Evidence map›Paper›PMID 41139377›Full record

ReviewJournal of fluorescence2026

Application of Quantum Dot Multimodal Imaging in Early Disease Diagnosis.

Zhuohao Bao, Linxin Lu, Jingyi Wang, Haotian Zhu, Xiangliang Dang, Yichao Chen, Xianze Yin, Yiheng Song, Xianjie Wen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of fluorescence, 2026. 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

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

1 citing paper in PubMed.

  1. Review
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.

Zhuohao BaoCollege of Materials Science and Engineering, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, Hubei, 430200, People's Republic of China.
Linxin LuCollege of Materials Science and Engineering, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, Hubei, 430200, People's Republic of China.
Jingyi WangCollege of Materials Science and Engineering, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, Hubei, 430200, People's Republic of China.
Haotian ZhuCollege of Materials Science and Engineering, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, Hubei, 430200, People's Republic of China.
Xiangliang DangCollege of Materials Science and Engineering, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, Hubei, 430200, People's Republic of China.
Yichao ChenCollege of Materials Science and Engineering, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, Hubei, 430200, People's Republic of China.
Xianze YinCollege of Materials Science and Engineering, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, Hubei, 430200, People's Republic of China. yinxianze@wtu.edu.cn.
Yiheng SongCollege of Materials Science and Engineering, State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan, Hubei, 430200, People's Republic of China. yhsong@wtu.edu.cn.
Xianjie WenDepartment of Anesthesiology, The Second People's Hospital of Foshan City, Foshan, 528000, China. xjwen166@163.com.

Funding

Natural Science Foundation of China 52273041Natural Science Foundation of China 52403047Natural Science Foundation of Hubei Province of China 2024AFB222Opening Project of Guangxi Key Laboratory of Calcium Carbonate Resources Comprehensive Utilization HZXYKFKT202305Outstanding Young and Middle-aged Scientific Innovation Team of Colleges and Universities of Hubei Province T2022017State Key Laboratory of New Textile Materials and Advanced Processing Technologies FZJW2024003
6 · The paper itself

Abstract

Quantum dot-based multimodal imaging technology provides a highly sensitive and versatile detection approach for early disease screening, demonstrating significant clinical value. This technology simultaneously offers high-sensitivity optical signals, superior tissue penetration depth, and precise anatomical localization, overcoming the inherent limitations of single-modal imaging. This review focuses on the applications and advantages of this technology in early disease screening, particularly highlighting its synergistic applications in fluorescence imaging (enabling high-precision multichannel detection), magnetic resonance imaging (MRI) (where controlled doping strategies facilitate dual-mode contrast enhancement), and computed tomography (CT) (where high-atomic-number quantum dot contrast agents surpass traditional sensitivity limits). Furthermore, the functionalized surface modification of quantum dots enables targeted delivery and therapeutic capabilities, along with artificial intelligence assisted quantum dots data analysis, promoting theranostic integration. Future advancements are expected to further optimize imaging precision and expand clinical applications, offering revolutionary tools for early disease diagnosis with broad development prospects.

Indexed as

Multimodal ImagingQuantum DotsEarly DiagnosisHumansMagnetic Resonance ImagingOptical ImagingTomography, X-Ray ComputedDisease detectionFluorescenceMultimodal imagingQuantum dots

Identifiers

PMID41139377

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.