University of Oulu

Evgenii Zherebtsov, Andrian Mamoshin, Valery Shupletsov, Elena Potapova, Ksenia Kandurova, Viktor Dremin, Andrey Dunaev, "Optical needle biopsy for multimodal detection of the malignant liver tumours," Proc. SPIE 12147, Tissue Optics and Photonics II, 121470J (19 May 2022);

Optical needle biopsy for multimodal detection of the malignant liver tumours

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Author: Zherebtsov, Evgenii1,2; Potapova, Elena1; Shupletsov, Valery1;
Organizations: 1Research and Development Center of Biomedical Photonics, Orel State University, Russia
2Optoelectronics and Measurement Techniques unit, University of Oulu, Oulu, Finland
3College of Engineering and Physical Sciences, Aston University, Birmingham, UK
4Orel Regional Clinical Hospital, Orel, Russia
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: SPIE, 2022
Publish Date: 2023-04-03


At the moment, percutaneous needle biopsy (PNB) remains the gold standard for diagnosing liver cancer. However, the relatively high probability of false-negative results can still be an issue with the method. The introduction of real-time feedback for the precise navigation of the biopsy tool is an up-and-coming technology to immensely reduce the mistakes in taking relevant tissue samples. This work presents the technical details of the developed optical biopsy system, which implements fluorescence lifetime and diffuse reflectance measurements. Also, we demonstrate the most recent results of measurements by the system equipped with a novel needle optical probe, compatible with the 17.5G biopsy needle standard. At the first stage, measurements were verified in the murine model with inoculated hepatocellular carcinoma (HCC). With that model, we demonstrate that the registered set of independent diagnostic parameters allows us to reliably distinguish the HCC tissue, liver tissue in the control and the metabolically changed liver tissues of animals with the developed HCC tumour. At the second stage, the optical biopsy system was tested during the routing procedure of the transcutaneous biopsy in humans with suspected cancerous processes in the liver. Our results demonstrate that the developed technique can reliably discriminate malignant tumours of different nature (primary HCC and adenocarcinoma metastasis) from liver tissues. We conclude that, being supported by machine learning approaches, the presented technique can significantly decrease the rate of false-negative results for transcutaneous biopsy.

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Series: Proceedings of SPIE
ISSN: 0277-786X
ISSN-E: 1996-756X
ISSN-L: 0277-786X
ISBN: 978-1-5106-5171-5
ISBN Print: 978-1-5106-5170-8
Article number: 121470J
DOI: 10.1117/12.2622376
Host publication: Tissue Optics and Photonics II
Conference: Tissue Optics and Photonics II
Type of Publication: A4 Article in conference proceedings
Field of Science: 217 Medical engineering
Funding: The study was supported by the Russian Science Foundation (project 21-15-00325).
Copyright information: © 2022 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.