Evidence map›Paper›PMID 42689265›Full record

ArticleJournal of biomedical optics2026

Single-fiber reflectance spectroscopy system using unmodified clinical laser fibers for tissue optical property recovery for photodynamic therapy treatment planning.

Md Nafiz Hannan, Timothy M Baran

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2026. 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.

Md Nafiz HannanUniversity of Rochester, Department of Physics and Astronomy, Rochester, New York, United States.ORCID https://orcid.org/0009-0003-6771-4753
Timothy M BaranDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, New York, United States.ORCID https://orcid.org/0000-0002-4476-5609

Funding

Optical property measurement in human abscess cavities for photodynamic therapy treatment planningR01EB029921 · NIBIB · UNIVERSITY OF ROCHESTER · PI BARAN, TIMOTHY M · 2020 to 2023
$827k
NIBIB NIH HHS R01 EB029921
6 · The paper itself

Abstract

Significance: Estimation of tissue optical properties in workflow- and resource-constrained clinical settings is required to support photodynamic therapy (PDT) treatment planning, yet large-scale clinical translation remains limited by spectroscopy probe cost, complexity, and the need for probe-specific inverse models. Single-fiber reflectance (SFR) spectroscopy offers a simple and low-cost option, but previous implementations relied on customized angle-polished fibers. Aim: The objective was to develop a proof-of-concept SFR spectroscopy system employing an unmodified, United States Food and Drug Administration (FDA)-approved clinical optical fiber for quantitative optical property extraction. Approach: A semi-empirical photon pathlength model was used to recover the absorption spectra Results: Optical property retrieval from measurements acquired using three nominally identical fibers demonstrated clinically sufficient accuracy across fibers without requiring model adaptation. Across all fibers, MB concentration Conclusions: We demonstrate the potential of SFR spectroscopy using a standard clinical optical fiber as a scalable and clinically useful tool for tissue optical property estimation to support PDT treatment planning.

Indexed as

Fiber Optic TechnologyOptical FibersPhotochemotherapySpectrum AnalysisEquipment DesignHumansLasersMethylene BluePhantoms, ImagingMethylene Blueclinical optical fiberinverse problemMonte Carlo simulationoptical property estimationphotodynamic therapysingle-fiber reflectance spectroscopy

Identifiers

PMID42689265
PMCPMC13537727

What OpenQuestion holds

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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.