ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019
AI-Assisted
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed, 51 citations in OpenAlex.
- Review
- Emerging In Vivo Imaging Modalities for Improved Glioblastoma Surgery and Monitoring.Biomedicines · 2026Review
- Intraoperative Spectroscopic and Mass Spectrometric Assessment of Glioma Margins: A Systematic Review and Meta-Analysis.Cancers · 2026Review
- AI-Powered Histology for Molecular Profiling in Brain Tumors: Toward Smart Diagnostics from Tissue.Cancers · 2025Review
- Ambient ionization mass spectrometry in brain cancer diagnosis.Journal of mass spectrometry and advances in the clinical lab · 2025Review
- Preliminary Establishment of a Method and System for Detecting Neural Tumor Boundaries Based on Optical Coherence Tomography.MedComm · 2025Article
- Leveraging pretrained vision transformers for automated cancer diagnosis in optical coherence tomography images.Biomedical optics express · 2025Article
- Towards Optical Biopsy in Glioma Surgery.International journal of molecular sciences · 2025Review
- Review
- Optical coherence tomography (OCT) and OCT angiography: Technological development and applications in brain science.Theranostics · 2025Review
- Attenuation coefficient as a tool to detect changes in the white matter of the rat brain caused by different types of gliomas and irradiation.Biomedical optics express · 2024Article
- Rapid detection of IDH mutations in gliomas by intraoperative mass spectrometry.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Label-free optical imaging for brain cancer assessment.Trends in cancer · 2024Review
- Optical Methods for Brain Tumor Detection: A Systematic Review.Journal of clinical medicine · 2024Review
- The LMIT: Light-mediated minimally-invasive theranostics in oncology.Theranostics · 2024Review
- Advances in Intraoperative Glioma Tissue Sampling and Infiltration Assessment.Brain sciences · 2023Review
- Intra-Operative Definition of Glioma Infiltrative Margins by Visualizing Immunosuppressive Tumor-Associated Macrophages.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future.Diagnostics (Basel, Switzerland) · 2023Review
- Advances in computational and translational approaches for malignant glioma.Frontiers in physiology · 2023Review
- Nondestructive label-free detection of peritumoral white matter damage using cross-polarization optical coherence tomography.Frontiers in oncology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
Abstract
purposeIn glioma surgery, it is critical to maximize tumor resection without compromising adjacent noncancerous brain tissue. Optical coherence tomography (OCT) is a noninvasive, label-free, real-time, high-resolution imaging modality that has been explored for glioma infiltration detection. Here, we report a novel artificial intelligence (AI)-assisted method for automated, real-time,
resultsOur method achieved excellent levels of sensitivity (∼100%) and specificity (∼85%) for detecting glioma-infiltrated tissue with high spatial resolution (16 μm laterally) and processing speed (∼100,020 OCT A-lines/second).
conclusionsPrevious methods for OCT-based detection of glioma-infiltrated brain tissue rely on estimating the tissue optical attenuation coefficient from the OCT signal, which requires sacrificing spatial resolution to increase signal quality, and performing systematic calibration procedures using tissue phantoms. By overcoming these major challenges, our AI-assisted method will enable implementing practical OCT-guided surgical tools for continuous, real-time, and accurate intraoperative detection of glioma-infiltrated brain tissue, facilitating maximal glioma resection and superior surgical outcomes for patients with glioma.
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.