Evidence map›Paper›PMID 39991548›Full record

ArticleiScience2025

Rapid diffused optical imaging for accurate 3D estimation of subcutaneous tissue features.

Shanshan Cai, John Mai, Winn Hong, Scott E Fraser, Francesco Cutrale

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Shanshan CaiDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
John MaiAlfred E. Mann Institute for Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Winn HongAlfred E. Mann Institute for Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Scott E FraserDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Francesco CutraleDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional light imaging in living tissues is limited to depths under 100 μm by the significant tissue scattering. Consequently, few commercial imaging devices can image tissue lesions beneath the surface, or measure their invasion depth, critical in dermatology. We present 3D-multisite diffused optical imaging (3D-mDOI) an approach that combines photon migration techniques from diffuse optical tomography, with automated controls and image analysis techniques for estimating lesion's depth via its optical coefficients. 3D-mDOI is a non-invasive, low-cost, fast, and contact-free instrument capable of estimating subcutaneous tissue structures volumes through multisite-acquisition of re-emitted light diffusion on the sample surface. It offers rapid estimation of Breslow depth, essential for staging melanoma. To standardize the performance, 3D-mDOI employs customized calibrations using physical tissue phantoms, to explore the system's 3D reconstruction capabilities. We find that 3D-mDOI can reconstruct lesions up to 5 mm below the surface, requiring ∼300 s of computation time.

Indexed as

biophysicscell biologyoptical imaging

Identifiers

PMID39991548
PMCPMC11847144

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.