Evidence map›Paper›PMID 41786850›Full record

ArticleScientific reports2026

Robustness of interstitial photodynamic therapy treatment planning under power and positional uncertainties in light delivery.

Shuran Wang, Tina Saeidi, Lothar Lilge, Vaughn Betz

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Shuran WangEdward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Rd, Toronto, ON, M5S3G8, Canada. shuran.wang@mail.utoronto.ca.
Tina SaeidiDepartment of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON, M5G1L7, Canada.
Lothar LilgeDepartment of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON, M5G1L7, Canada.
Vaughn BetzEdward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Rd, Toronto, ON, M5S3G8, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While computer simulations can accurately model light dose delivery in interstitial photodynamic therapy (iPDT), predicting individual clinical outcomes remains difficult. In addition to biological uncertainties, inaccuracies in light delivery must be considered. Using simulations on virtual brain tumour (glioblastoma) models, we analyze two sources of uncertainty: light source power variations of [Formula: see text], [Formula: see text], and [Formula: see text], and positional deviations during source insertion, modelled as angular errors producing up to [Formula: see text] displacement. Simulated outcomes show minimal impact from power uncertainty, even at worst-case [Formula: see text]: the percent difference between maximum and minimum [Formula: see text] does not exceed [Formula: see text], with tumour coverage only dropping from the targeted [Formula: see text] to [Formula: see text]. Using a new power-uncertainty-aware option in the PDT-SPACE planning tool improves the worst-case minimum coverage from [Formula: see text] to [Formula: see text], eliminating the risk of under-treating. Position uncertainty was simulated by discretizing the space and randomizing source placements, showing a larger negative effect. Power re-optimization on measured post-insertion positions restores tumour coverage to [Formula: see text], while PDT-SPACE source-position optimization reduces average healthy tissue damage by [Formula: see text]. Combining both yields the most robust performance and minimizes sensitivity to positional deviations, thereby limiting light-delivery errors in iPDT.

Indexed as

Brain NeoplasmsGlioblastomaPhotochemotherapyComputer SimulationHumansLightPhotosensitizing AgentsUncertaintyPhotosensitizing AgentsLightOptimizationPhotodynamic therapySimulationUncertainty analysis

Identifiers

PMID41786850
PMCPMC13079899

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Registered trials

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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.