Evidence map›Paper›PMID 34573899›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Faster Region-Based Convolutional Neural Network in the Classification of Different Parkinsonism Patterns of the Striatum on Maximum Intensity Projection Images of [

Byung Wook Choi, Sungmin Kang, Hae Won Kim, Oh Dae Kwon, Huy Duc Vu, Sung Won Youn

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Imaging Procedure and Clinical Studies of [Nuclear medicine and molecular imaging · 2024
    Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Differential Diagnosis of Parkinsonism Based on Deep Metabolic Imaging Indices.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    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.

Byung Wook ChoiDepartment of Nuclear Medicine, Daegu Catholic University Medical Center, Daegu Catholic University School of Medicine, Daegu 42472, Korea.ORCID 0000-0002-7191-0007
Sungmin KangDepartment of Nuclear Medicine, Daegu Catholic University Medical Center, Daegu Catholic University School of Medicine, Daegu 42472, Korea.ORCID 0000-0003-1959-8578
Hae Won KimDepartment of Nuclear Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu 42601, Korea.
Oh Dae KwonDepartment of Neurology, Daegu Catholic University Medical Center, Daegu Catholic University School of Medicine, Daegu 42472, Korea.
Huy Duc VuDepartment of Radiology, Daegu Catholic University Medical Center, Daegu Catholic University School of Medicine, Daegu 42472, Korea.
Sung Won YounDepartment of Radiology, Daegu Catholic University Medical Center, Daegu Catholic University School of Medicine, Daegu 42472, Korea.ORCID 0000-0001-9491-1347

Funding

National Research Foundation of Korea No. 2018R1C1B5047075
6 · The paper itself

Abstract

The aim of this study was to compare the performance of a deep-learning convolutional neural network (Faster R-CNN) model to detect imaging findings suggestive of idiopathic Parkinson's disease (PD) based on [

Indexed as

artificial intelligencedeep learningdopamine transporterParkinson’s diseasepositron emission tomography

Identifiers

PMID34573899
PMCPMC8467049

What OpenQuestion holds

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LicenceCC BY
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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.