X-Ray Diffraction of Collagen-Structured Water Molecules for Cancer Detection

Structural biomarkers determined by X-ray scattering of the tissues can complement conventional histopathology and facilitate a fast triage procedure of cancer biopsy samples. It has been shown previously that lipid reflexes can distinguish cancerous from benign samples, except for fibroadenomas. In the present study, we demonstrate that fibroadenoma samples can be recognized using X-ray scattering of collagen. Moreover, we show that modifications in collagen structure are manifested in the water reflexes. Examination of diffraction patterns from water using two-dimensional Fourier transformation and machine learning yields excellent classification metrics in both synchrotron images and laboratory diffractometer data.

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Publication Details

Journal
Molecules
Published
2026-02-13
DOI
https://doi.org/10.3390/molecules31040650
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

X-Ray Diffraction of Collagen-Structured Water Molecules for Cancer Detection

Lev Mourokh, S. P. Denisov, Viacheslav Shcherbakov, Charlene Greenwood et al.
Molecules
Advanced X-ray Imaging Techniques
article

X-Ray Diffraction of Collagen-Structured Water Molecules for Cancer Detection

Lev Mourokh, S. P. Denisov, Viacheslav Shcherbakov, Charlene Greenwood, Keith D. Rogers, Lois Adams, Sasha Murokh, Oleksii Avdieiev, Ashkan Ajeer, Pavel Lazarev, Alexander Alekseev
article en

Abstract

Structural biomarkers determined by X-ray scattering of the tissues can complement conventional histopathology and facilitate a fast triage procedure of cancer biopsy samples. It has been shown previously that lipid reflexes can distinguish cancerous from benign samples, except for fibroadenomas. In the present study, we demonstrate that fibroadenoma samples can be recognized using X-ray scattering of collagen. Moreover, we show that modifications in collagen structure are manifested in the water reflexes. Examination of diffraction patterns from water using two-dimensional Fourier transformation and machine learning yields excellent classification metrics in both synchrotron images and laboratory diffractometer data.

MoleculesVol. 31(4)
Queens College, CUNY (US), Centre National de la Recherche Scientifique (FR), Rensselaer Polytechnic Institute (US), Université Paris-Saclay (FR), Karaganda Buketov University (KZ), Laboratoire de Chimie Physique (FR), Institut de Chimie (FR), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (FR), Eos Neuroscience (United States) (US), Keele University (GB), Cranfield University (GB)
Queen Mary University of London, National Institute for Health and Care Research, St George's University Hospitals NHS Foundation Trust, Barts Health NHS Trust
Clean water and sanitation
Openalex Percentile: Top 52%
Advanced X-ray Imaging Techniques
DOIOpen Access PDFOpenAlex
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X-Ray Diffraction of Collagen-Structured Water Molecules for Cancer Detection — Lev Mourokh, S. P. Denisov, et al. · Molecules (2026) | TGRS Research Map | TGRS