Evidence map›Paper›PMID 38164160›Full record

ReviewTheranostics2024

The LMIT: Light-mediated minimally-invasive theranostics in oncology.

Yingwei Fan, Shuai Liu, Enze Gao, Rui Guo, Guozhao Dong, Yangxi Li, Tianxin Gao, Xiaoying Tang, Hongen Liao

Open access · goldAbstract readReview
In one paragraph

Review in Theranostics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

9 authors at 2 institutions in 1 country.

Yingwei FanSchool of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081.
Shuai LiuSchool of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081.
Enze GaoSchool of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081.
Rui GuoSchool of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081.
Guozhao DongSchool of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081.
Yangxi LiDept. of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 100084.
Tianxin GaoSchool of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081.
Xiaoying TangSchool of Medical Technology, Beijing Institute of Technology, Beijing, China, 100081.
Hongen LiaoDept. of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, 100084.
Beijing Institute of Technology · CNTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally-invasive diagnosis and therapy have gradually become the trend and research hotspot of current medical applications. The integration of intraoperative diagnosis and treatment is a development important direction for real-time detection, minimally-invasive diagnosis and therapy to reduce mortality and improve the quality of life of patients, so called minimally-invasive theranostics (MIT). Light is an important theranostic tool for the treatment of cancerous tissues. Light-mediated minimally-invasive theranostics (LMIT) is a novel evolutionary technology that integrates diagnosis and therapeutics for the less invasive treatment of diseased tissues. Intelligent theranostics would promote precision surgery based on the optical characterization of cancerous tissues. Furthermore, MIT also requires the assistance of smart medical devices or robots. And, optical multimodality lay a solid foundation for intelligent MIT. In this review, we summarize the important state-of-the-arts of optical MIT or LMIT in oncology. Multimodal optical image-guided intelligent treatment is another focus. Intraoperative imaging and real-time analysis-guided optical treatment are also systemically discussed. Finally, the potential challenges and future perspectives of intelligent optical MIT are discussed.

Indexed as

NeoplasmsPrecision MedicineHumansNeurosurgical ProceduresQuality of LifeTheranostic Nanomedicineimage-guided surgeryintelligent theranosticsintraoperative imagingminimally-invasive diagnosis and therapyoptical diagnosis and therapy

Identifiers

PMID38164160
PMCPMC10750201
OpenAlexW4388699659

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.