Evidence map›Paper›PMID 32724331›Full record

ArticleComputational and mathematical methods in medicine2020

Comparison of Common Methods for Precision Volume Measurement of Hematoma.

Minhong Chen, Zhong Li, Jianping Ding, Xingqi Lu, Yinan Cheng, Jiayun Lin

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 23 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

6 authors at 3 institutions in 1 country.

Minhong ChenCollege of Science, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China 310018.
Zhong LiCollege of Science, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China 310018.ORCID https://orcid.org/0000-0002-2730-6427
Jianping DingThe Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China 310015.
Xingqi LuThe Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China 310015.
Yinan ChengCollege of Science, Southern University of Science and Technology, Shenzhen, Guangdong, China 518055.
Jiayun LinCollege of Science, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China 310018.ORCID https://orcid.org/0000-0002-3382-2014
Zhejiang Sci-Tech University · CNAffiliated Hospital of Hangzhou Normal University · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOur aim is to conduct analysis and comparison of some methods commonly used to measure the volume of hematoma, for example, slice method, voxelization method, and 3D-Slicer software method (projection method).

methodIn order to validate the accuracy of the slice method, voxelization method, and 3D-Slicer method, these three methods were first applied to measure two known volumetric models, respectively. Then, a total of 198 patients diagnosed with spontaneous intracerebral hemorrhage (ICH) were recruited. The patients were split into 3 different groups based on the hematoma size: group 1: volume < 10 ml (

resultsThere was a significant estimation error (

conclusionsThe 3D-Slicer software method is considered as a stable and capable method of high precision for the calculation of a closed hematoma model with correct normal direction, while it would be inappropriate for the nonclosed model nor the model with incorrect normal direction. The slice method and voxelization method can be the supplement and improvement of the 3D-Slicer software method, for the purpose of achieving precision medicine.

Indexed as

AdultAgedAged, 80 and overCerebral HemorrhageComputational BiologyFemaleHematomaHumansImaging, Three-DimensionalMaleMathematical ConceptsMiddle AgedModels, NeurologicalNeuroimagingRadiographic Image Interpretation, Computer-AssistedSoftware

Identifiers

PMID32724331
PMCPMC7382736
OpenAlexW3043239629

What OpenQuestion holds

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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.