{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T03:48:51Z","timestamp":1790135331009,"version":"4.0.1"},"reference-count":40,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T00:00:00Z","timestamp":1770940800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Molecules"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/molecules31040650","type":"journal-article","created":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T10:52:21Z","timestamp":1770979941000},"page":"650","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["X-Ray Diffraction of Collagen-Structured Water Molecules for Cancer Detection"],"prefix":"10.3390","volume":"31","author":[{"given":"Sasha","family":"Murokh","sequence":"first","affiliation":[{"name":"Matur UK Ltd., 5 New Street Square, London EC4A 3TW, UK"},{"name":"Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, 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