Evidence map›Paper›PMID 37534312›Full record

ArticleFrontiers in medicine2023

Using mixed reality technique combines multimodal imaging signatures to adjuvant glioma photodynamic therapy.

Jiawei Dong, Fang Wang, Yuyun Xu, Xin Gao, Hongtao Zhao, Jiheng Zhang, Nan Wang, Zhihui Liu, Xiuwei Yan, Jiaqi Jin and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. 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
1.4field-weighted citation impact, top 17% of its field
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, 5 citations in OpenAlex.

  1. Review
  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

15 authors at 6 institutions in 1 country.

Jiawei DongDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Fang WangDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yuyun XuCancer Center, Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Xin GaoCancer Center, Department of Neurosurgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Hongtao ZhaoCancer Center, Department of Neurosurgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Jiheng ZhangDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Nan WangDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Zhihui LiuDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xiuwei YanDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jiaqi JinDepartment of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Hang JiCancer Center, Department of Neurosurgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Ruiqi ChengHeilongjiang Tuomeng Technology Co., Ltd, Harbin, China.
Lihai WangCollege of Engineering and Technology, Northeast Forestry University, Harbin, China.
Zhaowen QiuCollege of Information and Computer Engineering, Northeast Forestry University, Harbin, China.
Shaoshan HuCancer Center, Department of Neurosurgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Hangzhou Medical College · CNHarbin Medical University · CNNortheast Forestry University · CNZhejiang Provincial People's Hospital · CNEducation Department of Heilongjiang Province · CNSecond Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Photodynamic therapy (PDT) promotes significant tumor regression and extends the lifetime of patients. The actual operation of PDT often relies on the subjective judgment of experienced neurosurgeons. Patients can benefit more from precisely targeting PDT's key operating zones. Methods: We used magnetic resonance imaging scans and created 3D digital models of patient anatomy. Multiple images are aligned and merged in STL format. Neurosurgeons use HoloLens to import reconstructions and assist in PDT execution. Also, immunohistochemistry was used to explore the association of hyperperfusion sites in PDT of glioma with patient survival. Results: We constructed satisfactory 3D visualization of glioma models and accurately localized the hyperperfused areas of the tumor. Tumor tissue taken in these areas was rich in CD31, VEGFA and EGFR that were associated with poor prognosis in glioma patients. We report the first study using MR technology combined with PDT in the treatment of glioma. Based on this model, neurosurgeons can focus PDT on the hyperperfused area of the glioma. A direct benefit was expected for the patients in this treatment. Conclusion: Using the Mixed Reality technique combines multimodal imaging signatures to adjuvant glioma PDT can better exploit the vascular sealing effect of PDT on glioma.

Indexed as

gliomaHoloLensmagnetic resonance imagingmixed realityphotodynamic therapy

Identifiers

PMID37534312
PMCPMC10392826
OpenAlexW4384665905

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.