Evidence map›Paper›PMID 41491910›Full record

ArticleSurgical endoscopy2026

Intraoperative real-time display of 3D reconstruction models in robot-assisted partial nephrectomy.

Shunsuke Miyamoto, Hiroyuki Shikuma, Ryo Tasaka, Yuki Kohada, Kenshiro Takemoto, Miki Naito, Kohei Kobatake, Yohei Sekino, Hiroyuki Kitano, Kenichiro Ikeda and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Surgical endoscopy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Impact of three-dimensional reconstruction in preoperative planning for partial nephrectomy: A prospective study.Indian journal of urology : IJU : journal of the Urological Society of India
    Article
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

15 authors.

Shunsuke MiyamotoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan. sm0025@hiroshima-u.ac.jp.ORCID 0000-0001-8397-115X
Hiroyuki ShikumaDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Ryo TasakaDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Yuki KohadaDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Kenshiro TakemotoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Miki NaitoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Kohei KobatakeDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Yohei SekinoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Hiroyuki KitanoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Kenichiro IkedaDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Keisuke GotoDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Akihiro GorikiDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Keisuke HiedaDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Tetsutaro HayashiDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Nobuyuki HinataDepartment of Urology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minamiku, Hiroshima, 734-8551, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRobot-assisted partial nephrectomy (RAPN) is a widely used technique for treating renal tumors. However, accurate identification of tumor locations and precise surgical planning remain challenging, particularly in cases with complex anatomy or tumors in difficult-to-reach areas. This study evaluated the usefulness of intraoperative real-time 3D reconstruction models for RAPN.

methodsWe analyzed the data of 57 patients who underwent RAPN using 3D reconstruction models (3D-R group) and 173 patients who underwent RAPN without these models (control group). The models were generated from the preoperative Computed tomography images and displayed on a monitor in the operating room to plan surgical approaches and guide tumor dissection. Propensity score matching was performed to compare the surgical outcomes between the two groups.

resultsThe use of real-time 3D reconstruction models significantly improved surgical outcomes in the propensity score-matched cohort. The ischemia time was shorter in the 3D-R RAPN group than in the control group (p = 0.019). Significantly fewer overall and major complications were observed in the 3D-R RAPN group (p = 0.023 and p = 0.041, respectively). Additionally, the 3D-R RAPN group achieved the trifecta status at a significantly higher rate than the control group (p = 0.005).

conclusions3D reconstruction models are valuable tools for guiding RAPN, leading to shorter warm ischemia times, fewer complications, and a higher trifecta achievement rate, thereby enhancing the overall quality of care of patients undergoing RAPN.

Indexed as

Imaging, Three-DimensionalKidney NeoplasmsNephrectomyRobotic Surgical ProceduresAgedFemaleHumansMaleMiddle AgedPropensity ScoreRetrospective StudiesTomography, X-Ray ComputedTreatment Outcome3D reconstruction modelPartial nephrectomyRAPNRenal cell carcinomaTrifecta status

Identifiers

PMID41491910
PMCPMC12881061

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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.