Evidence map›Paper›PMID 42657301›Full record

ReviewChemical & biomedical imaging2026

Progress in the Design and Clinical Application of Probes for Fluorescence-Guided Laparoscopic Surgery.

Chao Chen, Jun Yang, Shihao Jiang, Ye Chen, Yuansong He, Songling Liu, Kang Chen, Lei Zhou, Wei Cheng, Hongwen Liu

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Chao ChenDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.ORCID https://orcid.org/0009-0002-7043-0420
Jun YangDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.
Shihao JiangDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.
Ye ChenDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.
Yuansong HeDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.
Songling LiuDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.
Kang ChenDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.ORCID https://orcid.org/0000-0002-6363-740X
Lei ZhouDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.
Wei ChengDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.
Hongwen LiuDepartment of Hepatobiliary Surgery, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China.ORCID https://orcid.org/0000-0001-8757-1620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence-guided laparoscopic surgery has emerged as a transformative technology in minimally invasive surgery, fundamentally enhancing visualization and precision by providing real-time, high-contrast molecular information beyond traditional anatomical views. This paradigm shift is driven by synergistic innovations in two key areas: the rational design of target-specific fluorescent probes with improved optical properties and biorecognition capabilities, and significant advancements in imaging systems, including seamless hardware integration, multimodal data fusion, and AI-assisted image analysis. This comprehensive review critically summarizes the latest progress across this interdisciplinary spectrum, detailing breakthroughs in probe molecule engineering, technological evolution of imaging platforms, and expanding clinical applications in both oncologic and nononcologic fields. By synthesizing these developments and analyzing current challenges, this article outlines the trajectory of the field and underscores the integrated efforts required to translate optical precision into surgical outcomes and personalized patient care.

Indexed as

AI-assisted surgeryclinical translationfluorescence-guided surgeryfluorescence imagingfluorescent probeimaging technologylaparoscopic surgerymolecular engineering

Identifiers

PMID42657301
PMCPMC13508522

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.