ArticleMolecular imaging and biology2020
Near-Infrared Imaging with Second-Window Indocyanine Green in Newly Diagnosed High-Grade Gliomas Predicts Gadolinium Enhancement on Postoperative Magnetic Resonance Imaging.
Article in Molecular imaging and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 39 citations in OpenAlex.
- Comparison of Fluorescent Probes for IDH-Wildtype Glioblastoma, Metastatic Brain Tumors, and PCNSL: A Biomechanical Perspective.International journal of molecular sciences · 2026Review
- A novel near-infrared II viscosity-responsive probe for surgical fluorescence guidance: laboratory investigation in a murine subcutaneous glioma model.Frontiers in oncology · 2026Article
- Real-timeFrontiers in oncology · 2026Article
- Early Experience With Indocyanine Green (ICG) Fluorescent Guided Transoral Robotic Surgery With the Da Vinci SP.Head & neck · 2025Article
- Near-infrared fatty acid molecular probe for image-guided surgery of glioblastoma.Npj imaging · 2025Article
- Review
- "Beyond the Knife"-Applying Theranostic Technologies to Enhance Outcomes in Neurosurgical Oncology.Brain sciences · 2024Review
- Review
- Orbital Adipose Tissue: The Optimal Control for Back-Table Fluorescence Imaging of Orbital Tumors.Bioengineering (Basel, Switzerland) · 2024Article
- The biological applications of near-infrared optical nanomaterials in atherosclerosis.Journal of nanobiotechnology · 2024Review
- 5-ALA induced PpIX fluorescence spectroscopy in neurosurgery: a review.Frontiers in neuroscience · 2024Review
- Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection.NPJ precision oncology · 2023Article
- Intraoperative Imaging and Optical Visualization Techniques for Brain Tumor Resection: A Narrative Review.Cancers · 2023Review
- Feasibility and safety of computed tomography-guided intrapulmonary injection of indocyanine green for localization of peripheral pulmonary ground-glass nodules.Quantitative imaging in medicine and surgery · 2023Article
- Novel approaches to targeting gliomas at the leading/cutting edge.Journal of neurosurgery · 2023Review
- The diagnostic accuracy of intraoperative differentiation and delineation techniques in brain tumours.Discover oncology · 2022Review
- Assessment and Comparison of Three Dimensional Exoscopes for Near-Infrared Fluorescence-Guided Surgery Using Second-Window Indocyanine-Green.Journal of Korean Neurosurgical Society · 2022Article
- Refining Glioblastoma Surgery through the Use of Intra-Operative Fluorescence Imaging Agents.Pharmaceuticals (Basel, Switzerland) · 2022Review
- Second window ICG predicts postoperative MRI gadolinium enhancement in high grade gliomas and brain metastases.Neurosurgical focus: Video · 2022Article
- The Neurosurgeon's Armamentarium for Gliomas: An Update on Intraoperative Technologies to Improve Extent of Resection.Journal of clinical medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 1 institution in 1 country.
Funding
Abstract
purposeIntraoperative molecular imaging with tumor-targeting fluorophores offers real-time detection of neoplastic tissue. The second window indocyanine green (SWIG) technique relies on passive accumulation of indocyanine green (ICG), a near-infrared fluorophore, in neoplastic tissues. In this study, we explore the ability of SWIG to detect neoplastic tissue and to predict postoperative magnetic resonance imaging (MRI) findings intraoperatively. PROCEDURES: Retrospective data were collected from 36 patients with primary high-grade gliomas (HGG) enrolled as part of a larger trial between October 2014 and October 2018. Patients received systemic ICG infusions at 2.5-5 mg/kg 24 h preoperatively. Near-infrared fluorescence was recorded throughout the case and from biopsy specimens. The presence/location of residual SWIG signal after resection was compared to the presence/location of residual gadolinium enhancement on postoperative MRI. The extent of resection was not changed based on near-infrared imaging.
resultsAll 36 lesions demonstrated strong near-infrared fluorescence (signal-to-background = 6.8 ± 2.2) and 100 % of tumors reaching the cortex were visualized before durotomy. In 78 biopsy specimens, near-infrared imaging demonstrated higher sensitivity and accuracy than white light for diagnosing neoplastic tissue intraoperatively. Furthermore, near-infrared imaging predicted gadolinium enhancement on postoperative MRI with 91 % accuracy, with visualization of residual enhancement as small as 0.3 cm
conclusionsIntraoperative imaging with SWIG demonstrates highly sensitive detection of HGG tissue in real time. Furthermore, post-resection near-infrared imaging correlates with postoperative MRI. Overall, our findings suggest that SWIG can provide surgeons with MRI-like results in real time, potentially increasing resection rates.
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.