Evidence map›Paper›PMID 30733701›Full record

ArticleFrontiers in neurology2019

Automated Generation of Radiologic Descriptions on Brain Volume Changes From T1-Weighted MR Images: Initial Assessment of Feasibility.

Kentaro Akazawa, Ryo Sakamoto, Satoshi Nakajima, Dan Wu, Yue Li, Kenichi Oishi, Andreia V Faria, Kei Yamada, Kaori Togashi, Constantine G Lyketsos and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Kentaro AkazawaDepartment of Radiology, Johns Hopkins University School of Medicine Baltimore, MD, United States.
Ryo SakamotoDepartment of Radiology, Johns Hopkins University School of Medicine Baltimore, MD, United States.
Satoshi NakajimaDepartment of Radiology, Johns Hopkins University School of Medicine Baltimore, MD, United States.
Dan WuDepartment of Radiology, Johns Hopkins University School of Medicine Baltimore, MD, United States.
Yue LiAnatomyWorks, LLC Baltimore, MD, United States.
Kenichi OishiDepartment of Radiology, Johns Hopkins University School of Medicine Baltimore, MD, United States.
Andreia V FariaDepartment of Radiology, Johns Hopkins University School of Medicine Baltimore, MD, United States.
Kei YamadaDepartment of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine Kyoto, Japan.
Kaori TogashiDepartment of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine Kyoto, Japan.
Constantine G LyketsosDivision of Geriatric Psychiatry and Neuropsychiatry, Memory and Alzheimer's Treatment Center & Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine Baltimore, MD, United States.
Michael I MillerDepartment of Biomedical Engineering, Johns Hopkins University Baltimore, MD, United States.
Susumu MoriDepartment of Radiology, Johns Hopkins University School of Medicine Baltimore, MD, United States.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 1985 to 2019
$37.6M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026
$29.3M
TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Continued Development and Maintenance of MriStudioR01NS084957 · NINDS · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I, MORI, SUSUMU · 2013 to 2022
$3.6M
Multi-Scale Electronic Human Brain AtlasR01NS086888 · NINDS · JOHNS HOPKINS UNIVERSITY · PI MORI, SUSUMU · 2014 to 2018
$1.8M
Development of Software for Automated Quantification of Brain MR ImagesR44NS078917 · NINDS · ANATOMYWORKS, LLC · PI JIANG, HANGYI · 2014 to 2015
$990k
BIGDATA Small Project Structurization and Direct Search of Medical Image DataR01EB017638 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI MILLER, MICHAEL I · 2013 to 2015
$653k
NIA NIH HHS P30 AG066507NIA NIH HHS P50 AG005146NIA NIH HHS U01 AG024904NIBIB NIH HHS P41 EB015909NIBIB NIH HHS R01 EB017638NINDS NIH HHS R01 NS084957NINDS NIH HHS R01 NS086888NINDS NIH HHS R44 NS078917
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

3D T1 weighted imageautomated generationbrain atlasbrain atrophydementiaradiologic description

Identifiers

PMID30733701
PMCPMC6354548

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.