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

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Iodine Map Radiomics in Breast Cancer: Prediction of Metastatic Status.

Lukas Lenga¹, Simon Bernatz¹, Simon S Martin¹

¹Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, 60590 Frankfurt, Germany.

|June 2, 2021

Summary

Dual-energy CT (DECT) iodine maps can predict breast cancer metastasis. Radiomic features from DECT scans reveal textural differences between primary tumors and metastases, aiding in staging.

Keywords:

breast cancer computed tomography dual-energy radiomics

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Area of Science:

Radiology
Oncology
Medical Imaging

Background:

Dual-energy CT (DECT) iodine maps quantify tissue vascularization.
Accurate breast cancer staging is crucial for treatment planning.
Identifying metastatic status non-invasively remains a clinical challenge.

Purpose of the Study:

To evaluate if radiomic features from staging DECT iodine maps can predict breast cancer metastatic status.
To investigate textural differences between primary breast cancers and metastases using DECT iodine maps.

Main Methods:

Retrospective analysis of 77 treatment-naïve breast cancer patients (41 non-metastatic, 36 metastatic).
Extraction of radiomic features (first-, second-, higher-order metrics, shape descriptors) from DECT iodine maps.
Classification using a multilayer perceptron artificial neural network (MLP-NN) with principal component analysis for dimensionality reduction.

Main Results:

MLP-NN achieved up to 0.94 AUC and 92.6% accuracy in predicting metastatic status (training set).
Validation dataset showed up to 82.6% accuracy for metastatic status prediction.
Distinguishing primary tumor from metastatic tissue yielded up to 0.87 AUC and 85.7% accuracy (validation set).

Conclusions:

DECT iodine map-based radiomic signatures show potential for predicting breast cancer metastatic status.
Microstructural differences between primary and metastatic breast cancer tissue are discernible via DECT radiomic features.