ArticleScience advances2023
Spectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Intraoperative spectral imaging versus ICG fluorescence for gastric conduit viability in esophagectomy.Surgical endoscopy · 2026Article
- Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis.Nature biomedical engineering · 2026Article
- Artificial intelligence in urology training Enhancing annotation, feedback, and evaluation in robotic, laparoscopic, and endoscopic surgery.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2026Review
- Neural illumination calibration for surgical workflow-optimized spectral imaging.International journal of computer assisted radiology and surgery · 2026Article
- Perspective on the current state of hyperspectral/multispectral imaging for minimally invasive surgery.Journal of biomedical optics · 2026Review
- Learning to simulate realistic human diffuse reflectance spectra.Journal of biomedical optics · 2026Article
- Laparoscopic near-infrared hyperspectral imaging system for identifying living porcine nerves and unexposed arteries.Biomedical optics express · 2025Article
- Use of artificial intelligence in the analysis of digital videos of invasive surgical procedures: scoping review.BJS open · 2025Article
- Semantic hyperspectral image synthesis for cross-modality knowledge transfer in surgical data science.International journal of computer assisted radiology and surgery · 2025Article
- Real-time multispectral imaging for intraoperative monitoring of coronary artery bypass graft patency.Journal of biomedical optics · 2025Article
- Surgical video workflow analysis via visual-language learning.npj health systems · 2025Article
- Hyperspectral abdominal laparoscopy with real-time quantitative tissue oxygenation imaging: a live porcine study.Frontiers in medical technology · 2025Article
- Spectral characterization of intraoperative renal perfusion using hyperspectral imaging and artificial intelligence.Scientific reports · 2024Article
- A comparative study of analytical models of diffuse reflectance in homogeneous biological tissues: Gelatin-based phantoms and Monte Carlo experiments.Journal of biophotonics · 2024Article
- The SPECTRAL Perfusion Arm Clamping dAtaset (SPECTRALPACA) for video-rate functional imaging of the skin.Scientific data · 2024Article
- Switchable LED-based laparoscopic multispectral system for rapid high-resolution perfusion imaging.Journal of biomedical optics · 2023Article
- Lightfield hyperspectral imaging in neuro-oncology surgery: an IDEAL 0 and 1 study.Frontiers in neuroscience · 2023Article
- A dual-camera hyperspectral laparoscopic imaging system.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy. While characterization of the tissue perfusion is crucial in various procedures, such as partial nephrectomy, doing so by means of visual inspection remains highly challenging. We developed a laparoscopic real-time multispectral imaging system featuring a compact and lightweight multispectral camera and the possibility to complement the conventional surgical view of the patient with functional information at a video rate of 25 Hz. To enable contrast agent-free ischemia monitoring during laparoscopic partial nephrectomy, we phrase the problem of ischemia detection as an out-of-distribution detection problem that does not rely on data from any other patient and uses an ensemble of invertible neural networks at its core. An in-human trial demonstrates the feasibility of our approach and highlights the potential of spectral imaging combined with advanced deep learning-based analysis tools for fast, efficient, reliable, and safe functional laparoscopic imaging.
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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.