# Quantitative Volumetric Analysis Using 3D Ultrasound Tomography for Breast Mass Characterization

**Authors:** Maria L. Anzola, David Alberico, Joyce Yip, James Wiskin, Bilal Malik, Raluca Dinu, Belinda Curpen, Michael L. Oelze, Gregory J. Czarnota

PMC · DOI: 10.3390/tomography11100111 · Tomography · 2025-09-30

## TL;DR

This study explores a new 3D ultrasound imaging method for detecting and characterizing breast masses as an alternative to traditional mammography.

## Contribution

The study introduces QT3D as a novel non-invasive imaging modality for breast mass characterization.

## Key findings

- QT3D can detect small tumors, multiple lesions, satellite lesions, intraductal extensions, and calcifications.
- The method offers diagnostic insights comparable to MRI for breast mass characterization.

## Abstract

Breast cancer detection remains a significant challenge, with traditional mammography presenting barriers such as discomfort, radiation exposure, high false-positive rates, and financial burden. Moreover, younger women frequently fall outside routine mammographic screening guidelines, leaving critical gaps in early detection. Objectives: This study investigates the potential of quantitative transmission breast acoustic computed tomography scanner imaging (QT3D) as an innovative, non-invasive imaging modality for characterizing and evaluating breast masses. Methods: A comparative analysis between QT3D imaging and magnetic resonance imaging (MRI) was conducted in a cohort of patients with biopsy-proven benign or malignant breast lesions, comparing key metrics in quantifying breast masses for the purposes of breast mass characterization. Results: The findings in this study highlight its capability in identifying relatively small tumors, multiple lesions, satellite lesions, intraductal extensions, and calcifications, in addition to offering valuable diagnostic insights. Conclusions: This work is a first step toward studies essential for confirming its clinical feasibility, establishing its role in breast cancer tumor characterization, and potentially improving patient outcomes.

## Linked entities

- **Diseases:** breast cancer (MONDO:0004989)

## Full-text entities

- **Diseases:** calcifications (MESH:D002114), Breast Mass (MESH:D061325), tumors (MESH:D009369), Breast cancer (MESH:D001943)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12568158/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC12568158/full.md

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Source: https://tomesphere.com/paper/PMC12568158