Evidence map›Paper›PMID 41049826›Full record

ArticleAsian journal of urology2025

Virtual-reality robot-assisted inferior vena cava thrombectomy using virtual vascular endoscopy to identify inferior vena cava invasion.

Qingbo Huang, Cheng Peng, Songliang Du, Xiaohui Ding, Chenfeng Wang, Kan Liu, Jialong Song, Xinran Chen, Fei Yan, Baojun Wang and 6 more

Abstract read
In one paragraph

Article in Asian journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

16 authors.

Qingbo HuangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Cheng PengDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Songliang DuDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Xiaohui DingDepartment of Pathology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Chenfeng WangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Kan LiuDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Jialong SongDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Xinran ChenDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Fei YanDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Baojun WangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Xeng Inn FamUrology Unit, Department of Surgery, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
David Wei LeeVR Doctor International Limited, Auckland, New Zealand.
Stewart Ping LeeVR Doctor International Limited, Auckland, New Zealand.
Haiyi WangDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Xu ZhangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.
Xin MaDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Partial or segmental inferior vena cava (IVC) resection is indicated for tumor control in patients with renal tumors invading the IVC. This study aimed to introduce a virtual vascular endoscope to assist surgeons in locating IVC invasion, formulate a surgical plan for robot-assisted IVC thrombectomy (RA-IVCT), and evaluate its potential value. Methods: The reconstruction involves building the construction of deep learning models to predict IVC invasion, which were evaluated via intraoperative findings and pathological analysis. Thirty-six patients with renal tumors and IVC thrombi who underwent RA-IVCT between June 2016 and March 2022 were included in the study. A virtual vascular endoscopy was performed based on preoperative CT findings to identify IVC invasion. Based on the extent of IVC wall invasion and the collateral situation, surgeons could decide whether to perform partial or segmental IVC resection during RA-IVCT. Results: Twenty patients were retrospectively analysed for training in virtual vascular endoscopy (the training cohort), and 16 patients were prospectively analysed to evaluate the accuracy of this technique (the validation cohort). Sixteen patients with IVC invasion underwent cavectomy, whereas six patients underwent partial IVC resection. In the validation cohort, pathological analysis confirmed the exact location of IVC invasion in eight of the nine patients, as indicated by virtual vascular endoscopy. Patients who underwent partial IVC wall resection had less lower extremity edema than those who underwent cavectomy. Conclusion: Our initial experience showed that the virtual vascular endoscopy could assist surgeons in identifying IVC invasion and creating a surgical plan for RA-IVCT.

Indexed as

LaparoscopyRenal cell carcinomaRoboticsThrombusVirtual reality

Identifiers

PMID41049826
PMCPMC12490690

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.