ReviewMedical image analysis2020
Surgical spectral imaging.
Review in Medical image analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 4 of them syntheses that pooled it.
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
83 citing papers in PubMed, 4 syntheses or guidelines pooled it, 154 citations in OpenAlex.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Hyperspectral imaging for tumor resection guidance in surgery: a systematic review of preclinical and clinical studies.Journal of biomedical optics · 2025Pooled it
- Noninvasive hemoglobin sensing and imaging: optical tools for disease diagnosis.Journal of biomedical optics · 2022Pooled it
- The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature.Sensors (Basel, Switzerland) · 2022Pooled it
- Python-controlled multimodal UV-VIS hyperspectral imaging system.Journal of biomedical optics · 2026Article
- Endoscopic multispectral imaging sensor systems for intraoperative tissue differentiation.Journal of biomedical optics · 2026Article
- Optical Spectroscopy and Spectral Imaging for Bladder Cancer Detection and Characterisation: A Scoping Review of Diagnostic Evidence and Translational Readiness.Diagnostics (Basel, Switzerland) · 2026Review
- Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis.Nature biomedical engineering · 2026Article
- AI learns across species to address human clinical imaging data sparsity.Nature biomedical engineering · 2026Article
- HyKey: hyperspectral keypoint detection and matching in minimally invasive surgery.International journal of computer assisted radiology and surgery · 2026Article
- Intraoperative Hyperspectral Imaging for Perfusion Assessment and Emerging Decision Support in Abdominal Surgery: A Systematic Review of Clinical Studies.Diagnostics (Basel, Switzerland) · 2026Review
- Green channel-informed collaborative filtering for high-fidelity laser speckle contrast imaging in dual-display laparoscopy.Biomedical optics express · 2026Article
- Neural illumination calibration for surgical workflow-optimized spectral imaging.International journal of computer assisted radiology and surgery · 2026Article
- From Image-Guided Surgery to Computer-Assisted Real-Time Diagnosis with Hyperspectral and Multispectral Imaging: A Systematic Review in Gynecologic Oncology.Diagnostics (Basel, Switzerland) · 2026Review
- Design and Characterization of a Hyperspectral Colposcope Based on Dual-LCTF VNIR Narrow-Band Illumination.Sensors (Basel, Switzerland) · 2026Article
- HMI-LUSC: A Histological Hyperspectral Imaging Dataset for Lung Squamous Cell Carcinoma.Scientific data · 2026Article
- Learning to simulate realistic human diffuse reflectance spectra.Journal of biomedical optics · 2026Article
- Challenges and Prospects of Using Novel Nonlinear Effects in Multimode Optical Fibers for Multiphoton Endomicroscopy.Diagnostics (Basel, Switzerland) · 2026Review
- Article
- Advanced Image-Guidance and Surgical-Navigation Techniques for Real-Time Visualized Surgery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
23 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Recent technological developments have resulted in the availability of miniaturised spectral imaging sensors capable of operating in the multi- (MSI) and hyperspectral imaging (HSI) regimes. Simultaneous advances in image-processing techniques and artificial intelligence (AI), especially in machine learning and deep learning, have made these data-rich modalities highly attractive as a means of extracting biological information non-destructively. Surgery in particular is poised to benefit from this, as spectrally-resolved tissue optical properties can offer enhanced contrast as well as diagnostic and guidance information during interventions. This is particularly relevant for procedures where inherent contrast is low under standard white light visualisation. This review summarises recent work in surgical spectral imaging (SSI) techniques, taken from Pubmed, Google Scholar and arXiv searches spanning the period 2013-2019. New hardware, optimised for use in both open and minimally-invasive surgery (MIS), is described, and recent commercial activity is summarised. Computational approaches to extract spectral information from conventional colour images are reviewed, as tip-mounted cameras become more commonplace in MIS. Model-based and machine learning methods of data analysis are discussed in addition to simulation, phantom and clinical validation experiments. A wide variety of surgical pilot studies are reported but it is apparent that further work is needed to quantify the clinical value of MSI/HSI. The current trend toward data-driven analysis emphasises the importance of widely-available, standardised spectral imaging datasets, which will aid understanding of variability across organs and patients, and drive clinical translation.
Indexed as
Identifiers
What Socratic 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 Socratic graph.