Evidence map›Paper›PMID 39389789›Full record

ArticleJournal of magnetic resonance imaging : JMRI2025

Comparison of Echo Planar and Turbo Spin Echo Diffusion-Weighted Imaging in Intraoperative MRI.

James C Thorpe, Stefanie C Thust, Claire H M Gillon, Selene Rowe, Charlotte E Swain, Donald C MacArthur, Simon P Howarth, Shivaram Avula, Paul S Morgan, Rob A Dineen

Abstract readComparative Study
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2025. 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

10 authors.

James C ThorpeMedical Physics and Clinical Engineering, Nottingham University Hospitals, Nottingham, UK.ORCID 0009-0001-8909-6453
Stefanie C ThustRadiological Sciences, Academic Unit of Mental Health and Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0001-5136-6000
Claire H M GillonRadiology, Nottingham University Hospitals, Nottingham, UK.
Selene RoweRadiology, Nottingham University Hospitals, Nottingham, UK.ORCID 0000-0002-8776-848X
Charlotte E SwainRadiology, Nottingham University Hospitals, Nottingham, UK.ORCID 0009-0003-2015-850X
Donald C MacArthurNeurosurgery, Nottingham University Hospitals, Nottingham, UK.ORCID 0000-0002-4105-1846
Simon P HowarthNeurosurgery, Nottingham University Hospitals, Nottingham, UK.
Shivaram AvulaRadiology, Alder Hey Children's Hospital NHS Foundation Trust, Liverpool, UK.ORCID 0000-0003-1742-7206
Paul S MorganMedical Physics and Clinical Engineering, Nottingham University Hospitals, Nottingham, UK.ORCID 0000-0002-5870-1446
Rob A DineenMedical Physics and Clinical Engineering, Nottingham University Hospitals, Nottingham, UK.ORCID 0000-0002-9523-2546

Funding

Children with Cancer UK, 28-281 Intraoperative MRI ScannerNottingham Hospitals Charity, Big Intraoperative MRI AppealUniversity of Nottingham CARO, Intraoperative MRI Appeal
6 · The paper itself

Abstract

backgroundDiffusion-weighted imaging (DWI) is routinely used in brain tumor surgery guided by intraoperative MRI (IoMRI). However, conventional echo planar imaging DWI (EPI-DWI) is susceptible to distortion and artifacts that affect image quality. Turbo spin echo DWI (TSE-DWI) is an alternative technique with minimal spatial distortions that has the potential to be the radiologically preferred sequence. PURPOSE: To compare via single- and multisequence assessment EPI-DWI and TSE-DWI in the IoMRI setting to determine whether there is a radiological preference for either sequence. STUDY TYPE: Retrospective. POPULATION: Thirty-four patients (22 female) aged 2-61 years (24 under 18 years) undergoing IoMRI during surgical resection of intracranial tumors. FIELD STRENGTH/SEQUENCE: 3-T, EPI-DWI, and TSE-DWI. ASSESSMENT: Patients were scanned with EPI- and TSE-DWI as part of the standard IoMRI scanning protocol. A single-sequence assessment of spatial distortion and image artifact was performed by three neuroradiologists blinded to the sequence type. Images were scored regarding distortion and artifacts, around and remote to the resection cavity. A multisequence radiological assessment was performed by three neuroradiologists in full radiological context including all other IoMRI sequences from each case. The DWI images were directly compared with scorings of the radiologists on which they preferred with respect to anatomy, abnormality, artifact, and overall preference. STATISTICAL TESTS: Wilcoxon signed-rank tests for single-sequence assessment, weighted kappa for single and multisequence assessment. A P-value <0.001 was considered statistically significant.

resultsFor the blinded single-sequence assessment, the TSE-DWI sequence was scored equal to or superior to the EPI-DWI sequence for distortion and artifacts, around and remote to the resection cavity for every case. In the multisequence assessment, all radiologists independently expressed a preference for TSE-DWI over EPI-DWI sequences on viewing brain anatomy, abnormalities, and artifacts. DATA

conclusionThe TSE-DWI sequences may be favored over EPI-DWI for IoMRI in patients with intracranial tumors. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY: Stage 5.

Indexed as

Brain NeoplasmsDiffusion Magnetic Resonance ImagingEcho-Planar ImagingSurgery, Computer-AssistedAdolescentAdultArtifactsBrainChildChild, PreschoolFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesdiffusionEPI diffusionintraoperative MRIneurosurgeryTSE diffusion

Identifiers

PMID39389789
PMCPMC11896932

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.