Evidence map›Paper›PMID 32397580›Full record

ArticleMicromachines2020

Large-Field-of-View Visualization with Small Blind Spots Utilizing Tilted Micro-Camera Array for Laparoscopic Surgery.

Alex J Watras, Jae-Jun Kim, Jianwei Ke, Hewei Liu, Jacob A Greenberg, Charles P Heise, Yu Hen Hu, Hongrui Jiang

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Alex J WatrasDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-0861-1781
Jae-Jun KimDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-0722-3402
Jianwei KeDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.
Hewei LiuDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0002-2977-1349
Jacob A GreenbergDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Charles P HeiseDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI 53792, USA.
Yu Hen HuDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0003-3427-0677
Hongrui JiangDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA.ORCID 0000-0001-8468-5454
University of Wisconsin–Madison · US

Funding

EasyVis: laparoscopic surgical visualization through an untethered, panoramic, three-dimensional imaging systemR01EB019460 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI HEISE, CHARLES P, JIANG, HONGRUI · 2015 to 2024
$3.2M
NIBIB NIH HHS R01 EB019460NIBIB NIH HHS R01EB019460
6 · The paper itself

Abstract

Existing laparoscopic surgery systems use a single laparoscope to visualize the surgical area with a limited field of view (FoV), necessitating maneuvering the laparoscope to search a target region. In some cases, the laparoscope needs to be moved from one surgical port to another one to detect target organs. These maneuvers would cause longer surgical time and degrade the efficiency of operation. We hypothesize that if an array of cameras can be deployed to provide a stitched video with an expanded FoV and small blind spots, the time required to perform multiple tasks at different sites can be significantly reduced. We developed a micro-camera array that can enlarge the FoV and reduce blind spots between the cameras by optimizing the angle of cameras. The video stream of this micro-camera array was designed to be processed in real-time to provide a stitched video with the expanded FoV. We mounted this micro-camera array to a Fundamentals of Laparoscopic Surgery (FLS) laparoscopic trainer box and designed an experiment to validate the hypothesis above. Surgeons, residents, and a medical student were recruited to perform a modified bean drop task, and the completion time was compared against that measured using a traditional single-camera laparoscope. It was observed that utilizing the micro-camera array, the completion time of the modified bean drop task was 203 ± 55 s while using the laparoscope, the completion time was 245 ± 114 s, with a

Indexed as

bean drop tasklaparoscopylarge field of viewminiaturized camerassmall blind spots

Identifiers

PMID32397580
PMCPMC7281158
OpenAlexW3022062196

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.