Evidence map›Paper›PMID 40333542›Full record

ArticleMolecules (Basel, Switzerland)2025

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

Viacheslav Kubytskyi, Masroor Khonkhodzhaev, Aika Tanaka, Audrey Nguyen, Alexander Lazarev, Byron Aram, Keith Rogers, Lev Mourokh, Pavel Lazarev

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Viacheslav KubytskyiMatur UK Ltd., 5 New Street Square, London EC4A 3TW, UK.
Masroor KhonkhodzhaevMatur UK Ltd., 5 New Street Square, London EC4A 3TW, UK.
Aika TanakaEosDx, Inc., 1455 Adams Drive, Menlo Park, CA 94025, USA.
Audrey NguyenEosDx, Inc., 1455 Adams Drive, Menlo Park, CA 94025, USA.
Alexander LazarevEosDx, Inc., 1455 Adams Drive, Menlo Park, CA 94025, USA.
Byron AramEosDx, Inc., 1455 Adams Drive, Menlo Park, CA 94025, USA.
Keith RogersEosDx, Inc., 1455 Adams Drive, Menlo Park, CA 94025, USA.ORCID 0000-0003-0423-8940
Lev MourokhPhysics Department, Queens College, City University of New York, 65-30 Kissena Blvd, Flushing, NY 11367, USA.ORCID 0000-0003-4918-7251
Pavel LazarevMatur UK Ltd., 5 New Street Square, London EC4A 3TW, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Breast NeoplasmsPhantoms, ImagingX-Ray DiffractionBiomarkers, TumorFatty AcidsFemaleHumansMonte Carlo MethodBiomarkers, TumorFatty Acidscancer detectionlipid moleculesMonte Carlo simulationsstructural biomarkersX-ray scattering

Identifiers

PMID40333542
PMCPMC12029292

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.