Evidence map›Paper›PMID 28849712›Full record

ReviewMolecular imaging

Combination of Fluorescence-Guided Surgery With Photodynamic Therapy for the Treatment of Cancer.

Jun He, Leping Yang, Wenjun Yi, Wentao Fan, Yu Wen, Xiongying Miao, Li Xiong

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Molecular imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

7 authors.

Jun He1 General Surgery Department, Second Xiangya Hospital, Central South University, Changsha, China.
Leping Yang1 General Surgery Department, Second Xiangya Hospital, Central South University, Changsha, China.
Wenjun Yi1 General Surgery Department, Second Xiangya Hospital, Central South University, Changsha, China.
Wentao Fan1 General Surgery Department, Second Xiangya Hospital, Central South University, Changsha, China.
Yu Wen1 General Surgery Department, Second Xiangya Hospital, Central South University, Changsha, China.
Xiongying Miao1 General Surgery Department, Second Xiangya Hospital, Central South University, Changsha, China.
Li Xiong1 General Surgery Department, Second Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Specific visualization of body parts is needed during surgery. Fluorescence-guided surgery (FGS) uses a fluorescence contrast agent for in vivo tumor imaging to detect and identify both malignant and normal tissues. There are several advantages and clinical benefits of FGS over other conventional medical imaging modalities, such as its safety, effectiveness, and suitability for real-time imaging in the operating room. Recent advancements in contrast agents and intraoperative fluorescence imaging devices have led to a greater potential for intraoperative fluorescence imaging in clinical applications. Photodynamic therapy (PDT) is an alternative modality to treat tumors, which uses a light-sensitive drug (photosensitizers) and special light to destroy the targeted tissues. In this review, we discuss the fluorescent contrast agents, some newly developed imaging devices, and the successful clinical application of FGS. Additionally, we present the combined strategy of FGS with PDT to further improve the therapeutic effect for patients with cancer. Taken together, this review provides a unique perspective and summarization of FGS.

Indexed as

Contrast MediaFluorescenceHumansLymph NodesNeoplasmsPhotochemotherapyContrast Mediacancercombination strategyfluorescence-guided surgerylymph node mappingmultifunctional platformphotodynamic therapy

Identifiers

PMID28849712
PMCPMC5580848

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.