Evidence map›Paper›PMID 35038041›Full record

ArticleArchives of gynecology and obstetrics2022

The detection of cervical neoplasia via optical ımaging: a pilot clinical study.

Murat Canpolat, Özer Birge, Taner Danışman, Yiğit Ali Üncü, Deniz Karaçaylı, Uğur Bilge, Mehmet Sait Bakır, Mehmet Göksu, Ceyda Karadağ, Tayup Şimşek

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Article in Archives of gynecology and obstetrics, 2022. 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
0.3field-weighted citation impact, top 44% of its field
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, 2 citations in OpenAlex.

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

10 authors at 1 institution in 1 country.

Murat CanpolatBiomedical Optics Research Laboratory, School of Medicine, Department of Biophysics, Akdeniz University, Room F1-18, Konyaaltı, Antalya, 07070, Turkey. canpolat@akdeniz.edu.tr.ORCID 0000-0003-3298-9725
Özer BirgeDepartment of Gynecological Oncology Surgery, School of Medicine, Akdeniz University, Antalya, Turkey.
Taner DanışmanComputer Engineering Department, Faculty of Engineering, Akdeniz University, Antalya, Turkey.
Yiğit Ali ÜncüBiomedical Optics Research Laboratory, School of Medicine, Department of Biophysics, Akdeniz University, Room F1-18, Konyaaltı, Antalya, 07070, Turkey.
Deniz KaraçaylıBiomedical Optics Research Laboratory, School of Medicine, Department of Biophysics, Akdeniz University, Room F1-18, Konyaaltı, Antalya, 07070, Turkey.
Uğur BilgeDepartment of Biostatistics and Medical Informatics, School of Medicine, Akdeniz University, Antalya, Turkey.
Mehmet Sait BakırDepartment of Gynecological Oncology Surgery, School of Medicine, Akdeniz University, Antalya, Turkey.
Mehmet GöksuDepartment of Gynecological Oncology Surgery, School of Medicine, Akdeniz University, Antalya, Turkey.
Ceyda KaradağDepartment of Gynecological Oncology Surgery, School of Medicine, Akdeniz University, Antalya, Turkey.
Tayup ŞimşekDepartment of Gynecological Oncology Surgery, School of Medicine, Akdeniz University, Antalya, Turkey.
Akdeniz University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe present study aims to develop a new high-resolution imaging system for the early diagnosis of cervical neoplasia based on increased vessel density of the cervical tissue.

methodsAn optical device was developed to obtain high contrast and resolution images of vascular structures of the cervix in the present study. The device utilizes a telecentric lens to capture cervix images under light illumination with a wavelength of 550 nm emitted from LEDs. Images were obtained using the telecentric lens with or without acetic acid application to the cervix. Image processing algorithms were used to contrast and extract the skeleton of the vascular structures on the cervix. In the evaluation of the vascular density, the cervical images were divided into 12 o'clock positions, and the fractal dimension of the vascularity was calculated for each dial area between the o'clock positions. The region with the largest fractal dimension was accepted as the region with the highest probability of lesion. The range of vessel sizes was split into small classes of "bins" for each dial area with the highest fractal dimension. To validate the system's success in differentiating between normal and HSIL lesions, forty five patients who underwent colposcopy and biopsy were included in a pilot study.

resultsThe system correctly classified four HSIL cases out of five and failed to detect one HSIL case, achieving an accuracy rate of 97.8% with an 80% sensitivity and 100% specificity.

conclusionThe developed high-resolution optical imaging system may potentially be used in detecting cervical neoplasia just before the biopsy and reduce the number of false-positive cases.

Indexed as

Uterine Cervical DysplasiaUterine Cervical NeoplasmsBiopsyCervix UteriColposcopyFemaleHumansPilot ProjectsPregnancyCervical cancerCervical neoplasiaHistopathologyImage processingNaive BayesOptical ımaging

Identifiers

PMID35038041
OpenAlexW4206764860

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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.