Evidence map›Paper›PMID 30603200›Full record

ReviewBiomedical engineering letters2018

Development and clinical translation of photoacoustic mammography.

Tsuyoshi Shiina, Masakazu Toi, Takayuki Yagi

Abstract readReview
In one paragraph

Review in Biomedical engineering letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  4. Advances in Photoacoustic Imaging of Breast Cancer.Sensors (Basel, Switzerland) · 2025
    Review
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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

3 authors.

Tsuyoshi Shiina1Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507 Japan.
Masakazu Toi2Department of Breast Surgery, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507 Japan.
Takayuki Yagi3Japan Science and Technology Agency, ImPACT Program, Cabinet Office, K's Gobancho, 7, Gobancho, Chiyoda-ku, Tokyo, 102-0076 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To practically apply photoacoustic (PA) imaging technology in medicine, we have developed prototypes of a photoacoustic mammography (PAM) device to acquire images for diagnosing breast cancer in the Kyoto University/Canon joint research project (CK project supported by MEXT, Japan). First, the basic ability of the PAM system to visualize the network of blood vessels and the Hb saturation index was evaluated using a prototype of PAM that has a flat scanning detector and is capable of simultaneously acquiring photoacoustic (PA) and ultrasound images. Next, another prototype of a PAM device with hemispherical sensors was developed to improve the visibility of the 3D structure of vessels by reducing the limited view effect. In clinical examination of breast cancer cases, the PAM system allowed 3D visualization of fine vessel networks with a spatial resolution of a half-millimeter and enabled us to determine the features of tumor-related vascular structures in human breast cancer. In addition, the oxygen saturation status of Hb was visualized using two different wavelengths, enabling more precise characterization of the tumor microenvironment. Results of clinical evaluation using our developed prototype of a PAM device confirmed that PA imaging technology has the potential to promote early detection of breast cancer, and realization of its practical use is expected in the near future.

Indexed as

MammographyOptoacousticOxygen saturationPhotoacoustic imagingUltrasoundVascularity

Identifiers

PMID30603200
PMCPMC6208520

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.