ArticleUrology2017
Near-infrared Intraoperative Molecular Imaging Can Identify Metastatic Lymph Nodes in Prostate Cancer.
Article in Urology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04107623 (Quantitative Fluorescent Guided Robotic Surgery for Cancer of the Gastroesophageal Junction), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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.
Quantitative Fluorescent Guided Robotic Surgery for Cancer of the Gastroesophageal Junction
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Best practices in near-infrared fluorescence imaging with indocyanine green (NIRF/ICG)-guided robotic urologic surgery: a systematic review-based expert consensus.World journal of urology · 2020Pooled it
- Indocyanine green fluorescence in pelvic lymph node dissection during laparoscopic radical prostatectomy: a randomized controlled trial.Updates in surgery · 2025Article
- Optical Imaging in Human Lymph Node Specimens for Detecting Breast Cancer Metastases: A Review.Cancers · 2023Review
- The application of indocyanine green in guiding prostate cancer treatment.Asian journal of urology · 2023Review
- Review
- Indocyanine Green-Guided Pediatric Tumor Resection: Approach, Utility, and Challenges.Frontiers in pediatrics · 2021Article
- Intraoperative assessment and postsurgical treatment of prostate cancer tumors using tumor-targeted nanoprobes.Nanotheranostics · 2021Article
- Article
- Fluorescence-Guided Surgery for High-Grade Gliomas: State of the Art and New Perspectives.Technology in cancer research & treatmentReview
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo propose a novel method to perform indocyanine green (ICG) based near-infrared (NIR) fluorescence imaging during pelvic lymph node dissection (PLND) for prostate cancer patients with lymph node metastasis (LNM). MATERIALS AND
methodsA prostate cancer cell line PC3 was used to establish xenograft model in NOD/SCID mice. After tumor growth, the mice were injected with ICG through the tail vein. Xenografts and surrounding tissues were imaged with NIR camera 24 hours after intravenous ICG, and tumor-to-background ratios were calculated. We then performed a pilot human study to evaluate the role of NIR imaging in robotic PLND after systemic ICG in 4 patients with prostate cancer and preoperative lymphadenopathy.
resultsICG localized to PC3 xenografts in the mice and all xenografts were highly fluorescent compared with surrounding tissues, with a median tumor-to-background ratio of 2.85 (interquartile range = 2.64-3.90). In the human study, intraoperative in vivo NIR imaging identified 3 of the 4 preoperative lymphadenopathies as fluorescence-positive, and back table ex vivo NIR imaging identified all 4 lymphadenopathies as fluorescence-positive. All the lymphadenopathies were found to be LNMs by pathologic examination. Two of the four cases had additional LNMs, all of which were fluorescence-positive with intraoperative in vivo NIR imaging.
conclusionIntravenously administered ICG accumulates in prostate cancers in both a murine model and human patients. NIR fluorescence based on intravenous ICG may serve as a useful tool to facilitate the identification of positive nodes during PLND in patients with higher risk of LNMs.
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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.