Evidence map›Paper›PMID 42574619›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Anatomy-resolved digital twin framework for personalized light dosimetry in lung therapies.

Johan Sebastián Diaz Tovar, Flavio Pola Dos Reis, Lilian Tan Moriyama, Paulo Manuel Pêgo-Fernandes, Cesar Higa Nomura, Vladislav Yakovlev, Vanderlei Salvador Bagnato, Alexander Doronin, Cristina Kurachi

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. 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

9 authors.

Johan Sebastián Diaz TovarPhysics and Materials Science Department, São Carlos Institute of Physics, University of São Paulo, São Carlos 13566-590, SP, Brazil.
Flavio Pola Dos ReisDepartment of Thoracic Surgery, Lung Transplant Group, Instituto do Coração, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-900, SP, Brazil.
Lilian Tan MoriyamaPhysics and Materials Science Department, São Carlos Institute of Physics, University of São Paulo, São Carlos 13566-590, SP, Brazil.
Paulo Manuel Pêgo-FernandesDepartment of Thoracic Surgery, Instituto do Coração, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-900, SP, Brazil.
Cesar Higa NomuraDepartment of Radiology, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05403-010, SP, Brazil.
Vladislav YakovlevDepartment of Biomedical Engineering, Texas Agriculture & Mechanical University, College Station 77843, TX.
Vanderlei Salvador BagnatoPhysics and Materials Science Department, São Carlos Institute of Physics, University of São Paulo, São Carlos 13566-590, SP, Brazil.ORCID 0000-0003-4833-239X
Alexander DoroninComputer Science Division, School of Engineering and Computer Science, Victoria University of Wellington, Wellington 6140, New Zealand.
Cristina KurachiPhysics and Materials Science Department, São Carlos Institute of Physics, University of São Paulo, São Carlos 13566-590, SP, Brazil.ORCID 0000-0001-7175-5337

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 305176/2021-8Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 408468/2024-6Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) 88887.602983/2021-00Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) 88887.834559/2023-00Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2013/07276-1Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2025/26804-6
6 · The paper itself

Abstract

Light therapies, such as photobiomodulation and photodynamic therapy, have demonstrated effective therapeutical response. However, external irradiation and targeting internal organs is challenging due to high light attenuation and the interindividual anatomical variability, strongly affecting light dosimetry. When considering lung diseases, such as pneumonia and inflammatory conditions, light dosimetry using transcutaneous delivery must consider the total light path from skin coupling through thoracic tissues to the fluence rate reaching the lungs. We here present a computational model based on Monte Carlo simulation developed in house to determine the light dosimetry in the lungs for different wavelengths in normal and diseased lungs. The simulation uses the actual anatomical models derived from human CT scans to generate 3D representations of the thoracic cavity, including 12 distinct tissue types. The lungs were segmented into normal, collapsed regions, infiltrate, and blood vessels. Wavelength-dependent absorption and scattering coefficients for each tissue type were estimated by the reported data in the literature. Our analysis focused on normalized energy deposition profiles defined as µ

Indexed as

LungRadiometryComputer SimulationCOVID-19HumansMonte Carlo MethodTomography, X-Ray Computedindividualized dosimetrylight therapieslung diseasesMonte Carlovoxelization

Identifiers

PMID42574619
PMCPMC13486563

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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.