Evidence map›Paper›PMID 34111974›Full record

ArticleThe British journal of radiology2021

Quantitative diffusion and perfusion MRI in the evaluation of endometrial cancer: validation with histopathological parameters.

Serena Satta, Miriam Dolciami, Veronica Celli, Francesca Di Stadio, Giorgia Perniola, Innocenza Palaia, Angelina Pernazza, Carlo Della Rocca, Stefania Rizzo, Carlo Catalano and 2 more

Open access · hybridAbstract readEvaluation StudyValidation Study
In one paragraph

Article in The British journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 60 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Serena SattaDepartment of Radiological, Oncological and Pathological Sciences, Umberto I Hospital,"Sapienza" University of Rome, Rome, Italy.
Miriam DolciamiDepartment of Radiological, Oncological and Pathological Sciences, Umberto I Hospital,"Sapienza" University of Rome, Rome, Italy.
Veronica CelliDepartment of Radiological, Oncological and Pathological Sciences, Umberto I Hospital,"Sapienza" University of Rome, Rome, Italy.
Francesca Di StadioCNR Institute for Complex Systems (ISC), Physics Department, "Sapienza" University of Rome, Rome, Italy.
Giorgia PerniolaDepartment of Maternal and Child Health and Urological Sciences, Umberto I Hospital,"Sapienza" University of Rome, Rome, Italy.
Innocenza PalaiaDepartment of Maternal and Child Health and Urological Sciences, Umberto I Hospital,"Sapienza" University of Rome, Rome, Italy.
Angelina PernazzaDepartment of Radiological, Oncological and Pathological Sciences, Umberto I Hospital,"Sapienza" University of Rome, Rome, Italy.
Carlo Della RoccaDepartment of Radiological, Oncological and Pathological Sciences, Umberto I Hospital,"Sapienza" University of Rome, Rome, Italy.
Stefania RizzoIstituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland.
Carlo CatalanoDepartment of Radiological, Oncological and Pathological Sciences, Umberto I Hospital,"Sapienza" University of Rome, Rome, Italy.
Silvia CapuaniCNR Institute for Complex Systems (ISC), Physics Department, "Sapienza" University of Rome, Rome, Italy.
Lucia ManganaroDepartment of Radiological, Oncological and Pathological Sciences, Umberto I Hospital,"Sapienza" University of Rome, Rome, Italy.
Policlinico Umberto I · ITSapienza University of Rome · ITInstitute for Complex Systems · ITUniversità della Svizzera italiana · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the role of quantitative Magnetic Resonance Imaging (MRI) in preoperative assessment of tumour aggressiveness in patients with endometrial cancer, correlating multiple parameters obtained from diffusion and dynamic contrast-enhanced (DCE) MR sequences with conventional histopathological prognostic factors and inflammatory tumour infiltrate.

methodsForty-four patients with biopsy-proven endometrial cancer underwent preoperative MR imaging at 3T scanner, including DCE imaging, diffusion-weighted imaging (DWI) and intravoxel incoherent motion imaging (IVIM). Images were analysed on dedicated post-processing workstations and quantitative parameters were extracted:

results

conclusionsQuantitative biomarkers obtained from pre-operative DWI, IVIM and DCE-MR examination are an ADVANCES IN KNOWLEDGE: Quantitative imaging biomarkers obtained from DWI, DCE and IVIM may improve preoperative prognostic stratification in patients with endometrial cancer leading to a more informed therapeutic choice.

Indexed as

Endometrial NeoplasmsEndometriumEvaluation Studies as TopicFemaleHumansMagnetic Resonance ImagingNeoplasm InvasivenessReproducibility of Results

Identifiers

PMID34111974
PMCPMC9327771
OpenAlexW3168011208

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.