Evidence map›Paper›PMID 39361106›Full record

ArticleJournal of medical ultrasonics (2001)2025

Clinical application of photoacoustic imaging for cervical precursor lesion detection.

Kiguna Sei Okawa, Shinpei Okawa, Hidenori Sasa, Miya Ishihara

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Article in Journal of medical ultrasonics (2001), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kiguna Sei OkawaDepartment of Obstetrics and Gynecology, Seirei Hamamatsu General Hospital, 2-1212 Sumiyoshi, Chuo-ku, Hamamatsu, Shizuoka, Japan. kiguna0309@gmail.com.ORCID http://orcid.org/0000-0001-7416-4305
Shinpei OkawaDepartment of Medical Engineering, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, Japan.
Hidenori SasaDepartment of Obstetrics and Gynecology, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, Japan.
Miya IshiharaDepartment of Medical Engineering, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, Japan.

Funding

Japan Society for the Promotion of Science 15K06125
6 · The paper itself

Abstract

purposeEarly diagnosis of a precursor lesion in the uterine cervix is an essential factor in uterine cervical cancer prevention. Although colposcopy is an established procedure for detecting high-risk patients, its accuracy and reproducibility are relatively low. Some supportive or alternative techniques to improve the early diagnosis of a precursor lesion have been studied, and correct diagnosis with high reliability using a minimally invasive, cost-effective technique has been pursued. This study aimed to examine the possibility of using photoacoustic (PA) imaging as a supportive technique to improve the accuracy of early diagnosis of cervical precursor lesions.

methodsA PA imaging system for microvessels was used to detect angiogenesis in severe lesions. A total of 21 patients who underwent surgical treatment and 114 outpatients who visited our colposcopy clinic were examined. A retrospective evaluation of PA images was performed as follows: (i) pathological assessment of the specific PA findings and (ii) retrospective evaluation of the severe lesion detection rate through PA.

resultsPA image evaluation and pathological findings showed dense angiogenesis in a severe precursor lesion appearing as a "hot spot" in the PA image. A comparison with colposcopy findings was performed for accuracy evaluation, and the detection rate of severe lesions using PA was relatively high (positive predictive value, 84.5%; negative predictive value, 82.1%).

conclusionOur results indicate the possibility of using PA imaging for early diagnosis of severe cervical precursor lesions. With its ability to yield quantitative information, PA imaging can improve ultrasound diagnosis.

Indexed as

Photoacoustic TechniquesUterine Cervical NeoplasmsAdultAgedCervix UteriColposcopyEarly Detection of CancerFemaleHumansMiddle AgedNeovascularization, PathologicReproducibility of ResultsRetrospective StudiesYoung AdultCervical cancerCervical dysplasiaColposcopyphotoacoustic imaging

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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.