Evidence map›Paper›PMID 36742351›Full record

ArticleJournal of biomedical optics2023

Cerebral tissue oxygenation response to brain irradiation measured during clinical radiotherapy.

Teemu Myllylä, Vesa Korhonen, Priya Karthikeyan, Ulriika Honka, Jesse Lohela, Kalle Inget, Hany Ferdinando, Sakari S Karhula, Juha Nikkinen

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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 at 2 institutions in 1 country.

Teemu MyllyläUniversity of Oulu, Research Unit of Health Sciences and Technology, Oulu, Finland.ORCID 0000-0003-3528-2186
Vesa KorhonenUniversity of Oulu, Research Unit of Health Sciences and Technology, Oulu, Finland.ORCID 0000-0001-9403-4583
Priya KarthikeyanUniversity of Oulu, Research Unit of Health Sciences and Technology, Oulu, Finland.
Ulriika HonkaUniversity of Oulu, Research Unit of Health Sciences and Technology, Oulu, Finland.
Jesse LohelaUniversity of Oulu, Research Unit of Health Sciences and Technology, Oulu, Finland.ORCID 0000-0003-2229-0160
Kalle IngetUniversity of Oulu, Research Unit of Health Sciences and Technology, Oulu, Finland.
Hany FerdinandoUniversity of Oulu, Research Unit of Health Sciences and Technology, Oulu, Finland.
Sakari S KarhulaUniversity of Oulu, Research Unit of Health Sciences and Technology, Oulu, Finland.ORCID 0000-0003-3401-4198
Juha NikkinenUniversity of Oulu, Research Unit of Health Sciences and Technology, Oulu, Finland.
University of Oulu · FIOulu University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Cancer therapy treatments produce extensive changes in the physiological and morphological properties of tissues, which are also individual dependent. Currently, a key challenge involves developing more tailored cancer therapy, and consequently, individual biological response measurement during therapy, such as tumor hypoxia, is of high interest. This is the first time human cerebral haemodynamics and cerebral tissue oxygenation index (TOI) changes were measured during the irradiation in clinical radiotherapy and functional near-infrared spectroscopy (fNIRS) technique was demonstrated as a feasible technique for clinical use in radiotherapy, based on 34 online patient measurements. Aim: Our aim is to develop predictive biomarkers and noninvasive real-time methods to establish the effect of radiotherapy during treatment as well as to optimize radiotherapy dose planning for individual patients. In particular, fNIRS-based technique could offer an effective and clinically feasible online technique for continuous monitoring of brain tissue hypoxia and responses to chemo- and radiotherapy, which involves modulating tumor oxygenation to increase or decrease tumor hypoxia. We aim to show that fNIRS is feasible for repeatability measuring in patient radiotherapy, the temporal alterations of tissue oxygenation induced by radiation. Approach: Fiber optics setup using multiwavelength fNIRS was built and combined with a medical linear accelerator to measure cerebral tissue oxygenation changes during the whole-brain radiotherapy treatment, where the radiation dose is given in whole brain area only preventing dosage to eyes. Correlation of temporal alterations in cerebral haemodynamics and TOI response to brain irradiation was quantified. Results: Online fNIRS patient measurement of cerebral haemodynamics during clinical brain radiotherapy is feasible in clinical environment, and results based on 34 patient measurements show strong temporal alterations in cerebral haemodynamics and decrease in TOI during brain irradiation and confirmed the repeatability. Our proof-of-concept study shows evidently that irradiation causes characteristic immediate changes in brain tissue oxygenation. Conclusions: In particular, TOI seems to be a sensitive parameter to observe the tissue effects of radiotherapy. Monitoring the real-time interactions between the subjected radiation dose and corresponding haemodynamic effects may provide important tool for the researchers and clinicians in the field of radiotherapy. Eventually, presented fNIRS technique could be used for improving dose planning and safety control for individual patients.

Indexed as

Hypoxia, BrainNeoplasmsBrainHumansOxygenSpectroscopy, Near-InfraredOxygenbrainfunctional near-infrared spectroscopyoncologyradiotherapytissue oxygenation

Identifiers

PMID36742351
PMCPMC9887167
OpenAlexW4318592267

What OpenQuestion holds

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LicenceCC BY
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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.