Evidence map›Paper›PMID 40065760›Full record

ArticleScience and technology of advanced materials2025

Ziyu Zhao, Ayaka Otsuka, Noriko Nakamura, Toshifumi Tatsumi, Kazuhiro Nakatsui, Taiki Tsuzukiishi, Tomo Sakanoue, Kenji Shimazoe, Seiichi Ohta

Abstract read
In one paragraph

Article in Science and technology of advanced materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Radiolabeled AgScientific reports · 2026
    Article
  2. Review
  3. Review
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  5. Article
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

9 authors.

Ziyu ZhaoDepartment of Bioengineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Ayaka OtsukaDepartment of Bioengineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Noriko NakamuraDepartment of Bioengineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Toshifumi TatsumiIsotope Science Center, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Kazuhiro NakatsuiNippon Chemical Industrial Co., Ltd., Koto-Ku, Tokyo, Japan.
Taiki TsuzukiishiNippon Chemical Industrial Co., Ltd., Koto-Ku, Tokyo, Japan.
Tomo SakanoueNippon Chemical Industrial Co., Ltd., Koto-Ku, Tokyo, Japan.
Kenji ShimazoeDepartment of Bioengineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Seiichi OhtaDepartment of Bioengineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4775-8199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Positron emission tomography (PET)/fluorescence dual-modal imaging combines deep penetration and high resolution, making it a promising approach for tumor diagnostics. Semiconductor nanocrystals, known as quantum dots (QDs), have garnered significant attention for fluorescence imaging owing to their tunable emission wavelength, high quantum yield, and excellent photostability. Among these QDs, heavy metal-free InP-based QDs have emerged as a promising candidate, addressing concerns regarding heavy metal-related toxicity. However, to the best of our knowledge, PET/fluorescence dual-modal imaging of InP QDs has yet to be explored. Here, we developed a novel PET/fluorescence imaging probe based on radioisotope (RI) -chelated InP/ZnSe/ZnS QDs for tumor imaging. The surface of the InP/ZnSe/ZnS QDs was functionalized with polyethylene glycol terminated with either a methoxy group or a 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA) chelator group. Subsequently, the RI

Indexed as

dual-modal probefluorescence imagingInP/ZnSe/ZnS quantum dotsPET imagingradioisotope

Identifiers

PMID40065760
PMCPMC11892056

What OpenQuestion holds

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Registered trials

None linked

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.