Evidence map›Paper›PMID 41394489›Full record

ArticleBiomedical optics express2025

Towards accurate penetration depth estimation in near-infrared spectroscopy: a quantitative analysis of source-detector distance dependence in porcine kidney models.

Arshdeep Singh Khurana, Alireza Khodavandi, Iman Amani Tehrani, Babak Shadgan

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Arshdeep Singh KhuranaSchool of Biomedical Engineering, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0002-8490-0107
Alireza KhodavandiInternational Collaboration on Repair Discoveries, Vancouver, Canada.
Iman Amani TehraniSchool of Biomedical Engineering, University of British Columbia, Vancouver, Canada.
Babak ShadganSchool of Biomedical Engineering, University of British Columbia, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the depth of penetration of near-infrared (NIR) light in biological tissue is critical for enhancing clinical applications of near-infrared spectroscopy (NIRS). The current knowledge of NIRS penetration depth primarily stems from mathematical models, numerical simulations, and phantom studies, with a notable knowledge gap derived from real animal models. By sequentially obstructing light from traversing in a porcine kidney tissue model, we derived the depth distribution of NIR light experimentally and better characterized its dependence on the distance between the light source and photodetector. We collected four replicates of data from six different source-detector distances (SDSs) and found that both the maximum and mean depths of penetration of NIRS increase with the SDS. Linear relationships can be derived between the SDS and the maximum depth, and the square root of the SDS and the mean depth.

Identifiers

PMID41394489
PMCPMC12698102

What OpenQuestion holds

Textmetadata
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.