Evidence map›Paper›PMID 41303583›Full record

ArticleInternational journal of molecular sciences2025

Inside the Matrix: Integrated Cytology and Molecular Testing of Thyroid FNAC Samples Using a Commercial Synthetic 3D Scaffold.

Diana Raluca Streinu, Dana Liana Stoian, Octavian Constantin Neagoe, Mihnea Derban, Paula Diana Ciordas, Catalin Marian

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Diana Raluca StreinuDepartment of Doctoral Studies, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0009-0001-5118-2989
Dana Liana StoianDr. D Medical Center, 300029 Timisoara, Romania.ORCID 0000-0002-0926-9511
Octavian Constantin NeagoeDr. D Medical Center, 300029 Timisoara, Romania.ORCID 0000-0001-7084-758X
Mihnea DerbanDepartment of Pathology, CF Clinical Hospital, 300310 Timisoara, Romania.
Paula Diana CiordasDepartment 4-Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Catalin MarianDepartment 4-Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0002-7749-1384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate preoperative assessment of thyroid nodules remains challenging, particularly in indeterminate cytological categories. Integrating molecular testing into cytology could improve diagnostic precision, enable timely intervention, and support better risk stratification and patient management. This proof-of-concept study evaluated the feasibility of performing molecular testing on fine-needle aspiration cytology (FNAC) samples processed on CytoMatrix, a three-dimensional synthetic scaffold designed to capture and preserve cellular material. Thirty-three thyroid FNAC specimens were processed on CytoMatrix, and cytological diagnoses were mirrored to the 2023 Bethesda System for Reporting Thyroid Cytopathology and correlated with final histopathology. DNA was extracted from paraffin-embedded CytoMatrix sections and analyzed for the

Indexed as

CytodiagnosisThyroid GlandThyroid NeoplasmsThyroid NoduleAdultBiopsy, Fine-NeedleFemaleHumansMaleMiddle AgedMutationProto-Oncogene Proteins B-rafThyroid Cancer, PapillaryBRAF protein, humanProto-Oncogene Proteins B-raf3D-scaffoldBRAF V600ECytoMatrixfine-needle aspirationmolecular diagnosticsthyroid cytology

Identifiers

PMID41303583
PMCPMC12652815

What OpenQuestion holds

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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.