Evidence map›Paper›PMID 34181206›Full record

ArticleLa Radiologia medica2021

Imaging biomarkers in the diagnosis of salivary gland tumors: the value of lesion/parenchyma ratio of perfusion-MR pharmacokinetic parameters.

Francesco Mungai, Giovanni Battista Verrone, Luigi Bonasera, Eleonora Bicci, Michele Pietragalla, Cosimo Nardi, Valentina Berti, Lorenzo Nicola Mazzoni, Vittorio Miele

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Article in La Radiologia medica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  4. Salivary gland pathologies: evolution in classification and association with unique genetic alterations.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
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  6. Radiomics in Lung Metastases: A Systematic Review.Journal of personalized medicine · 2023
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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

9 authors.

Francesco MungaiDepartment of Diagnostic Imaging, Careggi University Hospital, Largo Brambilla 3, 50134, Firenze (FI), Italy. f.mungai@gmail.com.ORCID http://orcid.org/0000-0002-5212-2136
Giovanni Battista VerroneDepartment of Diagnostic Imaging, Careggi University Hospital, Largo Brambilla 3, 50134, Firenze (FI), Italy.
Luigi BonaseraDepartment of Diagnostic Imaging, Careggi University Hospital, Largo Brambilla 3, 50134, Firenze (FI), Italy.
Eleonora BicciDepartment of Diagnostic Imaging, Careggi University Hospital, Largo Brambilla 3, 50134, Firenze (FI), Italy.
Michele PietragallaDepartment of Experimental and Clinical Biomedical Sciences, School of Human Health Sciences, University of Florence, Largo Brambilla 3, 50134, Firenze (FI), Italy.
Cosimo NardiDepartment of Experimental and Clinical Biomedical Sciences, School of Human Health Sciences, University of Florence, Largo Brambilla 3, 50134, Firenze (FI), Italy.
Valentina BertiDepartment of Experimental and Clinical Biomedical Sciences, School of Human Health Sciences, University of Florence, Largo Brambilla 3, 50134, Firenze (FI), Italy.
Lorenzo Nicola MazzoniDepartment of Medical Physics, Careggi University Hospital, Largo Brambilla 3, 50134, Firenze (FI), Italy.
Vittorio MieleDepartment of Diagnostic Imaging, Careggi University Hospital, Largo Brambilla 3, 50134, Firenze (FI), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeMorphologic magnetic resonance imaging (MRI) for characterization of salivary gland tumors has limited utility, and the use of perfusion MRI data in the clinical setting is controversial. We examined the potential of tissue-normalized dynamic contrast-enhanced (DCE) MRI pharmacokinetic parameters of salivary gland tumors as imaging biomarkers for characterization and differentiation between benign and malignant lesions. MATERIALS AND

methodsDCE-MR images acquired from 60 patients with parotid and submandibular gland tumors were retrospectively reviewed. Pharmacokinetic parameters as transfer constant (Ktrans), rate constant (Kep), extracellular space volume (Ve), fractional plasma volume (Vp), and AEC (area of all times enhancement curve) were measured on both the lesion and the normal contralateral salivary gland parenchyma. Lesion/parenchyma ratio (L/P) for each parameter was calculated.

resultsFive groups of lesions were identified (reference: histopathology): pleomorphic adenomas(n = 20), Warthin tumors(n = 16), other benign entities(n = 4), non-Hodgkin lymphomas(n = 4), and malignancies(n = 16). Significant differences were seen for mean values of L/PKtrans (higher in malignancies), L/PKep (lower in adenomas than Warthin tumors), L/PVe (lower in Warthin tumors and lymphomas), L/PVp (higher in Warthin tumors and malignancies than adenomas), and L/PAEC (higher in malignancies). Significant differences were found between benign and malignant (non-lymphoproliferative) lesions in mean value of L/PKtrans (0.485 and 1.581), L/PVp (1.288 and 2.834), and L/PAEC (0.682 and 1.910). ROC analysis demonstrated the highest AUC (0.96) for L/PAEC, with sensitivity and specificity for malignancy of 93.8% and 97.5% (cutoff value = 1.038).

conclusionLesion/parenchyma ratio of DCE-MRI pharmacokinetic data could be helpful for recognizing the principal types of salivary gland tumors; L/PAEC seems a valuable biomarker for differentiating benign from malignant tumors.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorContrast MediaDiagnosis, DifferentialFemaleHumansImage EnhancementMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesSalivary Gland NeoplasmsSalivary GlandsSensitivity and SpecificityBiomarkers, TumorContrast MediaDynamic contrast-enhanced MRIImaging biomarkersLesion/parenchyma ratioPharmacokinetic analysisSalivary gland tumors

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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.