Evidence map›Paper›PMID 38864093›Full record

ArticleJournal of biomedical optics2024

Tutorial on methods for estimation of optical absorption and scattering properties of tissue.

Ran Tao, Janek Gröhl, Lina Hacker, Antonio Pifferi, Darren Roblyer, Sarah E Bohndiek

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Ran TaoUniversity of Cambridge, Department of Physics, Cambridge, United Kingdom.ORCID 0009-0000-1217-1219
Janek GröhlUniversity of Cambridge, Department of Physics, Cambridge, United Kingdom.ORCID 0000-0002-5332-4856
Lina HackerUniversity of Oxford, Department of Oncology, Oxford, United Kingdom.ORCID 0000-0001-5160-0952
Antonio PifferiPolitecnico di Milano, Department of Physics, Milano, Italy.ORCID 0000-0002-2261-2089
Darren RoblyerBoston University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States.ORCID 0000-0002-5301-4364
Sarah E BohndiekUniversity of Cambridge, Department of Physics, Cambridge, United Kingdom.ORCID 0000-0003-0371-8635

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: The estimation of tissue optical properties using diffuse optics has found a range of applications in disease detection, therapy monitoring, and general health care. Biomarkers derived from the estimated optical absorption and scattering coefficients can reflect the underlying progression of many biological processes in tissues. Aim: Complex light-tissue interactions make it challenging to disentangle the absorption and scattering coefficients, so dedicated measurement systems are required. We aim to help readers understand the measurement principles and practical considerations needed when choosing between different estimation methods based on diffuse optics. Approach: The estimation methods can be categorized as: steady state, time domain, time frequency domain (FD), spatial domain, and spatial FD. The experimental measurements are coupled with models of light-tissue interactions, which enable inverse solutions for the absorption and scattering coefficients from the measured tissue reflectance and/or transmittance. Results: The estimation of tissue optical properties has been applied to characterize a variety of Conclusion: Optical absorption and scattering property estimation is an increasingly important and accessible approach for medical diagnosis and health monitoring.

Indexed as

Phantoms, ImagingScattering, RadiationAbsorption, RadiationAlgorithmsAnimalsHumansLightOptical Imagingdiffuse opticsopticsphotonicstissue optical propertiestissue optics

Identifiers

PMID38864093
PMCPMC11166171

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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.