Evidence map›Paper›PMID 28905419›Full record

ArticleMagnetic resonance in medicine2018

Fast 3D rosette spectroscopic imaging of neocortical abnormalities at 3 T: Assessment of spectral quality.

Claudiu V Schirda, Tiejun Zhao, Victor E Yushmanov, Yoojin Lee, Gena R Ghearing, Frank S Lieberman, Ashok Panigrahy, Hoby P Hetherington, Jullie W Pan

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. 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
0.9field-weighted citation impact, top 25% 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, 16 citations in OpenAlex.

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  9. Achieving high-resolutionJournal of magnetic resonance (San Diego, Calif. : 1997) · 2021
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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

9 authors at 3 institutions in 1 country.

Claudiu V SchirdaDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Tiejun ZhaoSiemens Healthcare, Siemens Medical Solutions USA Inc, Pittsburgh, Pennsylvania, USA.
Victor E YushmanovDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Yoojin LeeDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Gena R GhearingDepartment of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Frank S LiebermanDepartment of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Ashok PanigrahyDepartment of Pediatric Radiology, Children's Hospital of Pittsburgh, UPMC, Pittsburgh, Pennsylvania, USA.
Hoby P HetheringtonDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Jullie W PanDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh · USChildren's Hospital of Pittsburgh · USSiemens Healthcare (United States) · US

Funding

Spectroscopic imaging of human epilepsyR01NS090417 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PAN, JULLIE W · 2014 to 2017
$2.4M
7T MR spectroscopic imaging for human epilepsyR01EB011639 · NIBIB · YALE UNIVERSITY · PI HETHERINGTON, HOBY P, PAN, JULLIE W · 2011 to 2014
$2.0M
Multiplexed Multiband MR at 7T: Studies of mild Traumatic Brain InjuryR01NS081772 · NINDS · YALE UNIVERSITY · PI HETHERINGTON, HOBY P · 2012 to 2015
$2.0M
Fast Targeted Spectroscopic Imaging for Brain Tumor Imaging at 3T and 7TR01EB024408 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PAN, JULLIE W · 2018 to 2021
$1.9M
NIBIB NIH HHS R01 EB011639NIBIB NIH HHS R01 EB024408NINDS NIH HHS R01 NS081772NINDS NIH HHS R01 NS090417
6 · The paper itself

Abstract

purposeTo use a fast 3D rosette spectroscopic imaging acquisition to quantitatively evaluate how spectral quality influences detection of the endogenous variation of gray and white matter metabolite differences in controls, and demonstrate how rosette spectroscopic imaging can detect metabolic dysfunction in patients with neocortical abnormalities.

methodsData were acquired on a 3T MR scanner and 32-channel head coil, with rosette spectroscopic imaging covering a 4-cm slab of fronto-parietal-temporal lobes. The influence of acquisition parameters and filtering on spectral quality and sensitivity to tissue composition was assessed by LCModel analysis, the Cramer-Rao lower bound, and the standard errors from regression analyses. The optimized protocol was used to generate normative white and gray matter regressions and evaluate three patients with neocortical abnormalities.

resultsAs a measure of the sensitivity to detect abnormalities, the standard errors of regression for Cr/NAA and Ch/NAA were significantly correlated with the Cramer-Rao lower bound values (R = 0.89 and 0.92, respectively, both with P < 0.001). The rosette acquisition with a duration of 9.6 min, produces a mean Cramer-Rao lower bound (%) over the entire slab of 4.6 ± 2.6 and 5.8 ± 2.3 for NAA and Cr, respectively. This enables a Cr/NAA standard error of 0.08 (i.e., detection sensitivity of 25% for a 50/50 mixed gray and white matter voxel). In healthy controls, the regression of Cr/NAA versus fraction gray matter in the cingulate differs from frontal and parietal regions.

conclusionsFast rosette spectroscopic imaging acquisitions with regression analyses are able to identify metabolic differences across 4-cm slabs of the brain centrally and over the cortical periphery with high efficiency, generating results that are consistent with clinical findings. Magn Reson Med 79:2470-2480, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

AdultAstrocytomaFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeocortexbrainCRLBfast spectroscopic imagingneocortical abnormalitiesrosette trajectoriesRSIspectral quality

Identifiers

PMID28905419
PMCPMC5821598
OpenAlexW2755157459

What OpenQuestion holds

Textmetadata
LicenceTDM
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.