Evidence map›Paper›PMID 41293697›Full record

ArticleBiomedical optics express2025

Non-contact optical sensing of vocal fold paralysis using speckle pattern analysis.

Doron Duadi, Omri Frige, Alon Tzroya, Nisan Ozana, Zeev Zalevsky, Adi Primov-Fever

Abstract read
In one paragraph

Article in Biomedical optics express, 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

6 authors.

Doron DuadiFaculty of Engineering and Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, 529002, Israel.ORCID https://orcid.org/0000-0003-3524-1907
Omri FrigeDepartment of Otolaryngology and Head and Neck Surgery, Sheba Medical Center and Gray Faculty of Medical and Health Sciences, Tel-Aviv University, Tel Aviv 6997801, Israel.
Alon TzroyaFaculty of Engineering and Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, 529002, Israel.
Nisan OzanaFaculty of Engineering and Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, 529002, Israel.
Zeev ZalevskyFaculty of Engineering and Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, 529002, Israel.
Adi Primov-FeverDepartment of Otolaryngology and Head and Neck Surgery, Sheba Medical Center and Gray Faculty of Medical and Health Sciences, Tel-Aviv University, Tel Aviv 6997801, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vocal fold paralysis (VFP) is characterized by impaired vocal fold movement, commonly resulting from nerve damage during surgical procedures. Current diagnostic methods rely on endoscopic examinations requiring specialized physicians, reducing accessibility and potentially delaying treatment. We propose a non-contact optical sensing method using speckle pattern analysis for VFP identification. Our approach uses external laser illumination and a camera that captures speckle patterns, providing a non-invasive and real-time assessment. The technique uses spectral analysis enhanced by sliding window scanning to extract amplitude peaks across vocal fold regions. Our clinical measurements on 10 subjects (3 healthy and 7 VFP patients) demonstrate identical bilateral voice frequencies, but amplitude varies significantly according to the paralysis side. Healthy subjects presented amplitude ratios close to 1, while VFP patients showed distinct asymmetric patterns: ratios below 0.5 for right-sided paralysis and above 2 for left-sided paralysis, enabling effective VFP detection and localization with potential for clinical implementation.

Identifiers

PMID41293697
PMCPMC12642985

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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.