Evidence map›Paper›PMID 35463338›Full record

ArticleFrontiers in oncology2022

Core Needle Biopsy Can Early and Precisely Identify Large Thyroid Masses.

Antonio Matrone, Luigi De Napoli, Liborio Torregrossa, Aleksandr Aghababyan, Piermarco Papini, Carlo Enrico Ambrosini, Rosa Cervelli, Clara Ugolini, Fulvio Basolo, Eleonora Molinaro and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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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 1 institution in 1 country.

Antonio MatroneDepartment of Clinical and Experimental Medicine, Unit of Endocrinology, University Hospital of Pisa, Pisa, Italy.
Luigi De NapoliDepartment of Surgical, Medical, Molecular Pathology and Critical Area, Unit of Endocrine Surgery, University Hospital of Pisa, Pisa, Italy.
Liborio TorregrossaDepartment of Surgical, Medical, Molecular Pathology and Critical Area, Anatomic Pathology Section, University Hospital of Pisa, Pisa, Italy.
Aleksandr AghababyanDepartment of Surgical, Medical, Molecular Pathology and Critical Area, Unit of Endocrine Surgery, University Hospital of Pisa, Pisa, Italy.
Piermarco PapiniDepartment of Surgical, Medical, Molecular Pathology and Critical Area, Unit of Endocrine Surgery, University Hospital of Pisa, Pisa, Italy.
Carlo Enrico AmbrosiniDepartment of Surgical, Medical, Molecular Pathology and Critical Area, Unit of Endocrine Surgery, University Hospital of Pisa, Pisa, Italy.
Rosa CervelliDivision of Interventional Radiology, University Hospital of Pisa, Pisa, Italy.
Clara UgoliniDepartment of Surgical, Medical, Molecular Pathology and Critical Area, Anatomic Pathology Section, University Hospital of Pisa, Pisa, Italy.
Fulvio BasoloDepartment of Surgical, Medical, Molecular Pathology and Critical Area, Anatomic Pathology Section, University Hospital of Pisa, Pisa, Italy.
Eleonora MolinaroDepartment of Clinical and Experimental Medicine, Unit of Endocrinology, University Hospital of Pisa, Pisa, Italy.
Rossella EliseiDepartment of Clinical and Experimental Medicine, Unit of Endocrinology, University Hospital of Pisa, Pisa, Italy.
Gabriele MaterazziDepartment of Surgical, Medical, Molecular Pathology and Critical Area, Unit of Endocrine Surgery, University Hospital of Pisa, Pisa, Italy.
Azienda Ospedaliera Universitaria Pisana · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Large thyroid masses, particularly if rapidly growing, are often characterized by compression and infiltration of the vital structures of the neck. Therefore, an early and precise diagnosis, not only of malignancy but also of histotype, is mandatory to set up the right therapy. The aim of this study was to evaluate the diagnostic performance of fine needle aspiration cytology (FNAC) and core needle biopsy (CNB) in this setting. Patients and Methods: We prospectively evaluated 95 patients with large and rapidly growing thyroid masses admitted to the University Hospital of Pisa between April 2014 and January 2020. All patients were submitted to FNAC and CNB in the same session. The ability of both procedures to diagnose the malignancy of the lesions, particularly the histotype, and to obtain sufficient material to perform molecular analysis was evaluated. Results: FNAC obtained adequate tumor sample to reach a diagnosis in 76 of 95 (80%) patients, while a higher percentage was obtained with CNB (92/95, 96.8%). FNAC was able to identify the malignancy of the lesion in 74 of 95 (77.9%) cases, but only in 16 of 74 (21.6%) cases was it able to define the histotype. CNB was able to define the malignancy of the lesion in all but three cases (92/95, 96.8%), and in all specimens, the histotype was identified. Moreover, in all cases, the material extracted from CNB was optimal to perform molecular analysis. No surgery-related complications were experienced with both procedures. Conclusions: CNB is a rapid and safe procedure with higher performance compared to FNAC in identifying the histotype of large and rapidly growing thyroid masses. Moreover, adequate material can be obtained to characterize the molecular profile for the treatment of potentially lethal cancers. In the era of precision medicine, CNB should be introduced in routine clinical practice as a key procedure for an early diagnosis and therapy of these diseases.

Indexed as

anaplastic thyroid carcinomacore needle biopsyfine needle aspiration cytologypoorly differentiated thyroid carcinomathyroid lymphoma

Identifiers

PMID35463338
PMCPMC9022105
OpenAlexW4225998006

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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.