<abstract xmlns="http://www.w3.org/1999/xhtml">

<sec id="j_raon-2022-0051_s_005"><h3>Background</h3>
<p>Hyperspectral imaging (HSI) is a promising imaging modality that uses visible light to obtain information about blood flow. It has the distinct advantage of being noncontact, nonionizing, and noninvasive without the need for a contrast agent. Among the many applications of HSI in the medical field are the detection of various types of tumors and the evaluation of their blood flow, as well as the healing processes of grafts and wounds. Since tumor perfusion is one of the critical factors in oncology, we assessed the value of HSI in quantifying perfusion changes during interventions in clinical oncology through a systematic review of the literature.</p></sec>
<sec id="j_raon-2022-0051_s_006"><h3>Materials and methods</h3>
<p>The PubMed and Web of Science electronic databases were searched using the terms “hyperspectral imaging perfusion cancer” and “hyperspectral imaging resection cancer”. The inclusion criterion was the use of HSI in clinical oncology, meaning that all animal, phantom, <italic>ex vivo</italic>, experimental, research and development, and purely methodological studies were excluded.</p></sec>
<sec id="j_raon-2022-0051_s_007"><h3>Results</h3>
<p>Twenty articles met the inclusion criteria. The anatomic locations of the neoplasms in the selected articles were as follows: kidneys (1 article), breasts (2 articles), eye (1 article), brain (4 articles), entire gastrointestinal (GI) tract (1 article), upper GI tract (5 articles), and lower GI tract (6 articles).</p></sec>
<sec id="j_raon-2022-0051_s_008"><h3>Conclusions</h3>
<p>HSI is a potentially attractive imaging modality for clinical application in oncology, with assessment of mastectomy skin flap perfusion after reconstructive breast surgery and anastomotic perfusion during reconstruction of gastrointenstinal conduit as the most promising at present.</p></sec>
</abstract>

Background
Hyperspectral imaging (HSI) is a promising imaging modality that uses visible light to obtain information about blood flow. It has the distinct advantage of being noncontact, nonionizing, and noninvasive without the need for a contrast agent. Among the many applications of HSI in the medical field are the detection of various types of tumors and the evaluation of their blood flow, as well as the healing processes of grafts and wounds. Since tumor perfusion is one of the critical factors in oncology, we assessed the value of HSI in quantifying perfusion changes during interventions in clinical oncology through a systematic review of the literature.
Materials and methods
The PubMed and Web of Science electronic databases were searched using the terms “hyperspectral imaging perfusion cancer” and “hyperspectral imaging resection cancer”. The inclusion criterion was the use of HSI in clinical oncology, meaning that all animal, phantom, ex vivo, experimental, research and development, and purely methodological studies were excluded.
Results
Twenty articles met the inclusion criteria. The anatomic locations of the neoplasms in the selected articles were as follows: kidneys (1 article), breasts (2 articles), eye (1 article), brain (4 articles), entire gastrointestinal (GI) tract (1 article), upper GI tract (5 articles), and lower GI tract (6 articles).
Conclusions
HSI is a potentially attractive imaging modality for clinical application in oncology, with assessment of mastectomy skin flap perfusion after reconstructive breast surgery and anastomotic perfusion during reconstruction of gastrointenstinal conduit as the most promising at present.

Imaging perfusion changes in oncological clinical applications by hyperspectral imaging: a literature review

Radiology and Oncology

This work is licensed under the Creative Commons Attribution 4.0 International License.

Background
Hyperspectral imaging (HSI) is a promising imaging modality that uses visible light to obtain information about blood flow. It has the distinct...

Imaging perfusion changes in oncological clinical applications by hyperspectral imaging: a literature review

Article Category: review

Publié en ligne: 13 déc. 2022

Pages: 420 - 429

Reçu: 27 oct. 2022

Accepté: 02 nov. 2022

DOI: https://doi.org/10.2478/raon-2022-0051

© 2022 Rok Hren, Gregor Sersa, Urban Simoncic, Matija Milanic, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.