Evidence map›Paper›PMID 31559190›Full record

ReviewGland surgery2019

Ultrasound imaging classifications of thyroid nodules for malignancy risk stratification and clinical management: state of the art.

Chiara Floridi, Michaela Cellina, Giorgio Buccimazza, Antonio Arrichiello, Andrea Sacrini, Francesco Arrigoni, Giovanni Pompili, Antonio Barile, Gianpaolo Carrafiello

Registry-linked trialAbstract readReview
In one paragraph

Review in Gland surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06029946 (Comparative Study of B-mode Ultrasound, Sono-Elastography, and Diffusion-weighted Imaging MRI in the Characterization of Thyroid Nodules), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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.

NCT06029946 unknown statusnot on this mapstarted 2023, after this paper: background citation

Comparative Study of B-mode Ultrasound, Sono-Elastography, and Diffusion-weighted Imaging MRI in the Characterization of Thyroid Nodules

TypeobservationalSponsorAssiut UniversityRan2023 to 2024Enrolled50ConditionsThyroid NoduleArmselastography, ultrasound
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Predicting malignancy in thyroid AUS: ultrasonographic and clinical risk factors beyond ACR TI-RADS.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 · 2026
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  8. Diagnostic Efficiency of ACR-TIRADS Score for Differentiating Benign and Malignant Thyroid Nodules of Various Pathological Types.Medical science monitor : international medical journal of experimental and clinical research · 2024
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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.

Chiara FloridiUnit of Diagnostic and Interventional Radiology, Department of Diagnostic Services, ASST Santi Paolo e Carlo, University of Milan, Milan, Italy.
Michaela CellinaDepartment of Radiology, ASST Fatebenefratelli Sacco, Milan, Italy.
Giorgio BuccimazzaDepartment of Health Sciences, Diagnostic and Interventional Radiology, San Paolo Hospital, University of Milan, Milan, Italy.
Antonio ArrichielloDepartment of Health Sciences, Diagnostic and Interventional Radiology, San Paolo Hospital, University of Milan, Milan, Italy.
Andrea SacriniUnit of Diagnostic and Interventional Radiology, Department of Diagnostic Services, ASST Santi Paolo e Carlo, University of Milan, Milan, Italy.
Francesco ArrigoniDepartment of Biotechnological and Applied Clinical Sciences, University of l'Aquila, L'Aquila, Italy.
Giovanni PompiliUnit of Diagnostic and Interventional Radiology, Department of Diagnostic Services, ASST Santi Paolo e Carlo, University of Milan, Milan, Italy.
Antonio BarileDepartment of Biotechnological and Applied Clinical Sciences, University of l'Aquila, L'Aquila, Italy.
Gianpaolo CarrafielloDepartment of Health Sciences, Diagnostic and Interventional Radiology, San Paolo Hospital, University of Milan, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the risk of malignancy in the thyroid with ultrasound (US) is crucial in patients with nodules, as it can aid in selecting those who should have a fine-needle aspiration (FNA) biopsy performed. Many studies have examined whether the US characteristics of thyroid nodules are useful indicators of histological malignancy. Overall, these investigations have identified a few US features that are significantly more frequent in malignant thyroid nodules which can be coalesced into a defining set to be used as an indicator of a higher risk of malignancy. Despite these efforts, none of these classifications have been widely adopted worldwide, and there are still conflicting recommendations from different institutions. Understanding the role and appropriate utilization of these systems could facilitate the effective interpretation and communication of thyroid US findings among referring physicians and radiologists. In this comprehensive review, we outline the major US classification systems of thyroid nodules published in the last few years.

Indexed as

classificationmalignancythyroid noduleUltrasound (US)

Identifiers

PMID31559190
PMCPMC6755949

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.