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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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In the digital era, architectural distortion remains a challenging radiological task.

W I Suleiman1, M F McEntee1, S J Lewis1

  • 1Medical Image Optimisation and Perception Group (MIOPeG), and the Brain and Mind Research Institute, The Faculty of Health Sciences, The University of Sydney, Australia.

Clinical Radiology
|November 26, 2015
PubMed
Summary

Detecting architectural distortion (AD) in digital mammography remains challenging for radiologists. This study found significantly lower detection rates for AD compared to other breast cancer types, even with advanced technology.

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Area of Science:

  • Radiology and Medical Imaging
  • Breast Cancer Detection
  • Diagnostic Performance

Background:

  • Architectural distortion (AD) is a subtle mammographic finding that can indicate malignancy.
  • Early and accurate detection of AD is crucial for effective breast cancer management.
  • The performance of radiologists in detecting AD using digital mammography requires evaluation.

Purpose of the Study:

  • To compare the performance of experienced readers in detecting architectural distortion (AD) versus other breast cancer types on digital mammograms.
  • To assess the impact of digital mammography technology on AD detection accuracy.

Main Methods:

  • Forty-one experienced readers (US and Australian) evaluated 30 digital mammographic cases (20 abnormal, 10 normal).
  • Abnormal cases included 10 with AD and 10 with non-AD findings.
  • Performance metrics including sensitivity, location sensitivity, and ROC Az values were calculated and compared between AD and non-AD cases using statistical tests.

Main Results:

  • Readers demonstrated significantly lower location sensitivity for AD cases compared to non-AD cases (p=0.001).
  • Case-based analysis revealed significantly lower ROC Az values for AD compared to non-AD cases across reader groups (p=0.02 to p=0.008).
  • Lower sensitivity was observed for AD detection in specific reader groups and the combined group.

Conclusions:

  • Architectural distortion (AD) continues to be a difficult finding for radiologists to detect accurately on digital mammograms.
  • Despite advancements in digital mammography, AD detection remains a significant challenge in breast cancer screening.
  • Further research or improved training may be needed to enhance radiologist performance in identifying AD.