Evidence map›Paper›PMID 30297721›Full record

ArticleScientific reports2018

Visualising peripheral arterioles and venules through high-resolution and large-area photoacoustic imaging.

Yoshiaki Matsumoto, Yasufumi Asao, Hiroyuki Sekiguchi, Aya Yoshikawa, Tomoko Ishii, Ken-Ichi Nagae, Shuichi Kobayashi, Itaru Tsuge, Susumu Saito, Masahiro Takada and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

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  15. Review
  16. Advances in Photoacoustic Imaging of Breast Cancer.Sensors (Basel, Switzerland) · 2025
    Review
  17. Article
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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

19 authors.

Yoshiaki MatsumotoDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0002-4256-2349
Yasufumi AsaoDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiroyuki SekiguchiDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Aya YoshikawaDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tomoko IshiiDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Ken-Ichi NagaeMedical Imaging Development Center, Canon Inc., Kyoto, Japan.
Shuichi KobayashiMedical Imaging Development Center, Canon Inc., Kyoto, Japan.
Itaru TsugeDepartment of Plastic and Reconstructive Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Susumu SaitoDepartment of Plastic and Reconstructive Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masahiro TakadaDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yoshihiro IshidaDepartment of Dermatology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0002-6210-5903
Masako KataokaDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takaki SakuraiDepartment of Diagnostic Pathology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takayuki YagiJapan Science and Technology Agency, ImPACT Program, Cabinet Office, Kyoto, Japan.
Kenji KabashimaDepartment of Dermatology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Shigehiko SuzukiDepartment of Plastic and Reconstructive Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kaori TogashiDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tsuyoshi ShiinaDepartment of Human Health Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masakazu ToiDepartment of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan. toi@kuhp.kyoto-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic (PA) imaging (PAI) has been shown to be a promising tool for non-invasive blood vessel imaging. A PAI system comprising a hemispherical detector array (HDA) has been reported previously as a method providing high morphological reproducibility. However, further improvements in diagnostic capability will require improving the image quality of PAI and fusing functional and morphological imaging. Our newly developed PAI system prototype not only enhances the PA image resolution but also acquires ultrasonic (US) B-mode images at continuous positions in the same coordinate axes. In addition, the pulse-to-pulse alternating laser irradiation shortens the measurement time difference between two wavelengths. We scanned extremities and breasts in an imaging region 140 mm in diameter and obtained 3D-PA images of fine blood vessels, including arterioles and venules. We could estimate whether a vessel was an artery or a vein by using the S-factor obtained from the PA images at two wavelengths, which corresponds approximately to the haemoglobin oxygen saturation. Furthermore, we observed tumour-related blood vessels around breast tumours with unprecedented resolution. In the future, clinical studies with our new PAI system will help to elucidate various mechanisms of vascular-associated diseases and events.

Indexed as

AlgorithmsArteriolesEquipment DesignFemaleHumansPhotoacoustic TechniquesTomographyVenules

Identifiers

PMID30297721
PMCPMC6175891

What OpenQuestion holds

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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.