Evidence map›Paper›PMID 41050240›Full record

ArticleActa clinica Croatica2024

EVALUATION OF ULTRASOUND AS AN IMAGING MODALITY IN THE ASSESSMENT OF CAROTID ARTERY INVASION IN PATIENTS WITH HEAD AND NECK CANCER.

Tijana Pandurović, Damir Štimac, Tajana Turk, Siniša Pešić, Vedran Zubčić, Matea Bogović, Nenad Čekić, Luka Šimić

Abstract read
In one paragraph

Article in Acta clinica Croatica, 2024. 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

8 authors.

Tijana PandurovićDepartment of Radiology,Vukovar National Memorial Hospital, Vukovar, Croatia.
Damir ŠtimacDepartment of Radiology,Vukovar National Memorial Hospital, Vukovar, Croatia.
Tajana TurkDepartment of Radiology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
Siniša PešićDepartment of Interventional and Diagnostic Radiology, Osijek University Hospital Center, Osijek, Croatia.
Vedran ZubčićDepartment of Otorhinolaryngology and Maxillofacial Surgery, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
Matea BogovićDepartment of Radiology,Vukovar National Memorial Hospital, Vukovar, Croatia.
Nenad ČekićDepartment of Anatomy, Histology, Embryology, Pathologic Anatomy and Pathologic Histology, Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
Luka ŠimićFaculty of Electrical Engineering, Computer Science and Information Technology of Osijek, Osijek, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor invasion of carotid arteries (CA) is found in 2%-7% of patients with head and neck cancer (HNC). There are no standardized criteria to evaluate the invasion. Tumor invasion of CA is assessed by using computerized tomography (CT) and magnetic resonance imaging. Ultrasound was also used but the method has not become daily routine. The aim of this study was to examine the effect of tumor invasion on CA dynamics and to evaluate the role of ultrasonography in the diagnosis of invasion. The study was conducted on two groups of 22 patients each. The first group consisted of patients with confirmed HNC and CA infiltration, while the second group consisted of patients without any data of HNC. Motion of the CA wall was assessed using ultrasound from which a CA was segmented and then the amount of motion was assessed by optical flow calculation. All patients with a CT-verified CA infiltration had an altered CA motion. The research showed that tumor-infiltrated CA had an altered dynamic when viewed on ultrasound.

Indexed as

Carotid ArteriesHead and Neck NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedNeoplasm InvasivenessTomography, X-Ray ComputedUltrasonographyCarotid artery invasionHead and neck cancerOptical flowSegmentationUltrasound

Identifiers

PMID41050240
PMCPMC12490457

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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.