Evidence map›Paper›PMID 40772061›Full record

SynthesisJournal of biomedical optics2025

Hyperspectral imaging for tumor resection guidance in surgery: a systematic review of preclinical and clinical studies.

Antonio Composto, Laura Privitera, Martina Riva, Benedetto Ardini, Cristian Manzoni, Marco Riva, Kristian Aquilina, Gianluca Valentini, Stefano Giuliani

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of biomedical optics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
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

9 authors.

Antonio CompostoHumanitas University, Department of Biomedical Sciences, Pieve Emanuele, Italy.ORCID 0000-0001-8041-899X
Laura PriviteraUCL Great Ormond Street Institute of Child Health, Cancer Section, Developmental Biology and Cancer Programme, London, United Kingdom.ORCID 0000-0002-6384-6367
Martina RivaPolitecnico di Milano, Department of Physics, Milan, Italy.ORCID 0009-0000-9176-1734
Benedetto ArdiniPolitecnico di Milano, Department of Physics, Milan, Italy.
Cristian ManzoniIstituto di Fotonica e Nanotecnologie-Consiglio Nazionale delle Ricerche (IFN-CNR), Milan, Italy.
Marco RivaHumanitas University, Department of Biomedical Sciences, Pieve Emanuele, Italy.ORCID 0000-0003-4643-6451
Kristian AquilinaGreat Ormond Street Hospital for Children NHS Trust, Department of Neurosurgery, London, United Kingdom.
Gianluca ValentiniPolitecnico di Milano, Department of Physics, Milan, Italy.ORCID 0000-0002-6340-3021
Stefano GiulianiUCL Great Ormond Street Institute of Child Health, Cancer Section, Developmental Biology and Cancer Programme, London, United Kingdom.ORCID 0000-0002-4555-3093

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Hyperspectral imaging (HSI) is a promising real-time, non-invasive, non-ionizing optical imaging technique. In surgical oncology, HSI can capture both structural and functional tissue information, allowing the characterization of tumor lesions both intraoperatively and on a histopathological level. Aim: We review the latest technological and clinical advancements of HSI as a guidance tool for tumor resection. Approach: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we systematically searched MEDLINE, Embase, and Web of Science using logical keyword combinations related to "hyperspectral imaging" and "surgical oncology." Eighty-five articles published between January 1, 2014, and April 30, 2024, were selected based on predefined inclusion and exclusion criteria. Technical and clinical data were extracted and analyzed. Results: The reviewed studies include preclinical and clinical investigations involving various tumor models and 2163 patients, including 24 pediatric cases. HSI has demonstrated broad applicability across various anatomical regions in both Conclusions: HSI remains in its early technological stages, requiring high-quality evidence and multidisciplinary collaboration to support clinical adoption. A deeper understanding and improved characterization of biological tissue hyperspectral properties are essential to better inform and orient future hardware and software designs.

Indexed as

Hyperspectral ImagingNeoplasmsSurgery, Computer-AssistedAnimalsHumansartificial intelligencefluorescencehyperspectral imagingimage-guided surgeryoptical biopsysurgical oncology

Identifiers

PMID40772061
PMCPMC12327654

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Registered trials

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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.