Evidence map›Paper›PMID 32277107›Full record

ArticleScientific reports2020

Initial Report: A Novel Intraoperative Navigation System for Laparoscopic Liver Resection Using Real-Time Virtual Sonography.

Koichiro Sakata, Taiki Kijima, Osamu Arai

Open access · goldAbstract readCase Reports
In one paragraph

Article in Scientific reports, 2020. 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
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
  2. Article
  3. History of liver surgery.Clinical liver disease
    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

3 authors at 3 institutions in 1 country.

Koichiro SakataJapan Seafares Relief Association Ekisaikai Moji Hospital 1-3-1 Kiyotaki Mojiku Kitakyushu, Fukuoka, 801-8505, Japan. atak51ks331007@gmail.com.ORCID http://orcid.org/0000-0001-5059-938X
Taiki KijimaJCHO Shimonoseki Medical Centre, 3-3-8 kamishinchi-machi, Shimonoseki, Yamaguchi, 083-231-5811, Japan.
Osamu AraiHitachi, Ltd. Healthcare Business Unit, 3-1-1, Higashikoigakubo, Kokubunji-shi, Tokyo, 185-0014, Japan.ORCID http://orcid.org/0000-0003-1128-1226
Hitachi (Japan) · JPShimonoseki City Hospital · JPUniversity of East Asia · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent progress in navigation has revealed problems involving non-rigid registration for hepatic surgery. With the increasing popularity of laparoscopic liver surgery, a new laparoscopic navigation system is necessary. This study involved an in-vitro demonstration of a 3-dimensional printer model and in vivo demonstration in four patients. For the in vitro examination, a position detecting unit attached at 33 cm and 13 cm distance conditions from the tip of the electrocautery was examined eight times at the marked points on the liver surface eight times respectively. The differences between the simulation and the authentic dissecting plane were conventionally investigated in vivo. In vitro, the errors of the 33 cm and 13 cm distance model were7.8 ± 3.5 mm (mean ± SD), and 3.3 ± 1.0 mm, respectively. The mean differences of the dissection plane were within 10 mm. The potentiality and safety of the novel navigation system was confirmed, although further investigation is recommended.

Indexed as

Imaging, Three-DimensionalAgedFeasibility StudiesFemaleHepatectomyHumansLaparoscopyLiverMaleModels, AnatomicPrinting, Three-DimensionalReproducibility of ResultsSurgery, Computer-AssistedUltrasonography

Identifiers

PMID32277107
PMCPMC7148355
OpenAlexW3015271581

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.