Composto, A;
Privitera, L;
Riva, M;
Ardini, B;
Manzoni, C;
Riva, M;
Aquilina, K;
... Giuliani, S; + view all
(2025)
Hyperspectral imaging for tumor resection guidance in surgery: a systematic review of preclinical and clinical studies.
Journal of Biomedical Optics
, 30
(S 2)
, Article S23909. 10.1117/1.JBO.30.S2.S23909.
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Hyperspectral imaging for tumor resection guidance in surgery a systematic review of preclinical and clinical studies.pdf - Published Version Download (32MB) | Preview |
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 ex vivo and in vivo settings, with its most valuable application being tumor tissue delineation. 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.
| Type: | Article |
|---|---|
| Title: | Hyperspectral imaging for tumor resection guidance in surgery: a systematic review of preclinical and clinical studies |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1117/1.JBO.30.S2.S23909 |
| Publisher version: | https://doi.org/10.1117/1.jbo.30.s2.s23909 |
| Language: | English |
| Additional information: | © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. [DOI: 10.1117/1.JBO.30.S2.S23909] |
| Keywords: | artificial intelligence, fluorescence, hyperspectral imaging, image-guided surgery, optical biopsy, surgical oncology, Humans, Neoplasms, Hyperspectral Imaging, Surgery, Computer-Assisted, Animals |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Biology and Cancer Dept UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Developmental Neurosciences Dept |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10213178 |
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