Evidence map›Paper›PMID 38632032›Full record

ArticleHPB : the official journal of the International Hepato Pancreato Biliary Association2024

Reproducibility and efficiency of liver volumetry using manual method and liver analysis software.

Harufumi Maki, Yujiro Nishioka, Antony Haddad, Mateo Lendoire, Hop S Tran Cao, Yun S Chun, Ching-Wei D Tzeng, Jean-Nicolas Vauthey, Timothy E Newhook

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in HPB : the official journal of the International Hepato Pancreato Biliary Association, 2024. 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
0.8field-weighted citation impact, top 29% 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, 2 citations in OpenAlex.

  1. Article
  2. Review
  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

9 authors at 1 institution in 1 country.

Harufumi MakiDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yujiro NishiokaDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Antony HaddadDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Mateo LendoireDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hop S Tran CaoDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Yun S ChunDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ching-Wei D TzengDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jean-Nicolas VautheyDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Timothy E NewhookDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: TNewhook@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundFor liver volumetry, manual tracing on computed tomography (CT) images is time-consuming and operator dependent. To overcome these disadvantages, several three-dimensional simulation software programs have been developed; however, their efficacy has not fully been evaluated.

methodsThree physicians performed liver volumetry on preoperative CT images on 30 patients who underwent formal right hepatectomy, using manual tracing volumetry and two simulation software programs, SYNAPSE and syngo.via. The future liver remnant (FLR) was calculated using each method of volumetry. The primary endpoint was reproducibility and secondary outcomes were calculation time and learning curve.

resultsThe mean FLR was significantly lower for manual volumetry than for SYNAPSE or syngo.via; there was no significant difference in mean FLR between the two software-based methods. Reproducibility was lower for the manual method than for the software-based methods. Mean calculation time was shortest for SYNAPSE. For the two physicians unfamiliar with the software, no obvious learning curve was observed for using SYNAPSE, whereas learning curves were observed for using syngo.via.

conclusionsLiver volumetry was more reproducible and faster with three-dimensional simulation software, especially SYNAPSE software, than with the conventional manual tracing method. Software can help even inexperienced physicians learn quickly how to perform liver volumetry.

Indexed as

HepatectomyImaging, Three-DimensionalLiverRadiographic Image Interpretation, Computer-AssistedSoftwareAdultAgedAged, 80 and overFemaleHumansLearning CurveLiver NeoplasmsMaleMiddle AgedObserver VariationOrgan Size

Identifiers

PMID38632032
PMCPMC11753197
OpenAlexW4393059577

What OpenQuestion holds

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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.