Evidence map›Paper›PMID 31317380›Full record

ArticleLa Radiologia medica2019

Detection of Crohn's disease with diffusion images versus contrast-enhanced images in pediatric using MR enterography with histopathological correlation.

Gabriele Masselli, Chiara De Vincentiis, Marina Aloi, Marianna Guida, Roberta Cao, Gaia Cartocci, Vittorio Miele, Roberto Grassi

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In one paragraph

Article in La Radiologia medica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  6. Review
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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

8 authors at 3 institutions in 1 country.

Gabriele MasselliRadiology Department, Umberto I Hospital, Sapienza University, Viale del Policlinico 155, 00161, Rome, Italy. gabriele.masselli@uniroma1.it.
Chiara De VincentiisRadiology Department, Umberto I Hospital, Sapienza University, Viale del Policlinico 155, 00161, Rome, Italy.
Marina AloiPediatric Department, Umberto I Hospital, Sapienza University, Viale del Policlinico 155, 00161, Rome, Italy.
Marianna GuidaRadiology Department, Umberto I Hospital, Sapienza University, Viale del Policlinico 155, 00161, Rome, Italy.ORCID http://orcid.org/0000-0002-5405-3648
Roberta CaoRadiology Department, Umberto I Hospital, Sapienza University, Viale del Policlinico 155, 00161, Rome, Italy.
Gaia CartocciRadiology Department, Umberto I Hospital, Sapienza University, Viale del Policlinico 155, 00161, Rome, Italy.
Vittorio MieleRadiology Department, Careggi University Hospital, University of Florence, Largo G.A. Brambilla 3, 50134, Florence, Italy.
Roberto GrassiRadiology Department, University of Campania "L. Vanvitelli", Piazza Miraglia 2, 80138, Naples, Italy.
Policlinico Umberto I · ITUniversity of Campania "Luigi Vanvitelli" · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to determine whether MRE performed with diffusion-weighted imaging (DWI) sequences is comparable to contrast-enhanced MRE in the detection of active small-bowel inflammation in pediatric patients with Crohn's disease (CD). We included in our study 68 patients with diagnosis of CD between April 2015 and June 2018 that underwent MRE examination. Examination protocol includes coronal and axial FISP, T2-w half-Fourier RARE and DWI sequences, a baseline coronal T1-w fat-saturated ultrafast (GRE) sequence followed by contrast 3D T1-w GRE. All images were assessed by two radiologists who graded each of bowel segments for the presence of inflammation on a four-point confidence scale on the basis of wall thickening and wall signal on DWI and ADC maps and comparing their results with post-contrast images. When considering all bowel segments, we found 41 true positive and 25 true negative on DWI. One false positive case corresponded to the absence of inflammatory histopathology changes at the level of the terminal ileum in a 15-year-old male, and one false negative case was in a 10-year-old female with only jejunal lesion. The corresponding sensitivity, specificity, PPV, NPV and accuracy were 97.6% (95% CI 67.7-99.7), 96.1% (95% CI 66.7-98.5), 97.6% (95% CI 70.8-98.4), 96.1% (95% CI 64.2-90.6) and 97% (95% CI 84.2-97.5), respectively. Analyzing the gadolinium-enhanced set, 35 true positive and 25 true negative results were found. One false positive case was found, and it was the same as with DWI. The corresponding sensitivity, specificity, PPV, NPV and accuracy were 83.3% (95% CI 65.9-86.7), 96.1% (95% CI 68.7-88.9), 97.2% (95% CI 84.3-98.7), 78.1% (95% CI 27.9-72.1) and 88.2% (95% CI 41.2-85.6), respectively. Sensitivity for the detection of active IBD lesion was significantly better with DWI than with CE-T1-w imaging (p = 0.002), whereas the specificity was similar (p = 0.743). Our study has shown that DWI sequences have a high accuracy in detecting the bowel segment affected by CD. These results emphasize the utility to include the DWI/ADC in standard MR enterography protocols and suggest that DWI could replace T1-weighted post-contrast sequences.

Indexed as

Diffusion Magnetic Resonance ImagingAdolescentChildContrast MediaCrohn DiseaseFalse Negative ReactionsFalse Positive ReactionsFemaleGadoliniumHumansImage EnhancementInflammatory Bowel DiseasesIntestinesMaleProspective StudiesSensitivity and SpecificityContrast MediaGadoliniumCrohn diseaseDiffusionMR enterographyPediatricSmall bowel

Identifiers

PMID31317380
OpenAlexW2962659064

What OpenQuestion holds

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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.