ReviewEuropean journal of nuclear medicine and molecular imaging2024
Current clinical applications of Cerenkov luminescence for intraoperative molecular imaging.
Review in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 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
7 citing papers in PubMed, 12 citations in OpenAlex.
- Intraoperative molecular imaging - it's all about advancing surgical decision making and improving dexterity.Zeitschrift fur medizinische Physik · 2026Review
- Advances in neurotensin receptor 1-targeted molecular probes for tumor molecular imaging and therapy.Frontiers in oncology · 2026Review
- Hybrid Surgical Guidance in Urologic Robotic Oncological Surgery.Journal of clinical medicine · 2025Review
- Protein-based Radiopharmaceuticals that target fibroblast activation protein alpha: a review of current progress.EJNMMI radiopharmacy and chemistry · 2025Review
- Molecular imaging of renal cell carcinomas: ready for prime time.Nature reviews. Urology · 2025Review
- Optical (Cherenkov) dosimetry to unravel the radiobiological effects of radioisotope based therapy.European journal of nuclear medicine and molecular imaging · 2025Article
- Construction of a high-sensitivity Cherenkov luminescence endoscopy system for the detection of gastrointestinal cancers.EJNMMI research · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundCerenkov luminescence imaging (CLI) is a new emerging technology that can be used for optical imaging of approved radiotracers, both in a preclinical, and even more recently, in a clinical context with rapid imaging times, low costs, and detection in real-time (Grootendorst et al. Clin Transl Imaging 4(5):353-66, 2016); Wang et al. Photonics 9(6):390, 2022). This brief review provides an overview of clinical applications of CLI with a focus on intraoperative margin assessment (IMA) to address shortcomings and provide insight for future work in this application.
methodsA literature review was performed using PubMed using the search words Cerenkov luminescence imaging (CLI), intraoperative margin assessment (IMA), and image-guided surgery. Articles were selected based on title, abstract, content, and application.
resultsOriginal research was summarized to examine advantages and limitations of CLI compared to other modalities for IMA. The characteristics of Cerenkov luminescence (CL) are defined, and results from relevant clinical trials are discussed. Prospects of ongoing clinical trials are reviewed, along with technological advancements related to CLI.
conclusionCLI is a proven method for molecular imaging and shows feasibility for determining intraoperative margins if future work involves establishing quantitative approaches for attenuation and scattering, depth analysis, and radiation safety for CLI at a larger scale.
Indexed as
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.