ArticleScientific reports2022
Epidural anesthesia needle guidance by forward-view endoscopic optical coherence tomography and deep learning.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 18 citations in OpenAlex.
- Deep-learning-aided sarcoma biopsy guidance using forward-view endoscopic optical coherence tomography.Biomedical optics express · 2026Article
- Enhanced puncture event detection for teleoperated needle insertion robotic system.Medical & biological engineering & computing · 2026Article
- Deep learning fusion of multi-channel imaging from polarization-sensitive optical coherence tomography.Biomedical optics express · 2026Article
- Advances and Opportunities in NIR-II Endoscopy: From Diagnosis to Therapeutic Applications.Diagnostics (Basel, Switzerland) · 2026Review
- Percutaneous nephrostomy guidance by a convolutional-neural-network-based optical coherence tomography endoscope.Communications engineering · 2026Article
- Anesthesia for cesarean delivery in the era of artificial intelligence: a narrative review.Journal of anesthesia, analgesia and critical care · 2026Review
- Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models.Computer methods and programs in biomedicine · 2025Article
- Deep Learning for Autonomous Surgical Guidance Using 3-Dimensional Images From Forward-Viewing Endoscopic Optical Coherence Tomography.Journal of biophotonics · 2025Article
- Octascope: A Lightweight Pre-Trained Model for Optical Coherence Tomography.IEEE access : practical innovations, open solutions · 2025Article
- Automatic renal carcinoma biopsy guidance using forward-viewing endoscopic optical coherence tomography and deep learning.Communications engineering · 2024Article
- Optical coherence tomography for multicellular tumor spheroid category recognition and drug screening classification via multi-spatial-superficial-parameter and machine learning.Biomedical optics express · 2024Article
- Dimension-based quantification of aging-associated cerebral microvasculature determined by optical coherence tomography and two-photon microscopy.Journal of biophotonics · 2024Article
- Enhancing epidural needle guidance using a polarization-sensitive optical coherence tomography probe with convolutional neural networks.Journal of biophotonics · 2024Article
- Automatic renal carcinoma biopsy guidance using forward-viewing endoscopic optical coherence tomography and deep learning.Research square · 2023Article
- Needle guidance with Doppler-tracked polarization-sensitive optical coherence tomography.Journal of biomedical optics · 2023Article
- Recent Advances in Smart Epidural Spinal Needles.Sensors (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
Epidural anesthesia requires injection of anesthetic into the epidural space in the spine. Accurate placement of the epidural needle is a major challenge. To address this, we developed a forward-view endoscopic optical coherence tomography (OCT) system for real-time imaging of the tissue in front of the needle tip during the puncture. We tested this OCT system in porcine backbones and developed a set of deep learning models to automatically process the imaging data for needle localization. A series of binary classification models were developed to recognize the five layers of the backbone, including fat, interspinous ligament, ligamentum flavum, epidural space, and spinal cord. The classification models provided an average classification accuracy of 96.65%. During puncture, it is important to maintain a safe distance between the needle tip and the dura mater. Regression models were developed to estimate that distance based on the OCT imaging data. Based on the Inception architecture, our models achieved a mean absolute percentage error of 3.05% ± 0.55%. Overall, our results validated the technical feasibility of using this novel imaging strategy to automatically recognize different tissue structures and measure the distances ahead of the needle tip during the epidural needle placement.
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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.