Evidence map›Paper›PMID 37776361›Full record

ArticleEuropean radiology2024

Evaluation of simultaneous multi-slice acquisition with advanced processing for free-breathing diffusion-weighted imaging in patients with liver metastasis.

Mihaela Rata, Katja N De Paepe, Matthew R Orton, Francesca Castagnoli, James d'Arcy, Jessica M Winfield, Julie Hughes, Alto Stemmer, Marcel Dominik Nickel, Dow-Mu Koh

Abstract read
In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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.

Mihaela RataDepartment of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK. Mihaela.Rata@icr.ac.uk.ORCID http://orcid.org/0000-0003-4999-8038
Katja N De PaepeDepartment of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
Matthew R OrtonDepartment of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
Francesca CastagnoliDepartment of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
James d'ArcyDivision of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
Jessica M WinfieldDepartment of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
Julie HughesDepartment of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
Alto StemmerSiemens Healthcare GmbH, MR Application Predevelopment, Erlangen, Germany.
Marcel Dominik NickelSiemens Healthcare GmbH, MR Application Predevelopment, Erlangen, Germany.
Dow-Mu KohDepartment of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDiffusion-weighted imaging (DWI) with simultaneous multi-slice (SMS) acquisition and advanced processing can accelerate acquisition time and improve MR image quality. This study evaluated the image quality and apparent diffusion coefficient (ADC) measurements of free-breathing DWI acquired from patients with liver metastases using a prototype SMS-DWI acquisition (with/without an advanced processing option) and conventional DWI.

methodsFour DWI schemes were compared in a pilot 5-patient cohort; three DWI schemes were further assessed in a 24-patient cohort. Two readers scored image quality of all b-value images and ADC maps across the three methods. ADC measurements were performed, for all three methods, in left and right liver parenchyma, spleen, and liver metastases. The Friedman non-parametric test (post-hoc Wilcoxon test with Bonferroni correction) was used to compare image quality scoring; t-test was used for ADC comparisons.

resultsSMS-DWI was faster (by 24%) than conventional DWI. Both readers scored the SMS-DWI with advanced processing as having the best image quality for highest b-value images (b750) and ADC maps; Cohen's kappa inter-reader agreement was 0.6 for b750 image and 0.56 for ADC maps. The prototype SMS-DWI sequence with advanced processing allowed a better visualization of the left lobe of the liver. ADC measured in liver parenchyma, spleen, and liver metastases using the SMS-DWI with advanced processing option showed lower values than those derived from the SMS-DWI method alone (t-test, p < 0.0001; p < 0.0001; p = 0.002).

conclusionsFree-breathing SMS-DWI with advanced processing was faster and demonstrated better image quality versus a conventional DWI protocol in liver patients. CLINICAL RELEVANCE STATEMENT: Free-breathing simultaneous multi-slice- diffusion-weighted imaging (DWI) with advanced processing was faster and demonstrated better image quality versus a conventional DWI protocol in liver patients. KEY POINTS: • Diffusion-weighted imaging (DWI) with simultaneous multi-slice (SMS) can accelerate acquisition time and improve image quality. • Apparent diffusion coefficients (ADC) measured in liver parenchyma, spleen, and liver metastases using the simultaneous multi-slice DWI with advanced processing were significantly lower than those derived from the simultaneous multi-slice DWI method alone. • Simultaneous multi-slice DWI sequence with inline advanced processing was faster and demonstrated better image quality in liver patients.

Indexed as

Liver NeoplasmsRespirationDiffusion Magnetic Resonance ImagingEcho-Planar ImagingHumansReproducibility of ResultsDiffusion MRILiverMetastasisPatientsSimultaneous multi-slice acquisition

Identifiers

PMID37776361
PMCPMC10957610

What OpenQuestion 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 OpenQuestion graph.