# Toward In Vivo Cancer Detection: X-Ray Scattering on Thick Phantom Samples

## TL;DR

This paper explores using X-ray scattering on thick phantom samples to detect breast cancer biomarkers, aiming for in vivo diagnostics.

## Contribution

The study extends X-ray scattering cancer detection from small ex vivo to thick phantom samples, enabling in vivo applications.

## Key findings

- X-ray scattering patterns show characteristic features for inter-fatty-acid molecular distance in thick phantom samples.
- Features remain visible up to 10 cm thickness despite peak broadening.
- Experimental data align well with Monte Carlo simulations based on small sample form factors.

## Abstract

As the number of new breast cancer cases grows around the world, there is an unmet need for fast, accurate, and low-cost methods of early cancer detection. It was previously shown that X-ray scattering on lipid molecules can provide the necessary structural biomarker. However, these measurements were performed on small ex vivo samples, and to ensure the progress to in vivo diagnostics, the approach should be extended to larger tissues. We use the phantom fat samples to establish such a procedure. In the obtained X-ray scattering patterns, we observe the characteristic features for the inter-fatty-acid molecular distance. The large size of the samples led to the peak broadening; however, the features remain visible up to 10 cm in thickness. The experimental data are in excellent agreement with the Monte Carlo simulations based on the form factors obtained from the small samples. Our results usher the way for the in vivo monitoring of the structural biomarkers of breast cancer.