Evidence map›Paper›PMID 26484924›Full record

ArticleJournal of Alzheimer's disease : JAD2016

Quantitative Neuroimaging Software for Clinical Assessment of Hippocampal Volumes on MR Imaging.

Jamila Ahdidan, Cyrus A Raji, Edgar A DeYoe, Jedidiah Mathis, Karsten Ø Noe, Jens Rimestad, Thomas K Kjeldsen, Jesper Mosegaard, James T Becker, Oscar Lopez

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 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

10 authors at 5 institutions in 2 countries.

Jamila AhdidanBrainreader, Horsens, Denmark.
Cyrus A RajiUCLA Medical Center, Los Angeles, CA, USA.
Edgar A DeYoeDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Jedidiah MathisDepartment of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Karsten Ø NoeThe Alexandra Institute, Aarhus, Denmark.
Jens RimestadThe Alexandra Institute, Aarhus, Denmark.
Thomas K KjeldsenThe Alexandra Institute, Aarhus, Denmark.
Jesper MosegaardThe Alexandra Institute, Aarhus, Denmark.
James T BeckerDepartments of Psychology, Psychiatry, and Neurology, University of Pittsburgh, Pittsburgh, PA, USA.
Oscar LopezDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, USA.
Alexandra Institute (Denmark) · DKMedical College of Wisconsin · USUniversity of Pittsburgh · USRegional Hospital Horsens · DKUCLA Medical Center · US

Funding

TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECKER, JAMES T. · 1985 to 2019
$43.0M
NIA NIH HHS P50 AG005133
6 · The paper itself

Abstract

backgroundMultiple neurological disorders including Alzheimer's disease (AD), mesial temporal sclerosis, and mild traumatic brain injury manifest with volume loss on brain MRI. Subtle volume loss is particularly seen early in AD. While prior research has demonstrated the value of this additional information from quantitative neuroimaging, very few applications have been approved for clinical use. Here we describe a US FDA cleared software program, NeuroreaderTM, for assessment of clinical hippocampal volume on brain MRI.

objectiveTo present the validation of hippocampal volumetrics on a clinical software program.

methodSubjects were drawn (n = 99) from the Alzheimer Disease Neuroimaging Initiative study. Volumetric brain MR imaging was acquired in both 1.5 T (n = 59) and 3.0 T (n = 40) scanners in participants with manual hippocampal segmentation. Fully automated hippocampal segmentation and measurement was done using a multiple atlas approach. The Dice Similarity Coefficient (DSC) measured the level of spatial overlap between NeuroreaderTM and gold standard manual segmentation from 0 to 1 with 0 denoting no overlap and 1 representing complete agreement. DSC comparisons between 1.5 T and 3.0 T scanners were done using standard independent samples T-tests.

resultsIn the bilateral hippocampus, mean DSC was 0.87 with a range of 0.78-0.91 (right hippocampus) and 0.76-0.91 (left hippocampus). Automated segmentation agreement with manual segmentation was essentially equivalent at 1.5 T (DSC = 0.879) versus 3.0 T (DSC = 0.872).

conclusionThis work provides a description and validation of a software program that can be applied in measuring hippocampal volume, a biomarker that is frequently abnormal in AD and other neurological disorders.

Indexed as

SoftwareAgedAged, 80 and overAlzheimer DiseaseCognitive DysfunctionFemaleHippocampusHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedHippocampusmagnetic resonance imagingquantification

Identifiers

PMID26484924
PMCPMC4718601
OpenAlexW1756674874

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.