Evidence map›Paper›PMID 29305164›Full record

ReviewNeuroImage2019

Recent progress in ASL.

Luis Hernandez-Garcia, Anish Lahiri, Jonas Schollenberger

Abstract readReview
In one paragraph

Review in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 4 pooled it
–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

74 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  14. Evaluation of Early Renal Changes in Type 2 Diabetes Mellitus Using Multiparametric MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
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14 more citing papers are in PubMed but not listed here.

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

3 authors.

Luis Hernandez-GarciaFMRI Laboratory, University of Michigan, United States. Electronic address: hernan@umich.edu.
Anish LahiriFMRI Laboratory, University of Michigan, United States.
Jonas SchollenbergerFMRI Laboratory, University of Michigan, United States.

Funding

Quantitative Blood Flow Imaging using Spin Labeled MR FingerprintingR21EB021562 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HERNANDEZ-GARCIA, LUIS · 2016 to 2017
$400k
NIBIB NIH HHS R21 EB021562
6 · The paper itself

Abstract

This article aims to provide the reader with an overview of recent developments in Arterial Spin Labeling (ASL) MRI techniques. A great deal of progress has been made in recent years in terms of the SNR and acquisition speed. New strategies have been introduced to improve labeling efficiency, reduce artefacts, and estimate other relevant physiological parameters besides perfusion. As a result, ASL techniques has become a reliable workhorse for researchers as well as clinicians. After a brief overview of the technique's fundamentals, this article will review new trends and variants in ASL including vascular territory mapping and velocity selective ASL, as well as arterial blood volume imaging techniques. This article will also review recent processing techniques to reduce partial volume effects and physiological noise. Next the article will examine how ASL techniques can be leveraged to calculate additional physiological parameters beyond perfusion and finally, it will review a few recent applications of ASL in the literature.

Indexed as

ArteriesBlood Flow VelocityBrainBrain MappingCerebral Blood VolumeHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingModels, NeurologicalSignal-To-Noise RatioSpin LabelsSpin Labels

Identifiers

PMID29305164
PMCPMC6030511

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.