Evidence map›Paper›PMID 31527543›Full record

ArticleCancers2019

MALDI-MSI as a Complementary Diagnostic Tool in Cytopathology: A Pilot Study for the Characterization of Thyroid Nodules.

Giulia Capitoli, Isabella Piga, Stefania Galimberti, Davide Leni, Angela Ida Pincelli, Mattia Garancini, Francesca Clerici, Allia Mahajneh, Virginia Brambilla, Andrew Smith and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

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  10. The application of high-throughput proteomics in cytopathology.Journal of pathology and translational medicine · 2022
    Review
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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 2 institutions in 1 country.

Giulia CapitoliCenter of Biostatistics for Clinical Epidemiology, Department of Medicine and Surgery, University of Milano - Bicocca, 20900 Vedano al Lambro, Italy. g.capitoli@campus.unimib.it.
Isabella PigaProteomics and Metabolomics platform, Department of Medicine and Surgery, University of Milano - Bicocca, 20900 Vedano al Lambro, Italy. isabella.piga@unimib.it.
Stefania GalimbertiCenter of Biostatistics for Clinical Epidemiology, Department of Medicine and Surgery, University of Milano - Bicocca, 20900 Vedano al Lambro, Italy. stefania.galimberti@unimib.it.
Davide LeniDepartment of radiology, San Gerardo Hospital, 20900 ASST Monza, Italy. daleni@tin.it.
Angela Ida PincelliDepartment of Endocrinology, San Gerardo Hospital, 20900 ASST Monza, Italy. pincelliangelaida@gmail.com.
Mattia GaranciniDepartment of Surgery, San Gerardo Hospital, 20900 ASST Monza, Italy. mattia_garancini@yahoo.it.
Francesca ClericiProteomics and Metabolomics platform, Department of Medicine and Surgery, University of Milano - Bicocca, 20900 Vedano al Lambro, Italy. f.clerici10@campus.unimib.it.
Allia MahajnehProteomics and Metabolomics platform, Department of Medicine and Surgery, University of Milano - Bicocca, 20900 Vedano al Lambro, Italy. a.mahajneh1@campus.unimib.it.
Virginia BrambillaPathology, Department of Medicine and Surgery, University of Milano - Bicocca, San Gerardo Hospital, 20900 ASST Monza, Italy. virginia.brambilla.vb@gmail.com.
Andrew SmithProteomics and Metabolomics platform, Department of Medicine and Surgery, University of Milano - Bicocca, 20900 Vedano al Lambro, Italy. Andrew.smith@unimib.it.
Fulvio MagniProteomics and Metabolomics platform, Department of Medicine and Surgery, University of Milano - Bicocca, 20900 Vedano al Lambro, Italy. Fulvio.magni@unimib.it.
Fabio PagniPathology, Department of Medicine and Surgery, University of Milano - Bicocca, San Gerardo Hospital, 20900 ASST Monza, Italy. fabio.pagni@unimib.it.
University of Milano-Bicocca · ITAzienda Ospedaliera San Gerardo · IT

Funding

Associazione Italiana per la Ricerca sul Cancro MFAG- id. 18445
6 · The paper itself

Abstract

The present study applies for the first time as Matrix-Assisted Laser Desorption/Ionization (MALDI) Mass Spectrometry Imaging (MSI) on real thyroid Fine Needle Aspirations (FNAs) to test its possible complementary role in routine cytology in the diagnosis of thyroid nodules. The primary aim is to evaluate the potential employment of MALDI-MSI in cytopathology, using challenging samples such as needle washes. Firstly, we designed a statistical model based on the analysis of Regions of Interest (ROIs), according to the morphological triage performed by the pathologist. Successively, the capability of the model to predict the classification of the FNAs was validated in a different group of patients on ROI and pixel-by-pixel approach. Results are very promising and highlight the possibility to introduce MALDI-MSI as a complementary tool for the diagnostic characterization of thyroid nodules.

Indexed as

Fine Needle AspirationMALDI-MSIproteomicsthyroid carcinoma

Identifiers

PMID31527543
PMCPMC6769566
OpenAlexW2973575094

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.