Evidence map›Paper›PMID 35671099›Full record

ArticleThe British journal of radiology2022

Dose length product and outcome of CT fluoroscopy-guided interventions using a new 320-detector row CT scanner with deep-learning reconstruction and new bow-tie filter.

Tomohiro Matsumoto, Kazuyuki Endo, Shota Yamamoto, Satoshi Suda, Kosuke Tomita, Shunsuke Kamei, Terumitsu Hasebe, Kazuo Awai, Kensuke Osaragi, Rika Yoshimatsu and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 9 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

11 authors at 3 institutions in 1 country.

Tomohiro MatsumotoDepartment of Diagnostic and Interventional Radiology, Kochi Medical School, Kochi University, Nankoku, Japan.ORCID 0000-0002-2375-4919
Kazuyuki EndoDepartment of Radiological technology, Tokai University Hachioji Hospital, Tokai University School of Medicine, 1838 Ishikawa-machi, Hachioji, Tokyo, Japan.
Shota YamamotoDepartment of Radiology, Tokai University Hachioji Hospital, Tokai University School of Medicine, 1838 Ishikawa-machi, Hachioji, Tokyo, Japan.
Satoshi SudaDepartment of Radiology, Tokai University Hachioji Hospital, Tokai University School of Medicine, 1838 Ishikawa-machi, Hachioji, Tokyo, Japan.
Kosuke TomitaDepartment of Radiology, Tokai University Hachioji Hospital, Tokai University School of Medicine, 1838 Ishikawa-machi, Hachioji, Tokyo, Japan.
Shunsuke KameiDepartment of Radiology, Tokai University Hachioji Hospital, Tokai University School of Medicine, 1838 Ishikawa-machi, Hachioji, Tokyo, Japan.
Terumitsu HasebeDepartment of Radiology, Tokai University Hachioji Hospital, Tokai University School of Medicine, 1838 Ishikawa-machi, Hachioji, Tokyo, Japan.
Kazuo AwaiDepartment of Diagnostic Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, Japan.
Kensuke OsaragiDepartment of Diagnostic and Interventional Radiology, Kochi Medical School, Kochi University, Nankoku, Japan.
Rika YoshimatsuDepartment of Diagnostic and Interventional Radiology, Kochi Medical School, Kochi University, Nankoku, Japan.
Takuji YamagamiDepartment of Diagnostic and Interventional Radiology, Kochi Medical School, Kochi University, Nankoku, Japan.
Tokai University Hachioji Hospital · JPKōchi University · JPHiroshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the dose length product (DLP) and outcomes of CT fluoroscopy (CTF)-guided interventions using a novel 320-detector row CT scanner with deep-learning reconstruction (DLR) and a new bow-tie filter (

methodsCTF-guided interventions performed using Prism and Vision were retrospectively investigated in terms of the technical success rates, clinical success rates of biopsies, complications, DLPs of total CT scans (total DLPs) from February 2019 to January 2021. The total CT scans included pre-interventional CT scans, CTF scans during the CTF-guided procedure, additional CT scans for additional treatment, CTF scans for additional treatment, and post-interventional CT scans.

resultsIn this study, 87 and 85 CTF-guided interventions were performed using Vision (Vision group) and Prism (Prism group), respectively. There was no significant difference in the technical success rate (96.6%

conclusionsCTF-guided interventions on Prism reduce the total DLP without performance degradation of the intervention. ADVANCES IN KNOWLEDGE: The total DLPs of biopsies and drainages/aspirations in the Prism group decreased by 49 and 63%, respectively.

Indexed as

Deep LearningRadiography, InterventionalFluoroscopyHumansRadiation DosageRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID35671099
PMCPMC10162057
OpenAlexW4281772257

What OpenQuestion holds

Textmetadata
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.