Evidence map›Paper›PMID 35256649›Full record

ArticleScientific reports2022

Study on the application and imaging characteristics of optical coherence tomography in vulva lesions.

Lida Xu, Qian Ma, Shaochong Lin, Juan Ju, Shuo Feng, Zhongna Shi, Yang Bai, Junzhai Song, Junpeng Du, Baojin Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Evaluation of Skin Recovery after Fractional COSovremennye tekhnologii v meditsine · 2024
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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.

Lida Xu *Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Ovarian Malignancies, Zhengzhou, 450052, China.
Qian Ma *Department of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Ovarian Malignancies, Zhengzhou, 450052, China.
Shaochong LinDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Ovarian Malignancies, Zhengzhou, 450052, China.
Juan JuDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Ovarian Malignancies, Zhengzhou, 450052, China.
Shuo FengDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Ovarian Malignancies, Zhengzhou, 450052, China.
Zhongna ShiDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Ovarian Malignancies, Zhengzhou, 450052, China.
Yang BaiDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Ovarian Malignancies, Zhengzhou, 450052, China.
Junzhai SongDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Ovarian Malignancies, Zhengzhou, 450052, China.
Junpeng DuDepartment of Pediatric Surgery, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China. 164055336@qq.com.
Baojin WangDepartment of Gynecology, The Third Affiliated Hospital of Zhengzhou University, Henan International Joint Laboratory of Ovarian Malignancies, Zhengzhou, 450052, China. 307797362@qq.com.
Third Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a prospective study was conducted by using optical coherence tomography (OCT) in the in vivo detection of vulvar diseases. The clinical efficacy of the OCT we investigated in the detection of vulvar diseases, and the characteristics of the OCT images were defined. Overall, this study recruited 63 patients undergoing the colposcopy for vulvar lesions in three Chinese hospitals from December 20th, 2018 and September 24th, 2019. The colposcopy and the OCT examination were performed successively, and the OCT images were compared with the relevant tissue sections to characterize different lesions. The OCT diagnoses where categorized into 7 types, including normal and inflammatory vulva, condyloma acuminata, papilloma, lichen sclerosus, atrophic sclerosing lichen, fibrous epithelial polyp as well as cysts. The structural characteristics of the vulva tissue can be clearly observed in the OCT image, which are consistent with the characteristics of the tissue section. Compared with the pathological results, the sensitivity, specificity and accuracy of the OCT examination reached 83.82% (95% confidence interval, CI 72.5%-91.3%), 57.89% (95% CI 34.0%-78.9%) and 78.16%, respectively. The OCT is found with the advantages of being noninvasive, real-time and sensitive and with high resolution. It is of high significance to screening vulva diseases, and it is expected as one of the methods to clinically diagnose vulva diseases.

Indexed as

Tomography, Optical CoherenceVulvar DiseasesColposcopyFemaleHumansPregnancyProspective StudiesVulva

Identifiers

PMID35256649
PMCPMC8901679
OpenAlexW4220711434

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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.