Evidence map›Paper›PMID 42671671›Full record

ArticleJournal of robotic surgery2026

Three-dimensional image guidance using instrument tracking facilitates intraoperative resection-line determination during robot-assisted partial nephrectomy.

Keiji Tsukino, Satoshi Kobayashi, Mikifumi Koura, Dai Takamatsu, Shohei Nagakawa, Shigehiro Tsukahara, Tokiyoshi Tanegashima, Takashi Matsumoto, Masaki Shiota, Eiji Oki and 1 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 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

11 authors.

Keiji TsukinoDepartment of Urology, Kyushu University, Fukuoka, Japan. tsukino.keiji.754@m.kyushu-u.ac.jp.ORCID https://orcid.org/0009-0002-2955-6849
Satoshi KobayashiDepartment of Urology, Kyushu University, Fukuoka, Japan.
Mikifumi KouraDepartment of Urology, Kyushu University, Fukuoka, Japan.
Dai TakamatsuDepartment of Urology, Kyushu University, Fukuoka, Japan.
Shohei NagakawaDepartment of Urology, Kyushu University, Fukuoka, Japan.
Shigehiro TsukaharaDepartment of Urology, Kyushu University, Fukuoka, Japan.
Tokiyoshi TanegashimaDepartment of Urology, Kyushu University, Fukuoka, Japan.
Takashi MatsumotoDepartment of Urology, Kyushu University, Fukuoka, Japan.
Masaki ShiotaDepartment of Urology, Kyushu University, Fukuoka, Japan.
Eiji OkiDepartment of Advanced Medicine and Innovative Technology, Kyushu University Hospital, Fukuoka, Japan.
Masatoshi EtoDepartment of Urology, Kyushu University, Fukuoka, Japan.

Funding

Japanese Society of Endourology and Robotics Grant A (2024)Japanese Society of Endourology and Robotics Grant B (2023)Japan Society for the Promotion of Science JP23K19219, JP25K15937
6 · The paper itself

Abstract

Resection-line planning during robot-assisted partial nephrectomy (RAPN) requires accurate tumor localization while preserving normal renal parenchyma. We developed a three-dimensional image-guided (3D-IG) system that displays a patient-specific 3D kidney model together with the real-time position of the surgical instrument tip. This retrospective comparative study evaluated the initial clinical implementation of 3D-IG in RAPN. Ten consecutive patients with moderate- to high-complexity renal tumors who underwent RAPN using 3D-IG between February and June 2025 were compared with ten randomly selected historical controls with a matching R.E.N.A.L. (R = tumor radius, E = exophytic/endophytic properties, N = nearness of tumor to the collecting system or sinus, A = anterior/posterior, L = location relative to polar line) nephrometry score range who underwent conventional ultrasound (US)-guided RAPN in 2024. Resection-line marking time was significantly shorter in the 3D-IG group than in the US group (77 vs. 282 s, p < 0.001), as was resection-line localization time (25 vs. 125 s, p < 0.001). Electrocautery activation events during marking were also fewer in the 3D-IG group (16 vs. 39, p < 0.001). Even after including routine US confirmation performed for safety in the 3D-IG group, total planning time remained comparable between groups (207 vs. 282 s, p = 0.226). Pathological margin width did not differ significantly between groups, no positive surgical margins were observed, and perioperative and renal functional outcomes showed no apparent adverse signal. The 3D-IG system improved the efficiency of resection-line marking during RAPN while maintaining acceptable short-term surgical outcomes.

Indexed as

Imaging, Three-DimensionalKidney NeoplasmsNephrectomyRobotic Surgical ProceduresSurgery, Computer-AssistedAgedFemaleHumansKidneyMaleMiddle AgedRetrospective StudiesImaging, Three-dimensionalInstrument trackingKidney neoplasmsNephrectomyRobotic surgical proceduresSurgical navigation systems

Identifiers

PMID42671671

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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.