Evidence map›Paper›PMID 32885297›Full record

ArticleEuropean radiology2021

Added-value of advanced magnetic resonance imaging to conventional morphologic analysis for the differentiation between benign and malignant non-fatty soft-tissue tumors.

Gauthier Dodin, Julia Salleron, Salma Jendoubi, Waled Abou Arab, François Sirveaux, Alain Blum, Pedro Augusto Gondim Teixeira

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In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 2 institutions in 1 country.

Gauthier DodinService d'imagerie Guilloz, Hôpital Central, Centre Hospitalier Régional Universitaire de Nancy, 29 avenue du Maréchal de Lattre de Tassigny, 54035, Nancy cedex, France. gauthier-dodin@orange.fr.ORCID http://orcid.org/0000-0002-1183-8170
Julia SalleronDépartement de Biostatistique, Institut de Cancérologie de Lorraine, 6 avenue de Bourgogne, F-54519, Vandœuvre-lès-Nancy cedex, France.
Salma JendoubiService d'imagerie Guilloz, Hôpital Central, Centre Hospitalier Régional Universitaire de Nancy, 29 avenue du Maréchal de Lattre de Tassigny, 54035, Nancy cedex, France.
Waled Abou ArabService d'imagerie Guilloz, Hôpital Central, Centre Hospitalier Régional Universitaire de Nancy, 29 avenue du Maréchal de Lattre de Tassigny, 54035, Nancy cedex, France.
François SirveauxCentre Chirurgical Emile-Gallé, Centre Hospitalier Régional Universitaire de Nancy, 49, rue Hermite, 54000, Nancy cedex, France.
Alain BlumService d'imagerie Guilloz, Hôpital Central, Centre Hospitalier Régional Universitaire de Nancy, 29 avenue du Maréchal de Lattre de Tassigny, 54035, Nancy cedex, France.
Pedro Augusto Gondim TeixeiraService d'imagerie Guilloz, Hôpital Central, Centre Hospitalier Régional Universitaire de Nancy, 29 avenue du Maréchal de Lattre de Tassigny, 54035, Nancy cedex, France.
Centre Hospitalier Régional et Universitaire de Nancy · FRInstitut de Cancérologie de Lorraine · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the added value of DWI, qualitative proton MR spectroscopy (H-MRS) and dynamic contrast-enhanced perfusion (DCE-P) to conventional MRI in differentiating benign and malignant non-fatty soft tissue tumors (NFSTT).

methodsFrom November 2009 to August 2017, 288 patients with NFSTT that underwent conventional and advanced MRI were prospectively evaluated. The study was approved by the local ethics committee. All patients signed an informed consent. A musculoskeletal (R1) and a general (R2) radiologist classified all tumors as benign, malignant, or indeterminate according to morphologic MRI features. Then, DWI, H-MRS, and DCE-P data of indeterminate tumors were analyzed by two additional radiologists (R3 and R4). Advanced techniques were considered individually and in combination for tumor benign-malignant differentiation using histology as the gold standard.

resultsThere were 104 (36.1%) malignant and 184 (63.9%) benign tumors. Conventional MRI analysis classified 99 tumors for R1 and 135 for R2 as benign or malignant, an accuracy for the identification of malignancy of 87.9% for R1 and 83.7% for R2, respectively. There were 189 indeterminate tumors for R1. For these tumors, the combination of DWI and H-MRS yielded the best accuracy for malignancy identification (77.4%). DWI alone provided the best sensitivity (91.8%) while the combination of DCE-P, DWI, and H-MRS yielded the best specificity (100%). The reproducibility of the advanced imaging parameters was considered good to excellent (Kappa and ICC > 0.86). An advanced MRI evidence-based evaluation algorithm was proposed allowing to characterize 28.1 to 30.1% of indeterminate non-myxoid tumors.

conclusionThe prioritized use of advanced MRI techniques allowed to decrease by about 30% the number of non-myxoid NFSTT deemed indeterminate after conventional MRI analysis alone. KEY POINTS: • When morphological characterization of non-fatty soft tissue tumors is possible, the diagnostic performance is high and there is no need for advanced imaging techniques. • Following morphologic analysis, advanced MRI techniques reduced by about 30% the number of non-myxoid indeterminate tumors. • DWI is the keystone of advanced imaging techniques yielding the best sensitivity (91.8%). Optimal specificity (> 90%) is obtained by a combination of advanced techniques.

Indexed as

Contrast MediaSoft Tissue NeoplasmsDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityContrast MediaDiffusionMagnetic resonance imagingPerfusionSoft tissue neoplasmSpectroscopy

Identifiers

PMID32885297
OpenAlexW3083508797

What OpenQuestion holds

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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.