Evidence map›Paper›PMID 40140418›Full record

ArticleScientific reports2025

Ultrasound-enhanced fine-needle biopsy improves tissue yield in head and neck tumors ex vivo.

Minna Rehell, Yohann Le Bourlout, Jetta Kelppe, Jaana Rautava, Emanuele Perra, Jouni Rantanen, Gösta Ehnholm, Nick Hayward, Kristofer Nyman, Kenneth P H Pritzker and 4 more

Abstract read
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In one paragraph

Article in Scientific reports, 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

14 authors.

Minna Rehell *Medical Ultrasonics Laboratory (MEDUSA), Department of Neuroscience and Biomedical Engineering, Aalto University, 02150, Espoo, Finland. minna.rehell@hus.fi.
Yohann Le Bourlout *Medical Ultrasonics Laboratory (MEDUSA), Department of Neuroscience and Biomedical Engineering, Aalto University, 02150, Espoo, Finland.ORCID http://orcid.org/0000-0002-8296-334X
Jetta KelppeDepartment of Pathology, HUSLAB, University of Helsinki and Helsinki University Hospital, 00029, Helsinki, Finland.
Jaana RautavaDepartment of Pathology, HUSLAB, University of Helsinki and Helsinki University Hospital, 00029, Helsinki, Finland.
Emanuele PerraMedical Ultrasonics Laboratory (MEDUSA), Department of Neuroscience and Biomedical Engineering, Aalto University, 02150, Espoo, Finland.
Jouni RantanenMedical Ultrasonics Laboratory (MEDUSA), Department of Neuroscience and Biomedical Engineering, Aalto University, 02150, Espoo, Finland.
Gösta EhnholmMedical Ultrasonics Laboratory (MEDUSA), Department of Neuroscience and Biomedical Engineering, Aalto University, 02150, Espoo, Finland.
Nick HaywardMedical Ultrasonics Laboratory (MEDUSA), Department of Neuroscience and Biomedical Engineering, Aalto University, 02150, Espoo, Finland.
Kristofer NymanRadiology, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, 00029, Helsinki, Finland.
Kenneth P H PritzkerDepartments of Laboratory Medicine and Pathobiology; Surgery, University of Toronto, Toronto, ON, Canada.
Jussi TarkkanenDepartment of Pathology, HUSLAB, University of Helsinki and Helsinki University Hospital, 00029, Helsinki, Finland.
Timo AtulaDepartment of Otorhinolaryngology - Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, 00029, Helsinki, Finland.
Heikki J NieminenMedical Ultrasonics Laboratory (MEDUSA), Department of Neuroscience and Biomedical Engineering, Aalto University, 02150, Espoo, Finland. heikki.j.nieminen@aalto.fi.ORCID http://orcid.org/0000-0001-6084-1272
Katri L S AroDepartment of Otorhinolaryngology - Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, 00029, Helsinki, Finland.

Funding

Academy of Finland 314286Academy of Finland 335799Business Finland 5607/31/2018
6 · The paper itself

Abstract

Current needle biopsy techniques, i.e., fine-needle aspiration biopsy (FNAB) and core needle biopsy (CNB), are widely utilized in cancer diagnostics but have certain shortcomings. The limited yield of diagnostic cellular material and the low sensitivity to detect various types of malignancies are well-known problems with FNAB. In contrast, CNB provides a histological sample but is typically more labor-intensive to obtain. Ultrasound-enhanced FNAB (USeFNAB) represents a novel approach that utilizes an ultrasonically oscillating fine-needle tip to enhance tissue yield. This study aims to assess the feasibility of employing USeFNAB in head and neck tumors in an ex vivo setting. Parotid gland tumors (PGT; N = 10) and neck lymph nodes of patients with head and neck cancer (HNC; N = 10) were resected and biopsied using three techniques: USeFNAB, FNAB, and CNB which served as a comparative method. The samples obtained were weighed and the yield and quality of the tissue fragments were evaluated by pathologists. Immunohistochemical staining was performed to determine whether USeFNAB had any impact on the staining characteristics of the sample. The findings showed that USeFNAB, at a 0.5 W power level, produced a tissue sample (mass) that was 1.9 times higher in the PGT group, and 4.6 times higher in the HNC group compared to FNAB. The quality of the sample obtained via USeFNAB was comparable to that of FNAB. USeFNAB did not alter the immunohistochemical staining characteristics. Overall, USeFNAB appears to be a promising tool for improving the tissue yield of fine-needle biopsy and enhancing diagnostic accuracy.

Indexed as

Head and Neck NeoplasmsParotid NeoplasmsAdultAgedBiopsy, Fine-NeedleBiopsy, Large-Core NeedleFemaleHumansLymph NodesMaleMiddle AgedUltrasonographyCytologyFirst-line diagnosticNeedle biopsyUltrasoundYield

Identifiers

PMID40140418
PMCPMC11947202

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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.