Evidence map›Paper›PMID 41159059›Full record

ArticleJournal of biomedical optics2025

Development and clinical validation of a clinically translatable non-chip-on-tip transvaginal imaging system (GynoSight v2.0) for early detection of premalignant cervical lesions.

Karthika Jeyachandran, Mohammed Ansar Pakirithodiyil, Keerthana Aruldoss, Milind Lal, Dhanush Koodi M, Arpitha Anantharaju, YuanYuan Sun, Rongguang Liang, Uttam M Pal

Abstract readValidation Study
In one paragraph

Article in Journal of biomedical optics, 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

9 authors.

Karthika JeyachandranIndian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Department of Sciences and Humanities, Chennai, Tamil Nadu, India.
Mohammed Ansar PakirithodiyilIndian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Department of Electronics and Communications, Chennai, Tamil Nadu, India.
Keerthana AruldossIndian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Department of Electronics and Communications, Chennai, Tamil Nadu, India.
Milind LalNational Institute of Engineering, Department of Mechanical Engineering, Mysore, Karnataka, India.
Dhanush Koodi MIndian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Department of Electronics and Communications, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0009-0001-6776-7957
Arpitha AnantharajuJawaharlal Institute of Postgraduate Medical Education and Research, Department of Gynecology and Obstetrics, Puducherry, India.ORCID https://orcid.org/0000-0002-5447-0257
YuanYuan SunThe University of Arizona, Wyant College of Optical Sciences, Tucson, Arizona, United States.
Rongguang LiangThe University of Arizona, Wyant College of Optical Sciences, Tucson, Arizona, United States.ORCID https://orcid.org/0000-0003-2792-3457
Uttam M PalIndian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Department of Electronics and Communications, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-3597-3043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Cervical cancer is the fourth most common cancer among women globally. Hence, it is crucial to develop a noninvasive and portable optical imaging modality for the early detection of premalignant cervical lesions. Aim: We present the development and clinical validation of GynoSight v2.0, an indigenously developed multispectral, non-chip-on-tip source, hand-held, portable transvaginal imaging probe, for evaluating tissue health and identifying anomalies, such as those linked to precancerous cervical lesions. Approach: GynoSight v2.0 houses a 16 LEDs, 5-megapixel camera, and a Raspberry Pi 5 module. A comparative shadowing effect analysis was performed between GynoSight v2.0 and colposcopy by evaluating statistical metrics such as mean pixel intensity (MPI), shadow area percentage (SAP), entropy, and contrast-to-noise ratio. In addition, the relative oxygen saturation maps of the cervical tissue were computed from the multispectral registered image using the proposed discrete Fourier transform-based image registration technique. Results: The images of Conclusions: The colposcopy images showed more shadowing effects than the GynoSight v2.0 images and hence provide better illumination to aid in better diagnosis.

Indexed as

Early Detection of CancerOptical ImagingPrecancerous ConditionsUterine Cervical NeoplasmsAdultCervix UteriColposcopyEquipment DesignFemaleHumansImage Processing, Computer-AssistedReproducibility of Resultsimage quality quantificationimage registrationmultispectral imagingnon-chip-on-tipoxygen saturationtransvaginal imaging probe

Identifiers

PMID41159059
PMCPMC12558412

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.