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Updated: Jan 8, 2026

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

Digital screening mammograms: current status and future prospects.

Benjamin Hyams¹, Kathryn P Lowry^2,3, Karla Kerlikowske^4,5

¹School of Medicine, University of California, San Francisco, CA, USA.

Expert Review of Medical Devices

|December 24, 2025

Summary

This summary is machine-generated.

Emerging mammography technologies show promise in improving cancer detection rates. However, their impact on reducing interval and advanced cancers requires further research and real-world evaluation for patient benefit.

Keywords:

Breast cancer artificial intelligence contrast enhanced mammography digital breast tomosynthesis mammography screening

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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

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Published on: December 15, 2014

Area of Science:

Radiology and Medical Imaging
Oncology
Biomedical Engineering

Background:

Mammography is a vital breast cancer screening tool, but faces limitations like reduced sensitivity in dense breasts and overdiagnosis.
Emerging technologies aim to overcome these challenges and enhance screening efficacy.

Purpose of the Study:

To review emerging mammography technologies and their assessment endpoints.
To evaluate the clinical impact of digital breast tomosynthesis (DBT), contrast-enhanced mammography (CEM), and artificial intelligence (AI) in mammography.

Main Methods:

Review of clinical trial data for DBT, focusing on interval and advanced cancer rates.
Assessment of CEM as a supplemental screening tool for dense breasts.
Overview of AI applications in mammography for lesion detection, triage, density assessment, and risk prediction.

Main Results:

Emerging technologies show improved surrogate endpoints like cancer detection.
Evidence for reducing clinically meaningful outcomes (interval/advanced cancers) is still developing.
DBT performance varies between average-risk and high-risk populations.

Conclusions:

While new mammography technologies improve cancer detection, their effect on reducing interval and advanced cancers needs more robust evidence.
Future research must prioritize clinically relevant endpoints and real-world validation to ensure patient benefit.