Evidence map›Paper›PMID 31588223›Full record

ArticleTheranostics2019

Experimental pancreatic cancer develops in soft pancreas: novel leads for an individualized diagnosis by ultrafast elasticity imaging.

Nicole Therville, Silvia Arcucci, Aurélie Vertut, Fernanda Ramos-Delgado, Dina Ferreira Da Mota, Marlène Dufresne, Céline Basset, Julie Guillermet-Guibert

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2019. 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
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Liver Stiffness Characterization of OGTJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026
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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 2 institutions in 1 country.

Nicole ThervilleINSERM U1037, CRCT, Université Paul Sabatier, Toulouse.
Silvia ArcucciINSERM U1037, CRCT, Université Paul Sabatier, Toulouse.
Aurélie VertutINSERM U1037, CRCT, Université Paul Sabatier, Toulouse.
Fernanda Ramos-DelgadoINSERM U1037, CRCT, Université Paul Sabatier, Toulouse.
Dina Ferreira Da MotaLaboratoire d'Histologie et d'Embryologie, Faculté de médecine de Rangueil, Toulouse.
Marlène DufresneINSERM U1037, CRCT, Université Paul Sabatier, Toulouse.
Céline BassetINSERM U1037, CRCT, Université Paul Sabatier, Toulouse.
Julie Guillermet-GuibertINSERM U1037, CRCT, Université Paul Sabatier, Toulouse.
Université Toulouse III - Paul Sabatier · FRHôpital Rangueil · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid, easy and early pancreatic cancer diagnosis and therapeutic follow up continue to necessitate an increasing attention towards the development of effective treatment strategies for this lethal disease. The non invasive quantitative assessment of pancreatic heterogeneity is limited. Here, we report the development of a preclinical imaging protocol using ultrasonography and shear wave technology in an experimental in situ pancreatic cancer model to measure the evolution of pancreatic rigidity.

Indexed as

AnimalsCarcinoma, Pancreatic DuctalCellular SenescenceElasticity Imaging TechniquesMice, TransgenicMutationNeoplasms, ExperimentalPancreatic NeoplasmsProto-Oncogene Proteins p21(ras)Time FactorsTumor Suppressor Protein p53Hras protein, mouseProto-Oncogene Proteins p21(ras)Trp53 protein, mouseTumor Suppressor Protein p53pancreatic cancerpersonalized medecinequantitative live imagingtumor heterogeneitytumor rigidity

Identifiers

PMID31588223
PMCPMC6771236
OpenAlexW2973154226

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.