Evidence map›Paper›PMID 34504208›Full record

ArticleScientific reports2021

Photodynamic therapy outcome modelling for patients with spinal metastases: a simulation-based study.

Abdul-Amir Yassine, William C Y Lo, Tina Saeidi, Dallis Ferguson, Cari M Whyne, Margarete K Akens, Vaughn Betz, Lothar Lilge

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 34% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Abdul-Amir Yassine *Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, M5S 3G8, Canada. abed.yassine@mail.utoronto.ca.
William C Y Lo *Harvard Medical School, Boston, MA, 02115, USA.
Tina SaeidiDepartment of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada.
Dallis FergusonInstitute of Biomedical Engineering, University of Toronto, Toronto, ON, M5S 3G9, Canada.
Cari M WhyneInstitute of Biomedical Engineering, University of Toronto, Toronto, ON, M5S 3G9, Canada.
Margarete K AkensDepartment of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada.
Vaughn BetzEdward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, M5S 3G8, Canada.
Lothar LilgeDepartment of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada.
University of Toronto · CASunnybrook Hospital · CAUniversity Health Network · CAHarvard University · US

Funding

CIHR
6 · The paper itself

Abstract

Spinal metastases often occur in the advanced stages of breast, lung or prostate cancer, resulting in a significant impact on the patient's quality of life. Current treatment modalities for spinal metastases include both systemic and localized treatments that aim to decrease pain, improve mobility and structural stability, and control tumour growth. With the development of non-toxic photosensitizer drugs, photodynamic therapy (PDT) has shown promise as a minimally invasive non-thermal alternative in oncology, including for spinal metastases. To apply PDT to spinal metastases, predictive algorithms that optimize tumour treatment and minimize the risk of spinal cord damage are needed to assess the feasibility of the treatment and encourage a broad acceptance of PDT in clinical trials. This work presents a framework for PDT modelling and planning, and simulates the feasibility of using a BPD-MA mediated PDT to treat bone metastases at two different wavelengths (690 nm and 565 nm). An open-source software for PDT planning, PDT-SPACE, is used to evaluate different configurations of light diffusers (cut-end and cylindrical) fibres with optimized power allocation in order to minimize the damage to spinal cord or maximize tumour destruction. The work is simulated on three CT images of metastatically involved vertebrae acquired from three patients with spinal metastases secondary to colorectal or lung cancer. Simulation results show that PDT at a 565 nm wavelength has the ability to treat 90% of the metastatic lesion with less than 17% damage to the spinal cord. However, the energy required, and hence treatment time, to achieve this outcome with the 565 nm is infeasible. The energy required and treatment time for the longer wavelength of 690 nm is feasible ([Formula: see text] min), but treatment aimed at 90% of the metastatic lesion would severely damage the proximal spinal cord. PDT-SPACE provides a simulation platform that can be used to optimize PDT delivery in the metastatic spine. While this work serves as a prospective methodology to analyze the feasibility of PDT for tumour ablation in the spine, preclinical studies in an animal model are ongoing to elucidate the spinal cord damage extent as a function of PDT dose, and the resulting short and long term functional impairments. These will be required before there can be any consideration of clinical trials.

Indexed as

PhotochemotherapyHumansNeoplasm MetastasisPhotosensitizing AgentsProspective StudiesQuality of LifeSpinal NeoplasmsSpineVerteporfinPhotosensitizing AgentsVerteporfin

Identifiers

PMID34504208
PMCPMC8429418
OpenAlexW3196298404

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.