machine-generated.

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New diagnostic reference levels (DRLs) stratified by breast thickness and system type enable real-time dose auditing. This proactive approach optimizes patient protection by quickly identifying systems needing investigation.

Area of Science:

Medical Imaging Physics
Radiological Protection
Health Informatics

Background:

Diagnostic reference levels (DRLs) are crucial for optimizing radiation dose and ensuring patient safety in medical imaging.
Current DRLs often lack specificity regarding patient and equipment variations.
The need for real-time, actionable dose auditing tools is paramount.

Purpose of the Study:

To extend the concept of diagnostic reference levels (DRLs) by creating benchmarks.
To stratify these benchmarks by patient breast thickness and imaging system type.
To facilitate ongoing, real-time dose auditing for continuous improvement.

Main Methods:

Facility DRL data were compared with national DRLs.
The dataset was stratified into groups based on compressed breast thickness and system type.

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Last Updated: Mar 25, 2026

Clinical Imaging of Microwave Mammography

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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

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

Published on: September 11, 2011

Benchmarks were established at the 95th percentile for each specific category.

Main Results:

A Dose Management System was implemented for real-time data comparison.
Median dose values for individual systems were compared against tailored benchmarks.
The system facilitated ongoing, pertinent comparisons of dose data.

Conclusions:

Comparing system data to relevant benchmarks quickly identifies underperforming systems.
This method transforms dose auditing from a retrospective process to a proactive one.
It enhances the ability to pinpoint systems requiring investigation and optimization for improved patient protection.