Evidence map›Paper›PMID 42573443›Full record

ReviewThe international journal of medical robotics + computer assisted surgery : MRCAS2026

Colour-Guided Surgery: A Conceptual Framework for Multimodal Intraoperative Visualisation-A Narrative Review.

Takashi Nonaka, Shintaro Hashimoto, Tetsuro Tominaga, Mariko Yamashita, Hiroki Katayama, Yuma Takamura, Syun Yamaguchi, Toshiyuki Adachi, Yusuke Inoue, Keitaro Matsumoto

Abstract readReview
In one paragraph

Review in The international journal of medical robotics + computer assisted surgery : MRCAS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

10 authors.

Takashi NonakaDepartment of Surgery, Colorectal Surgery, Nagasaki University Hospital, Nagasaki, Japan.
Shintaro HashimotoDepartment of Surgery, Colorectal Surgery, Nagasaki University Hospital, Nagasaki, Japan.
Tetsuro TominagaDepartment of Surgery, Colorectal Surgery, Nagasaki University Hospital, Nagasaki, Japan.ORCID https://orcid.org/0000-0001-9429-3227
Mariko YamashitaDepartment of Surgery, Colorectal Surgery, Nagasaki University Hospital, Nagasaki, Japan.
Hiroki KatayamaDepartment of Surgery, Colorectal Surgery, Nagasaki University Hospital, Nagasaki, Japan.
Yuma TakamuraDepartment of Surgery, Colorectal Surgery, Nagasaki University Hospital, Nagasaki, Japan.
Syun YamaguchiDepartment of Surgery, Colorectal Surgery, Nagasaki University Hospital, Nagasaki, Japan.
Toshiyuki AdachiDepartment of Surgery, Colorectal Surgery, Nagasaki University Hospital, Nagasaki, Japan.
Yusuke InoueDepartment of Surgery, Colorectal Surgery, Nagasaki University Hospital, Nagasaki, Japan.
Keitaro MatsumotoDivision of Surgical Oncology, Department of Surgery, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.ORCID https://orcid.org/0000-0002-4344-2322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntraoperative imaging has evolved beyond white-light visualisation to include fluorescence imaging, colour enhancement, artificial intelligence (AI), and molecular-targeted imaging. However, these modalities are typically used independently.

methodsThis narrative review synthesises current multimodal intraoperative imaging and presents representative clinical images and conceptual illustrations to demonstrate complementary visual information.

resultsWhite-light imaging provides anatomical context; colour enhancement improves tissue contrast; fluorescence imaging adds functional information; AI supports real-time recognition; and molecular imaging enables biologically specific visualisation. These modalities collectively form layered visual information that enhances intraoperative understanding.

conclusionsColour-guided surgery is proposed as a conceptual framework integrating multimodal imaging into a unified intraoperative guidance system and may provide a conceptual basis for future evaluation of multimodal intraoperative guidance in robotic and minimally invasive surgery.

Indexed as

Multimodal ImagingSurgery, Computer-AssistedArtificial IntelligenceColorHumansMinimally Invasive Surgical ProceduresMolecular ImagingOptical ImagingRobotic Surgical Proceduresartificial intelligencecolour‐guided surgeryfluorescence‐guided surgeryintraoperative guidancemolecular imagingmultimodal imaging

Identifiers

PMID42573443
PMCPMC13455773

What OpenQuestion holds

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Registered trials

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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.