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

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Three-dimensional breast imaging using Artificial-Intelligence-Based Automatic Measurement System.

Shu Wang¹, Lei Ren², Jihua Liu²

¹The Department of Breast Oncoplastic Surgery, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education; Key Laboratory of Cancer Prevention and Treatment, Tianjin; Tianjin's Clinical Research Center for Cancer; The Sino-Russian Joint Research Center for Oncoplastic Breast Surgery, Tianjin, China.

|March 31, 2025

Summary

A new artificial intelligence (AI) system for 3D breast measurement demonstrated high accuracy and reproducibility. This AI tool significantly reduced measurement time, offering potential benefits for surgical management in breast reconstruction.

Keywords:

Artificial intelligence Breast measurement Breast reconstruction Three-dimensional breast imaging

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Area of Science:

Medical Imaging
Artificial Intelligence
Surgical Technology

Background:

Three-dimensional (3D) imaging is crucial for accurate breast measurement.
Exploration of advanced technologies like artificial intelligence (AI) is needed for breast measurement systems.

Purpose of the Study:

To evaluate a novel automatic breast measurement system utilizing AI.
To compare the accuracy and efficiency of AI-driven measurements against manual methods.

Main Methods:

A prospective controlled study involved 58 women undergoing breast reconstruction.
3D scanning was performed pre-surgery, with measurements taken by AI and manually by two doctors.
Key metrics included breast width, convexity, height, volume, and measurement time; consistency analyses were conducted.

Main Results:

AI and manual measurements showed excellent consistency for width, convexity, and volume in both left and right breasts.
Moderate to good consistency was observed for height measurements.
AI significantly reduced measurement time (40.65s) compared to manual methods (610.47s), with high accuracy and reproducibility.

Conclusions:

The AI-based 3D breast measurement system is accurate and reproducible.
This system substantially decreases measurement time, potentially aiding surgical planning and management.
AI offers a promising advancement in breast measurement technology for clinical applications.