ArticleJournal of biomedical optics2020
Development of a drug-device combination for fluorescence-guided surgery in neuroendocrine tumors.
Article in Journal of biomedical optics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Fibulin-4 expressed in metastatic breast cancer is a target of peptide-based imaging probes and experimental therapeutics.Molecular therapy. Oncology · 2026Article
- Somatostatin Receptor Subtype-2 Targeting System for Specific Delivery of Temozolomide.Journal of medicinal chemistry · 2024Article
- The magic mirror: a novel intraoperative monitoring method for parathyroid glands.Frontiers in endocrinology · 2023Review
- High-Contrast Detection of Somatostatin Receptor Subtype-2 for Fluorescence-Guided Surgery.Molecular pharmaceutics · 2022Article
- Indocyanine green fluorescence image processing techniques for breast cancer macroscopic demarcation.Scientific reports · 2022Article
- Establishment of Novel Neuroendocrine Carcinoma Patient-Derived Xenograft Models for Receptor Peptide-Targeted Therapy.Cancers · 2022Article
- Receptor-Targeted Fluorescence-Guided Surgery With Low Molecular Weight Agents.Frontiers in oncology · 2021Review
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
significanceThe use of cancer-targeted contrast agents in fluorescence-guided surgery (FGS) has the potential to improve intraoperative visualization of tumors and surgical margins. However, evaluation of their translational potential is challenging.
aimWe examined the utility of a somatostatin receptor subtype-2 (SSTR2)-targeted fluorescent agent in combination with a benchtop near-infrared fluorescence (NIRF) imaging system to visualize mouse xenografts under conditions that simulate the clinical FGS workflow for open surgical procedures. APPROACH: The dual-labeled somatostatin analog, Ga67-MMC(IR800)-TOC, was injected into mice (n = 24) implanted with SSTR2-expressing tumors and imaged with the customized OnLume NIRF imaging system (Madison, Wisconsin). In vivo and ex vivo imaging were performed under ambient light. The optimal dose (0.2, 0.5, and 2 nmol) and imaging time point (3, 24, 48, and 72 h) were determined using contrast-to-noise ratio (CNR) as the image quality parameter. Video captures of tumor resections were obtained to provide an FGS readout that is representative of clinical utility. Finally, a log-transformed linear regression model was fitted to assess congruence between fluorescence readouts and the underlying drug distribution.
resultsThe drug-device combination provided high in vivo and ex vivo contrast (CNRs > 3, except lung at 3 h) at all time points with the optimal dose of 2 nmol. The optimal imaging time point was 24-h post-injection, where CNRs > 6.5 were achieved in tissues of interest (i.e., pancreas, small intestine, stomach, and lung). Intraoperative FGS showed excellent utility for examination of the tumor cavity pre- and post-resection. The relationship between fluorescence readouts and gamma counts was linear and strongly correlated (n = 334, R2 = 0.71; r = 0.84; P < 0.0001).
conclusionThe innovative OnLume NIRF imaging system enhanced the evaluation of Ga67-MMC(IR800)-TOC in tumor models. These components comprise a promising drug-device combination for FGS in patients with SSTR2-expressing tumors.
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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.