Evidence map›Paper›PMID 39107426›Full record

ArticleScientific reports2024

Enhancing procedural decision making with cone beam CT in renal artery embolization.

Sung-Joon Park, Youngjong Cho, Hyoung Nam Lee, Sangjoon Lee, Hwan Hoon Chung, Chan Ho Park

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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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

6 authors.

Sung-Joon Park *Department of Radiology, Korea University College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea.
Youngjong Cho *Department of Radiology, University of Ulsan College of Medicine, Gangneung Asan Hospital, Gangneung, Republic of Korea.
Hyoung Nam LeeDepartment of Radiology, Soonchunhyang University College of Medicine, Cheonan Hospital, Cheonan, Republic of Korea. radiology2010.hnl@gmail.com.
Sangjoon LeeVascular Center, The Eutteum Orthopedic Surgery Hospital, Paju, Republic of Korea.
Hwan Hoon ChungDepartment of Radiology, Korea University College of Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea.
Chan Ho ParkDepartment of Radiology, Soonchunhyang University College of Medicine, Cheonan Hospital, Cheonan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cone-beam computed tomography (CBCT) has proven to be a safe and effective adjunctive imaging tool for interventional radiology. Nevertheless, limited studies have examined the application of CBCT in renal artery embolization (RAE). The objective of this study is to evaluate the role of CBCT in intra-procedural decision-making for RAE. This multicenter retrospective study included 40 consecutive patients (age: 55.9 ± 16.5 years; male, 55%) who underwent CBCT during RAE from January 2019 to January 2023. The additional information provided by CBCT was classified into Category 1 (no additional information), Category 2 (more information without changing the treatment plan), and Category 3 (valuable information that led to a change in the treatment plan). CBCT did not add unique information for four patients (10%) classified as Category 1. CBCT clarified ambiguous angiographic findings and confirmed the existing treatment plan for 19 patients (47.5%) graded as Category 2; complex vascular anatomy was explained (n = 13), and a correlation between vascular territory and target lesion was established (n = 6). CBCT offered valuable information that was not visible on digital subtraction angiography and changed the treatment plan for 17 patients categorized as Category 3; a mismatch between the vascular territory and the target lesion led to the identification of alternative (n = 3) and additional feeders (n = 8); and the extent of embolization was reduced by using automatic feeder detection software (n = 6). CBCT is an efficient tool that aids in the decision-making process during the embolization procedure by providing supplementary imaging information. This additional information enables the confident identification of target vessels, facilitates superselective embolization, prevents non-target embolization, and helps locate missing feeders.

Indexed as

Cone-Beam Computed TomographyEmbolization, TherapeuticRenal ArteryAdultAgedAngiography, Digital SubtractionClinical Decision-MakingDecision MakingFemaleHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID39107426
PMCPMC11303547

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