Evidence map›Paper›PMID 41015611›Full record

ReviewEye (London, England)2025

Assessing and monitoring abnormal retinal blood circulation for early detection of pre-structural damage and enhanced diabetic retinopathy staging using non-invasive, high-resolution biophotonic imaging technology.

Ali Basiri, Caesar Luo, Mohammad Shokoohi-Yekta, Theodore Leng, Hossein Taheri, Herke Jan Noordmans, Jacob Bryan, Mohammad Soheilypour, Payman Amiri, Christopher Or and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Eye (London, England), 2025. 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

13 authors.

Ali BasiriBioxytech Retina, Inc, Oakland, CA, USA.
Caesar LuoBioxytech Retina, Inc, Oakland, CA, USA.
Mohammad Shokoohi-YektaBioxytech Retina, Inc, Oakland, CA, USA.
Theodore LengByers Eye Institute at Stanford, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID http://orcid.org/0000-0002-8461-3562
Hossein TaheriBioxytech Retina, Inc, Oakland, CA, USA.
Herke Jan NoordmansUniversity Medical Center Utrecht, Utrecht, Netherlands.
Jacob BryanBioxytech Retina, Inc, Oakland, CA, USA.
Mohammad SoheilypourBioxytech Retina, Inc, Oakland, CA, USA.
Payman AmiriBioxytech Retina, Inc, Oakland, CA, USA.
Christopher OrByers Eye Institute at Stanford, Stanford University School of Medicine, Palo Alto, CA, USA.
Jia-Horung HungByers Eye Institute at Stanford, Stanford University School of Medicine, Palo Alto, CA, USA.
Ahmed Abou ElHassanBioxytech Retina, Inc, Oakland, CA, USA.
Quan Dong NguyenByers Eye Institute at Stanford, Stanford University School of Medicine, Palo Alto, CA, USA. ndquan@stanford.edu.ORCID http://orcid.org/0000-0002-6024-8441

Funding

Center for Hierarchical Manufacturing, National Science Foundation (Center for Hierarchical Manufacturing) 1853245Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) P30-EY026877National Science Foundation (NSF) 1853245
6 · The paper itself

Abstract

Biophotonic imaging technology offers a non-invasive solution for objectively and quantitatively staging diabetic retinopathy (DR) and detecting pre-DR before structural damage occurs. Integrating this technology into clinical practice enables more accurate staging, early risk management, and prediction of treatment outcomes, ultimately reducing DR-related structural damage. The platform featured a novel physics-based retinal oximetry algorithm, built on Saccadic-Phase Spatial Frequency Domain Imaging (SP-SFDI). This technology measured an oxygen saturation analogue (αSO

Indexed as

Diabetic RetinopathyRetinal VesselsAdultAgedAlgorithmsEarly DiagnosisFemaleHumansMaleMiddle AgedOximetryOxygen Saturation

Identifiers

PMID41015611
PMCPMC12583734

What OpenQuestion holds

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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.