Evidence map›Paper›PMID 40994684›Full record

ArticleJournal of biomedical optics2025

Prediction of the photodynamic therapy effect using digital breast phantoms from patients with breast cancer via Monte Carlo simulations.

Yugo Minegishi, Yasutomo Nomura

Abstract read
In one paragraph

Article in Journal of biomedical optics, 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

2 authors.

Yugo MinegishiMaebashi Institute of Technology, Graduate School of Engineering, Gunma, Japan.
Yasutomo NomuraMaebashi Institute of Technology, Graduate School of Engineering, Gunma, Japan.ORCID https://orcid.org/0000-0002-8257-3085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Photodynamic therapy (PDT) agents activated by near-infrared (NIR) light have demonstrated effectiveness in animal studies. However, clinical trials in humans are lacking due to biocompatibility concerns. We evaluate the feasibility of NIR-PDT using newly developed upconversion nanoparticles-quantum dots-Rose Bengal (UCQRs) through Monte Carlo simulations. Aim: Surgery, the primary treatment mode for breast cancer, often reduces the quality of life due to scarring, necessitating a less invasive alternative. Herein, we propose an NIR-PDT approach using UCQRs to treat patients with early-stage breast cancer. The treatment can be performed on patients in the prone position using light irradiation alone, significantly reducing the burden on patients. In NIR-PDT using UCQR, a treatment depth of 3 to 4 cm can be expected based on the penetration depth of the 808-nm excitation light. Approach: We created 150 digital breast phantoms by reconstructing breast slice images from breast computed tomography scans. These phantoms were classified by breast density and tumor depth, and simulations were performed on representative models. The therapeutic effect of NIR-PDT was assessed based on the amount of singlet oxygen generated, calculated from the fluence in the tumor voxels. Results: The simulations indicated that tumor depth had a greater impact on the therapeutic outcomes compared with breast contour or structure. In all phantoms where tumors with a 7-mm diameter were embedded at depths of 15 to 25 mm, the generated singlet oxygen exceeded the cell death threshold across all tumor voxels. Shallow tumors between 15 and 20 mm can be treated with 15 or fewer irradiations, whereas deep tumors between 20 and 25 mm are estimated to require up to 45 irradiations. Conclusions: This virtual clinical trial using 150 digital phantoms suggests that NIR-PDT with UCQRs offers a promising, minimally invasive alternative for treating breast cancer.

Indexed as

Breast NeoplasmsPhantoms, ImagingPhotochemotherapyBreastComputer SimulationFemaleHumansInfrared RaysMonte Carlo MethodNanoparticlesPhotosensitizing AgentsRose BengalPhotosensitizing AgentsRose Bengalbreast cancerdigital breast phantomMonte Carlo simulationnear-infraredphotodynamic therapyupconversion

Identifiers

PMID40994684
PMCPMC12456865

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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.