Evidence map›Paper›PMID 39594821›Full record

ArticleCancers2024

Cervical CT Angiography: The Advantage of Ultra-High-Resolution CT Versus Conventional HRCT.

Junji Ito, Tsuneo Yamashiro, Hayato Tomita, Joichi Heianna, Sadayuki Murayama, Akihiro Nishie

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Junji ItoDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa 903-0215, Japan.
Tsuneo YamashiroDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa 903-0215, Japan.ORCID 0000-0002-1904-2548
Hayato TomitaDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa 903-0215, Japan.ORCID 0000-0002-7024-3521
Joichi HeiannaDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa 903-0215, Japan.ORCID 0000-0002-8869-6924
Sadayuki MurayamaDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa 903-0215, Japan.ORCID 0000-0002-1484-4701
Akihiro NishieDepartment of Radiology, Graduate School of Medical Science, University of the Ryukyus, Okinawa 903-0215, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesPre-treatment depiction of the cervical arteries is important for better intra-arterial infusion therapy of malignant head and neck tumors. There have not been any studies on the image quality of ultra-high-resolution computed tomography (U-HRCT) for cervical CT angiography (CTA). The aim of this study is to evaluate the advantages of U-HRCT over conventional HRCT for cervical CTA; Methods: Forty-one patients underwent cervical CTA prior to selective intra-arterial infusion chemotherapy for malignant head and neck tumors. Twenty-two patients were scanned on conventional HRCT, while the remaining nineteen on U-HRCT. U-HRCT super-high-resolution (SHR) mode was used in 8 patients, while high-resolution (HR) mode was used in 11 patients. On CTA, the visibility of 18 branches from bilateral external carotid arteries was evaluated using a 5-point scale by three radiologists in consensus. Prior to the patient study, a head-neck CT phantom study regarding mock arterial density and its visibility was performed; Results: Regarding the patient study, the mean score of the SHR mode for visibility was significantly higher than that of conventional HRCT in 17 of 18 arteries (

Indexed as

cervical arterycomputed tomographyCT angiographyultra-high-resolution CT

Identifiers

PMID39594821
PMCPMC11592584

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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.