Evidence map›Paper›PMID 40867244›Full record

ArticleCancers2025

Risk Stratification of Thyroid Nodules Using Ultrasound Cine-Loop Video Sequences.

Tabea Nikola Schmidt, Martin Freesmeyer, Christian Kühnel, Falk Gühne, Larissa Rosenbaum, Robert Drescher, Philipp Seifert

Abstract read
In one paragraph

Article in Cancers, 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

7 authors.

Tabea Nikola SchmidtClinic of Nuclear Medicine, Jena University Hospital, 07749 Jena, Germany.
Martin FreesmeyerClinic of Nuclear Medicine, Jena University Hospital, 07749 Jena, Germany.ORCID 0000-0002-6462-3851
Christian KühnelClinic of Nuclear Medicine, Jena University Hospital, 07749 Jena, Germany.ORCID 0000-0003-3307-1772
Falk GühneClinic of Nuclear Medicine, Jena University Hospital, 07749 Jena, Germany.
Larissa RosenbaumClinic of Nuclear Medicine, Jena University Hospital, 07749 Jena, Germany.
Robert DrescherClinic of Nuclear Medicine, Jena University Hospital, 07749 Jena, Germany.
Philipp SeifertClinic of Nuclear Medicine, Jena University Hospital, 07749 Jena, Germany.ORCID 0000-0002-3447-4971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesStatic image captures (SICs) are the prevailing methodology for documenting thyroid nodules (TNs) on ultrasound examinations. Ultrasound cine-loop (CL) video sequences of the thyroid enable the storage and review of the entire organ in PACS, analogous to sectional imaging modalities such as CT or MRI. Expanding on SIC, the collection of more extensive datasets is possible, with the potential to enhance diagnostic performance. However, there is an absence of reliable data concerning this process.

methodsThis retrospective, tertiary care, single-center study included all patients with cytologically and histopathologically diagnosed TNs from 01/16 to 12/23. A standardized CL protocol was routinely acquired in addition to conventional SIC. The diagnostic performance of ACR and Kwak TIRADS was examined for both CL and SIC in a PACS. Advantages, challenges, and limitations of CL were analyzed.

conclusionsIn total, 189 patients with 329 TNs (78% females, aged 54 ± 15 years; 76% diagnosed via surgery; 14% malignant) were included. On SIC, 58 TNs (18%) were not identified (all benign). When comparing CL with SIC, a strong correlation was observed for nearly all ultrasound features (echogenicity, composition, margin, and foci; each

Indexed as

Cine loopthyroid cancerthyroid nodulesTIRADSultrasound

Identifiers

PMID40867244
PMCPMC12384182

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.