Evidence map›Paper›PMID 29352378›Full record

ArticleEuropean radiology2018

Can histogram analysis of MR images predict aggressiveness in pancreatic neuroendocrine tumors?

Riccardo De Robertis, Bogdan Maris, Nicolò Cardobi, Paolo Tinazzi Martini, Stefano Gobbo, Paola Capelli, Silvia Ortolani, Sara Cingarlini, Salvatore Paiella, Luca Landoni and 5 more

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
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  19. European journal of nuclear medicine and molecular imaging · 2022
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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

15 authors at 2 institutions in 1 country.

Riccardo De RobertisDepartment of Radiology, P. Pederzoli Hospital, Via Monte Baldo 24, 37019, Peschiera del Garda, Italy. riccardo.derobertis@hotmail.it.ORCID http://orcid.org/0000-0003-0930-4337
Bogdan MarisDepartment of Computer Science, University of Verona, Strada le Grazie 15, 37134, Verona, Italy.
Nicolò CardobiDepartment of Radiology, P. Pederzoli Hospital, Via Monte Baldo 24, 37019, Peschiera del Garda, Italy.
Paolo Tinazzi MartiniDepartment of Radiology, P. Pederzoli Hospital, Via Monte Baldo 24, 37019, Peschiera del Garda, Italy.
Stefano GobboDepartment of Pathology, P. Pederzoli Hospital, Via Monte Baldo 24, 37019, Peschiera del Garda, Italy.
Paola CapelliDepartment of Pathology, G.B. Rossi Hospital - University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
Silvia OrtolaniDepartment of Oncology, P. Pederzoli Hospital, Via Monte Baldo 24, 37019, Peschiera del Garda, Italy.
Sara CingarliniDepartment of Oncology, G.B. Rossi Hospital - University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
Salvatore PaiellaDepartment of Pancreatic Surgery, G.B. Rossi Hospital - University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
Luca LandoniDepartment of Pancreatic Surgery, G.B. Rossi Hospital - University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
Giovanni ButturiniDepartment of Pancreatic Surgery, P. Pederzoli Hospital, Via Monte Baldo 24, 37019, Peschiera del Garda, Italy.
Paolo RegiDepartment of Pancreatic Surgery, P. Pederzoli Hospital, Via Monte Baldo 24, 37019, Peschiera del Garda, Italy.
Aldo ScarpaDepartment of Pathology, G.B. Rossi Hospital - University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
Giampaolo TortoraDepartment of Oncology, G.B. Rossi Hospital - University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
Mirko D'OnofrioDepartment of Radiology, G.B. Rossi Hospital - University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy.
University of Verona · ITCasa di Cura Villa Garda · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate MRI derived whole-tumour histogram analysis parameters in predicting pancreatic neuroendocrine neoplasm (panNEN) grade and aggressiveness.

methodsPre-operative MR of 42 consecutive patients with panNEN >1 cm were retrospectively analysed. T1-/T2-weighted images and ADC maps were analysed. Histogram-derived parameters were compared to histopathological features using the Mann-Whitney U test. Diagnostic accuracy was assessed by ROC-AUC analysis; sensitivity and specificity were assessed for each histogram parameter.

resultsADC

conclusionsWhole-tumour histogram analysis of ADC maps may be helpful in predicting tumour grade, vascular involvement, nodal and liver metastases in panNENs. ADC KEY POINTS: • Whole-tumour ADC histogram analysis can predict aggressiveness in pancreatic neuroendocrine neoplasms. • ADC entropy and kurtosis are higher in aggressive tumours. • ADC histogram analysis can quantify tumour diffusion heterogeneity. • Non-invasive quantification of tumour heterogeneity can provide adjunctive information for prognostication.

Indexed as

AdultAgedFemaleHumansLiver NeoplasmsLymphatic MetastasisMagnetic Resonance ImagingMaleMiddle AgedNeuroendocrine TumorsPancreatic NeoplasmsRetrospective StudiesROC CurveSensitivity and SpecificityStatistics, NonparametricMagnetic resonance imagingNeuroendocrine neoplasmNeuroendocrine tumourPancreasPancreatic neoplasms

Identifiers

PMID29352378
OpenAlexW2785115302

What OpenQuestion holds

Textmetadata
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.