Evidence map›Paper›PMID 41293708›Full record

ArticleBiomedical optics express2025

Visualization of dose parameters and efficacy prediction in vascular-targeted photodynamic therapy based on a hyperspectral imaging system.

Rongrui Zhang, Jing Wang, Shasha Wang, Jing Liu, Yawen Wang, Junduo Liu, Jing Lv, Jingrui Zhao, Lei Fu, Qiangzhou Rong and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Rongrui ZhangKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Photonics and Sensing, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Jing WangKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Photonics and Sensing, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China.ORCID https://orcid.org/0000-0001-5875-4049
Shasha WangKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Photonics and Sensing, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Jing LiuDepartment of Dermatology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
Yawen WangDepartment of Dermatology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
Junduo LiuKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Photonics and Sensing, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Jing LvKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Photonics and Sensing, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Jingrui ZhaoKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Photonics and Sensing, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Lei FuKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Photonics and Sensing, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China.ORCID https://orcid.org/0000-0002-5593-4180
Qiangzhou RongKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Photonics and Sensing, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Weihui ZengDepartment of Dermatology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China.
Cuiping YaoKey Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Biomedical Photonics and Sensing, School of Life Sciences and Technology, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular-targeted photodynamic therapy (V-PDT) is a promising treatment for benign vascular proliferative disorders. However, its efficacy largely depends on clinicians' experience due to the lack of reliable methods for efficacy prediction. To provide an objective prediction approach, a hyperspectral imaging (HSI) system was developed to achieve real-time, non-invasive visualization of V-PDT dose parameters, including photosensitizer distribution, oxygen concentration, and vasoconstriction. Based on these measurements, we proposed a photodynamic therapy efficacy prediction index (PEPI)-a new metric that integrates the dynamic changes of both photosensitizer and oxygen throughout the treatment process, thereby providing critical insights for optimizing treatment protocols. Experimental results obtained

Identifiers

PMID41293708
PMCPMC12643023

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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.