Evidence map›Paper›PMID 42379766›Full record

ArticleIn vivo (Athens, Greece)

Increasing Ablation Area Using the Arfa Ablation System: An Experimental Study in the Bovine Liver.

Toru Ishikawa, Hiroshi Hirosawa, Yuzo Tanabe, Iori Hasegawa, Nobuyuki Sakai, Terasu Honma

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). 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.

Toru IshikawaDepartment of Gastroenterology, Saiseikai Niigata Hospital, Niigata, Japan; toruishi@ngt.saiseikai.or.jp.
Hiroshi HirosawaDepartment of Clinical Engineering, Saiseikai Niigata Hospital, Niigata, Japan.
Yuzo TanabeDepartment of Clinical Engineering, Saiseikai Niigata Hospital, Niigata, Japan.
Iori HasegawaDepartment of Clinical Engineering, Saiseikai Niigata Hospital, Niigata, Japan.
Nobuyuki SakaiDepartment of Clinical Engineering, Saiseikai Niigata Hospital, Niigata, Japan.
Terasu HonmaDepartment of Gastroenterology, Saiseikai Niigata Hospital, Niigata, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimExpanding the ablation area remains a critical challenge in the treatment of hepatocellular carcinoma. Herein, we investigated the utility of various radiofrequency ablation (RFA) protocols for increasing ablation areas, using the bovine liver as a model. MATERIALS AND

methodsA bovine liver (7.2 kg) placed in a stainless-steel tray was subjected to RFA using an arfa 17-G electrode. The starting and increment wattages were varied in the linear mode. RFA was stopped after one break. The size of the discolored area, indicating thermally coagulated tissue, was measured along both the vertical and horizontal axes. The ablated area and total heat generated were calculated.

resultsRFA conducted using a 30-mm needle yielded sufficient ablation areas along both the transverse and longitudinal diameters when using a low-power start at 20 W with a 5 W/min linear increase protocol. Similarly, using a 20-mm needle, a low-power start at 20 W with a 5 W/min linear increase protocol also yielded sufficient ablation areas. Although the ablation time was prolonged in both cases, the output wattage at the breakpoint and average wattage were low.

conclusionAblation using the arfa linear mode method (

Indexed as

Carcinoma, HepatocellularCatheter AblationLiverLiver NeoplasmsRadiofrequency AblationAnimalsCattle17-gaugeAblation arealinear moderadiofrequency ablation

Identifiers

PMID42379766
PMCPMC13322049

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.