Evidence map›Paper›PMID 30859757›Full record

SynthesisJournal of biophotonics2019

Intraoperative multispectral and hyperspectral label-free imaging: A systematic review of in vivo clinical studies.

Jonathan Shapey, Yijing Xie, Eli Nabavi, Robert Bradford, Shakeel R Saeed, Sebastien Ourselin, Tom Vercauteren

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of biophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Hyperspectral Imaging and the Retina: Worth the Wave?Translational vision science & technology · 2020
    Pooled it
  4. Article
  5. Neural illumination calibration for surgical workflow-optimized spectral imaging.International journal of computer assisted radiology and surgery · 2026
    Article
  6. Review
  7. Article
  8. Article
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  11. LED-based, real-time, hyperspectral imaging device.Journal of medical imaging (Bellingham, Wash.) · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jonathan ShapeyWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, UK.ORCID 0000-0003-0291-348X
Yijing XieWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, UK.
Eli NabaviWellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, UK.
Robert BradfordDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Shakeel R SaeedDepartment of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, UK.
Sebastien OurselinSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Tom VercauterenSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Funding

Engineering and Physical Sciences Research Council NS/A000050/1National Brain Appeal NBA/T&I/N-ONCWellcome Trust 106882Wellcome Trust 203145Wellcome Trust 203145Z/16/ZWellcome Trust WT106882
6 · The paper itself

Abstract

Multispectral and hyperspectral imaging (HSI) are emerging optical imaging techniques with the potential to transform the way surgery is performed but it is not clear whether current systems are capable of delivering real-time tissue characterization and surgical guidance. We conducted a systematic review of surgical in vivo label-free multispectral and HSI systems that have been assessed intraoperatively in adult patients, published over a 10-year period to May 2018. We analysed 14 studies including 8 different HSI systems. Current in-vivo HSI systems generate an intraoperative tissue oxygenation map or enable tumour detection. Intraoperative tissue oxygenation measurements may help to predict those patients at risk of postoperative complications and in-vivo intraoperative tissue characterization may be performed with high specificity and sensitivity. All systems utilized a line-scanning or wavelength-scanning method but the spectral range and number of spectral bands employed varied significantly between studies and according to the system's clinical aim. The time to acquire a hyperspectral cube dataset ranged between 5 and 30 seconds. No safety concerns were reported in any studies. A small number of studies have demonstrated the capabilities of intraoperative in-vivo label-free HSI but further work is needed to fully integrate it into the current surgical workflow.

Indexed as

Optical ImagingOxygen ConsumptionAdultHumansIntraoperative PeriodNeoplasmsOptics and PhotonicsOxygenQuality ControlReproducibility of ResultsSurgical OncologyTreatment OutcomeOxygenhyperspectral imagingmultispectral imagingsurgery

Identifiers

PMID30859757
PMCPMC6736677

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.