Evidence map›Paper›PMID 38638503›Full record

ArticleHealthcare technology letters

Towards navigation in endoscopic kidney surgery based on preoperative imaging.

Ayberk Acar, Daiwei Lu, Yifan Wu, Ipek Oguz, Nicholas Kavoussi, Jie Ying Wu

Open access · goldAbstract read
In one paragraph

Article in Healthcare technology letters. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.Proceedings of SPIE--the International Society for Optical Engineering · 2025
    Article
  2. 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

6 authors at 2 institutions in 1 country.

Ayberk AcarDepartment of Computer Science Vanderbilt University Nashville Tennessee USA.ORCID https://orcid.org/0009-0002-0243-530X
Daiwei LuDepartment of Computer Science Vanderbilt University Nashville Tennessee USA.ORCID https://orcid.org/0000-0001-6693-4445
Yifan WuDepartment of Computer Science Vanderbilt University Nashville Tennessee USA.
Ipek OguzDepartment of Computer Science Vanderbilt University Nashville Tennessee USA.
Nicholas KavoussiDepartment of Urology Vanderbilt University Medical Center Nashville Tennessee USA.
Jie Ying WuDepartment of Computer Science Vanderbilt University Nashville Tennessee USA.
Vanderbilt University · USVanderbilt University Medical Center · US

Funding

A Navigational System for Endoscopic Kidney Stone SurgeryR21DK133742 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KAVOUSSI, NICHOLAS L, OGUZ, IPEK · 2023 to 2024
$452k
NIDDK NIH HHS R21 DK133742
6 · The paper itself

Abstract

Endoscopic renal surgeries have high re-operation rates, particularly for lower volume surgeons. Due to the limited field and depth of view of current endoscopes, mentally mapping preoperative computed tomography (CT) images of patient anatomy to the surgical field is challenging. The inability to completely navigate the intrarenal collecting system leads to missed kidney stones and tumors, subsequently raising recurrence rates. A guidance system is proposed to estimate the endoscope positions within the CT to reduce re-operation rates. A Structure from Motion algorithm is used to reconstruct the kidney collecting system from the endoscope videos. In addition, the kidney collecting system is segmented from CT scans using 3D U-Net to create a 3D model. The two collecting system representations can then be registered to provide information on the relative endoscope position. Correct reconstruction and localization of intrarenal anatomy and endoscope position is demonstrated. Furthermore, a 3D map is created supported by the RGB endoscope images to reduce the burden of mental mapping during surgery. The proposed reconstruction pipeline has been validated for guidance. It can reduce the mental burden for surgeons and is a step towards the long-term goal of reducing re-operation rates in kidney stone surgery.

Indexed as

endoscopesimage reconstructionkidneysurgery

Identifiers

PMID38638503
PMCPMC11022214
OpenAlexW4389737887

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.