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

Composto A, Privitera L, Riva M, Ardini B, Manzoni C, Riva M, Aquilina K, Valentini G et al.

Journal of biomedical optics, 2025

2,163 participants · 10 citations

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…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 2,163 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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