Evidence map›Paper›PMID 41577904›Full record

ArticleAdvances in experimental medicine and biology2026

Dependence of Reflectance on Optical Properties at Short Distance (Part A: Adaptation of Monte Carlo Simulations).

Letizia Lanini, Djazia Yacheur, Tong Li, Alexander Kalyanov, Meret Ackermann, Emanuele Russomanno, Aldo Di Costanzo Mata, Martin Wolf, Jingjing Jiang

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Article in Advances in experimental medicine and biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

9 authors.

Letizia LaniniBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland. laninil@student.ethz.ch.
Djazia YacheurBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
Tong LiBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
Alexander KalyanovBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
Meret AckermannBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
Emanuele RussomannoBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
Aldo Di Costanzo MataBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
Martin WolfBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.
Jingjing JiangBiomedical Optics Research Laboratory (BORL), Department of Neonatology, University Hospital Zurich and University of Zurich, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate description of light propagation in tissue is a primary requirement in most optical imaging techniques, and enables to quantify for example the oxygen saturation. The Monte Carlo (MC) method, employing Henyey-Greenstein (HG) phase function, is a classical numerical approach to simulate the path of photons in tissue. However, it loses accuracy when describing short light propagation distances (<10 mm), where scattering is anisotropic. The aim of this work was to develop and test different approaches to mitigate this deficiency, employing the modified Henyey-Greenstein (MHG) and Gegenbauer (GB) phase functions. The updated scattering angle probability was implemented in the MC toolbox MCXLAB, written in CUDA and callable in MATLAB. Simulations were performed at source-detector distances from 1.5 to 5 mm, to test the behavior of the new solutions. We observed higher adaptability of the simulated curve due to employing MHG and GB phase functions compared to the conventional HG, due to the presence of the additional γ parameter in the equation that enables to adjust for the anisotropy.

Indexed as

Computer SimulationMonte Carlo MethodOptical ImagingAlgorithmsAnisotropyLightPhotonsScattering, RadiationBackward scatteringGegenbauerModified Henyey-GreensteinPhase functionPhoton transport modeling

Identifiers

PMID41577904

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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.