Evidence map›Paper›PMID 41306989›Full record

ArticleBiomedical optics express2025

Laparoscopic near-infrared hyperspectral imaging system for identifying living porcine nerves and unexposed arteries.

Toshihiro Takamatsu, Seiya Hayashi, Nariaki Okamoto, Shintaro Arakaki, Abián Guedes Hernández, Nobuyoshi Takeshita, Hiro Hasegawa, Hideo Yokota, Kohei Soga, Gustavo Marrero Callico and 1 more

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Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Toshihiro TakamatsuHealth and Medical Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0001-7520-089X
Seiya HayashiDepartment of Mechanical and Aerospace Engineering, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba, Japan.
Nariaki OkamotoDepartment of Colorectal Surgery, National Cancer Center Hospital East, Chiba, Japan.
Shintaro ArakakiDepartment of Colorectal Surgery, National Cancer Center Hospital East, Chiba, Japan.
Abián Guedes HernándezInstitute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
Nobuyoshi TakeshitaDepartment of the Promotion of Medical Device Innovation, National Cancer Center Hospital East, Chiba, Japan.
Hiro HasegawaDepartment of Colorectal Surgery, National Cancer Center Hospital East, Chiba, Japan.
Hideo YokotaRIKEN Center for Advanced Photonics, Wako, Saitama, Japan.
Kohei SogaDepartment of Materials Science and Technology, Faculty of Advanced Engineering, Tokyo University of Science, Tokyo University of Science, Katsushika-ku, Tokyo, Japan.
Gustavo Marrero CallicoInstitute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.ORCID https://orcid.org/0000-0002-3784-5504
Hiroshi TakemuraDepartment of Mechanical and Aerospace Engineering, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical resection remains a key curative option for cancer, with minimally invasive approaches increasingly adopted. To enhance intraoperative visualization, we developed a laparoscopic near-infrared hyperspectral imaging (NIR-HSI) system comprising a custom laparoscope, supercontinuum light source, and acousto-optic tunable filter. Ex vivo NIR-HSI of porcine arteries, mesentery, and nerves revealed distinct spectral signatures from 1000-1402 nm. Pixel-based classification via neural networks achieved >99% accuracy, sensitivity, and specificity in most cases. In vivo imaging of a living pig enabled identification of exposed nerves (88.4% accuracy, 68.7% recall) and unexposed arteries (83.2% accuracy, 60.2% recall). These results demonstrate that laparoscopic NIR-HSI can differentiate tissues with similar coloration and detect structures embedded beneath the surface, offering potential for safer minimally invasive surgeries.

Identifiers

PMID41306989
PMCPMC12646047

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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.