Lesion characterization using spectral mammography

TL;DR

This paper introduces a spectral mammography method for lesion characterization that distinguishes benign from malignant tissues without contrast agents, using statistical analysis and phantom testing.

Contribution

A new spectral imaging technique for lesion characterization in mammography that operates without contrast agents and utilizes a statistical framework for analysis.

Findings

Lesion size limit for reliable characterization is below 10 mm.

Phantom experiments validate the method's effectiveness.

Preliminary clinical results are promising but not conclusive.

Abstract

We present a novel method for characterizing mammographic findings using spectral imaging without the use of contrast agent. Within a statistical framework, suspicious findings are analyzed to determine if they are likely to be benign cystic lesions or malignant tissue. To evaluate the method, we have designed a phantom where combinations of different tissue types are realized by decomposition into the material bases aluminum and polyethylene. The results indicate that the lesion size limit for reliable characterization is below 10 mm diameter, when quantum noise is the only considered source of uncertainty. Furthermore, preliminary results using clinical images are encouraging, but allow no conclusions with significance.