Evidence map›Paper›PMID 29159937›Full record

ArticleJournal of magnetic resonance imaging : JMRI2018

Diffusion-weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors.

Emma M Meeus, Niloufar Zarinabad, Karen A Manias, Jan Novak, Heather E L Rose, Hamid Dehghani, Katharine Foster, Bruce Morland, Andrew C Peet

Open access · hybridAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 31 citations in OpenAlex.

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  17. Perfusion-driven Intravoxel Incoherent Motion (IVIM) MRI in Oncology: Applications, Challenges, and Future Trends.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021
    Review
  18. Pediatric radiology · 2021
    Observational
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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 5 institutions in 1 country.

Emma M MeeusPhysical Sciences of Imaging in Biomedical Sciences (PSIBS) Doctoral Training Centre, University of Birmingham, UK.
Niloufar ZarinabadInstitute of Cancer and Genomic Sciences, University of Birmingham, UK.
Karen A ManiasInstitute of Cancer and Genomic Sciences, University of Birmingham, UK.
Jan NovakInstitute of Cancer and Genomic Sciences, University of Birmingham, UK.
Heather E L RoseInstitute of Cancer and Genomic Sciences, University of Birmingham, UK.
Hamid DehghaniPhysical Sciences of Imaging in Biomedical Sciences (PSIBS) Doctoral Training Centre, University of Birmingham, UK.
Katharine FosterDepartment of Radiology, Birmingham Children's Hospital, Birmingham, UK.
Bruce MorlandDepartment of Oncology, Birmingham Children's Hospital, Birmingham, UK.
Andrew C PeetInstitute of Cancer and Genomic Sciences, University of Birmingham, UK.
Birmingham Children's Hospital · GBUniversity of Birmingham · GBCancer Research UK Clinical Trials Unit · GBNIHR Birmingham Biomedical Research Centre · GBUniversity College Birmingham · GB

Funding

Department of Health NIHR-RP-02-12-019
6 · The paper itself

Abstract

backgroundPediatric retroperitoneal tumors in the renal bed are often large and heterogeneous, and their diagnosis based on conventional imaging alone is not possible. More advanced imaging methods, such as diffusion-weighted (DW) MRI and the use of intravoxel incoherent motion (IVIM), have the potential to provide additional biomarkers that could facilitate their noninvasive diagnosis. PURPOSE: To assess the use of an IVIM model for diagnosis of childhood malignant abdominal tumors and discrimination of benign from malignant lesions. STUDY TYPE: Retrospective. POPULATION: Forty-two pediatric patients with abdominal lesions (n = 32 malignant, n = 10 benign), verified by histopathology. FIELD STRENGTH/SEQUENCE: 1.5T MRI system and a DW-MRI sequence with six b-values (0, 50, 100, 150, 600, 1000 s/mm ASSESSMENT: Parameter maps of apparent diffusion coefficient (ADC), and IVIM maps of slow diffusion coefficient (D), fast diffusion coefficient (D*), and perfusion fraction (f) were computed using a segmented fitting model. Histograms were constructed for whole-tumor regions of each parameter. STATISTICAL TESTS: Comparison of histogram parameters of and their diagnostic performance was determined using Kruskal-Wallis, Mann-Whitney U, and receiver-operating characteristic (ROC) analysis.

resultsIVIM parameters D* and f were significantly higher in neuroblastoma compared to Wilms' tumors (P < 0.05). The ROC analysis showed that the best diagnostic performance was achieved with D* 90 DATA

conclusionIVIM perfusion parameters could distinguish between malignant childhood tumor types, providing potential imaging biomarkers for their diagnosis. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1475-1486.

Indexed as

Diffusion Magnetic Resonance ImagingMotionAbdominal NeoplasmsAdolescentAlgorithmsBiomarkersChildChild, PreschoolDiagnosis, Computer-AssistedFemaleHumansImage Processing, Computer-AssistedInfantInfant, NewbornMalePediatricsBiomarkersabdominal tumorsdiffusiondiffusion-weighted imagingIVIMpediatricperfusion

Identifiers

PMID29159937
PMCPMC6001424
OpenAlexW2769683260

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Registered trials

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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.