ReviewNpj imaging2026
Advanced imaging techniques for tumor intraoperative navigation imaging.
Review in Npj imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Intraoperative NIR-II fluorescence guidance for precise tumor margin assessment and maximized tissue preservation in breast surgery.Breast cancer research : BCR · 2026Article
- Bimodal Fluorescent Conjugate Based on Prostate-Specific Membrane Antigen Ligands with the Chelating Agent DOTA and SulfoCy5 Dye: Synthesis, Radiolabeling, and Biological Activity.International journal of molecular sciences · 2026Article
- Raman and surface-enhanced Raman spectroscopy for intraoperative cancer diagnostics: sentinel lymph node biopsy, biomarkers and translational challenges.Frontiers in bioengineering and biotechnology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Cancer remains a leading cause of mortality and morbidity, with surgical resection being a fundamental element of treatment. However, early detection and precise tumor resection are critical for improving survival and minimizing recurrence. Conventional imaging techniques face limitations in resolution, real-time feedback, and tissue differentiation, often leading to imprecise resection. Recent advancements in intraoperative imaging technologies have gradually addressed these challenges. Fluorescence imaging offers superior tissue penetration, enhanced signal-to-noise ratio, and resilience under a surgical environment, making it ideal for real-time tissue and lymph node detection. Targeted molecular probes and advanced fluorescence techniques further enhance tumor specificity. Modalities like photoacoustic and Raman spectroscopy provide complementary insights, while three-dimensional reconstruction and multimodal systems improve anatomical precision. Early clinical studies demonstrate these technologies' high sensitivity and clinical feasibility in tumor detection and margin assessment. Integrating artificial intelligence and personalized medicine into intraoperative imaging holds promise for further refining these techniques, leading to more tailored and effective interventions. This review provides an overview of the evolution and clinical practice of novel intraoperative imaging technologies, highlighting their superiority over traditional methods and outlining the future research directions in this rapidly advancing field.
Identifiers
What OpenQuestion holds
Registered trials
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.