Evidence map›Paper›PMID 42690497›Full record

ArticleAnnals of surgical oncology2026

ICG Fluorescence-Guided Anatomical Navigation During Robotic Pancreatoduodenectomy: Pancreatic Head Arterial Landmarks and Jejunal Mesenteric Branching.

Masahiro Yamane, Kosuke Kobayashi, Atsushi Oba, Sho Kiritani, Hiromichi Ito, Yoshihiro Ono, Yosuke Inoue, Daisuke Ban, Yu Takahashi

Abstract read
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Article in Annals of surgical oncology, 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

9 authors.

Masahiro YamaneDivision of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Kosuke KobayashiDivision of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan. kosuke.kobayashi@jfcr.or.jp.
Atsushi ObaDivision of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Sho KiritaniDivision of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Hiromichi ItoDivision of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Yoshihiro OnoDivision of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Yosuke InoueDivision of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Daisuke BanDepartment of Hepatobiliary and Pancreatic Surgery, Institute of Science Tokyo, Tokyo, Japan.
Yu TakahashiDivision of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan. yu.takahashi@jfcr.or.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic pancreatoduodenectomy demands precise orientation during uncinate/mesopancreatic dissection around the superior mesenteric artery (SMA)/vein (SMV) axis, where neural and lymphatic plexus dissection is technically and oncologically important.

methodsThis video demonstrates indocyanine green (ICG) fluorescence-guided navigation at two demanding steps of robotic pancreatoduodenectomy using the da Vinci Xi Firefly system, with low-dose boluses (1.25-2.5 mg) followed by a rapid 10-20-mL saline flush.

Indexed as

Dorsal pancreatic arteryFluorescence imagingIndocyanine greenJejunal mesenteryMesopancreasRobotic pancreatoduodenectomy

Identifiers

PMID42690497

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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.