Evidence map›Paper›PMID 27543074›Full record

ArticleEuropean radiology2017

Prediction of pancreatic neuroendocrine tumour grade with MR imaging features: added value of diffusion-weighted imaging.

Emad Lotfalizadeh, Maxime Ronot, Mathilde Wagner, Jérôme Cros, Anne Couvelard, Marie-Pierre Vullierme, Wassim Allaham, Olivia Hentic, Philippe Ruzniewski, Valérie Vilgrain

Erratum issuedAbstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Quantitative Multi-Parameter MRI Evaluation of Hashimoto's Thyroiditis Changes After Dietary Interventions.Medical science monitor : international medical journal of experimental and clinical research · 2025
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  2. Observational
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  8. [Imaging of pancreatic neuroendocrine tumors].Radiologie (Heidelberg, Germany) · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Emad LotfalizadehDepartment of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.
Maxime RonotDepartment of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France. maxime.ronot@bjn.aphp.fr.
Mathilde WagnerDepartment of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.
Jérôme CrosUniversity Paris Diderot, Sorbonne Paris Cité, Paris, France.
Anne CouvelardUniversity Paris Diderot, Sorbonne Paris Cité, Paris, France.
Marie-Pierre VulliermeDepartment of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.
Wassim AllahamDepartment of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.
Olivia HenticDepartment of Gastroenterology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.
Philippe RuzniewskiDepartment of Gastroenterology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.
Valérie VilgrainDepartment of Radiology, University Hospitals Paris Nord Val de Seine, Beaujon, Clichy, Hauts-de-Seine, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the value of MR imaging including diffusion-weighted imaging (DWI) for the grading of pancreatic neuroendocrine tumours (pNET). MATERIAL AND

methodsBetween 2006 and 2014, all resected pNETs with preoperative MR imaging including DWI were included. Tumour grading was based on the 2010 WHO classification. MR imaging features included size, T1-w, and T2-w signal intensity, enhancement pattern, apparent (ADC) and true diffusion (D) coefficients.

resultsOne hundred and eight pNETs (mean 40 ± 33 mm) were evaluated in 94 patients (48 women, 51 %, mean age 52 ± 12). Fifty-five (51 %), 42 (39 %), and 11 (10 %) tumours were given the following grades (G): G1, G2, and G3. Mean ADC and D values were significantly lower as grade increased (ADC: 2.13 ± 0.70, 1.78 ± 0.72, and 0.86 ± 0.22 10

conclusionMorphological/functional MRI features of pNETS depend on tumour grade. DWI is useful for the identification of high-grade tumours. KEY POINTS: • Morphological and functional MRI features of pNETs depend on tumour grade. • Their combination has a high predictive value for grade. • All pNETs should be explored by MR imaging including DWI. • DWI is helpful for identification of high-grade and poorly-differentiated tumours.

Indexed as

AdultAgedDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingNeuroendocrine TumorsPancreatic NeoplasmsRetrospective StudiesSensitivity and SpecificityCarcinomaGradingKi-67NeoplasmPancreas

Identifiers

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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.