Evidence map›Paper›PMID 27781199›Full record

ArticleLiver cancer2016

Feasibility of Extracted-Overlay Fusion Imaging for Intraoperative Treatment Evaluation of Radiofrequency Ablation for Hepatocellular Carcinoma.

Yuki Makino, Yasuharu Imai, Takumi Igura, Sachiyo Kogita, Yoshiyuki Sawai, Kazuto Fukuda, Takayuki Iwamoto, Junya Okabe, Manabu Takamura, Norihiko Fujita and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Liver cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03026452 (Effectivity and Safety of Ultrasound-guided Percutaneously Radiofrequency Ablation for Liver Cancer), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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.

NCT03026452 phase1 / phase2unknown statusnot on this map

Effectivity and Safety of Ultrasound-guided Percutaneously Radiofrequency Ablation for Liver Cancer

TypeinterventionalSponsorFirst Affiliated Hospital of Zhejiang UniversityRan2013 to 2018Enrolled400ConditionsLiver CancerArmsUS-guided RFA
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Percutaneous Radiofrequency Ablation for Liver Tumors: Technical Tips.Interventional radiology (Higashimatsuyama-shi (Japan) · 2020
    Review
  9. Article
  10. Review
  11. Article
  12. Article
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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

14 authors.

Yuki MakinoDepartment of Gastroenterology, Ikeda Municipal Hospital, Ikeda, Japan.
Yasuharu ImaiDepartment of Gastroenterology, Ikeda Municipal Hospital, Ikeda, Japan.
Takumi IguraDepartment of Gastroenterology, Ikeda Municipal Hospital, Ikeda, Japan.
Sachiyo KogitaDepartment of Gastroenterology, Ikeda Municipal Hospital, Ikeda, Japan.
Yoshiyuki SawaiDepartment of Gastroenterology, Ikeda Municipal Hospital, Ikeda, Japan.
Kazuto FukudaDepartment of Gastroenterology, Ikeda Municipal Hospital, Ikeda, Japan.
Takayuki IwamotoDepartment of Gastroenterology, Ikeda Municipal Hospital, Ikeda, Japan.
Junya OkabeDepartment of Gastroenterology, Ikeda Municipal Hospital, Ikeda, Japan.
Manabu TakamuraDepartment of Radiology, Ikeda Municipal Hospital, Ikeda, Japan.
Norihiko FujitaDepartment of Radiology, Ikeda Municipal Hospital, Ikeda, Japan.
Masatoshi HoriDepartment of Radiology, Osaka University Graduate School of Medicine, Suita, Japan.
Tetsuo TakeharaDepartment of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, Suita, Japan.
Masatoshi KudoDepartment of Gastroenterology and Hepatology, Kinki University Faculty of Medicine, Osaka-Sayama, Japan.
Takamichi MurakamiDepartment of Radiology, Kinki University Faculty of Medicine, Osaka-Sayama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsExtracted-overlay fusion imaging is a novel computed tomography/magnetic resonance-ultrasonography (CT/MR-US) imaging technique in which a target tumor with a virtual ablative margin is extracted from CT/MR volume data and synchronously overlaid on US images. We investigated the applicability of the technique to intraoperative evaluation of radiofrequency ablation (RFA) for hepatocellular carcinoma (HCC).

methodsThis retrospective study analyzed 85 HCCs treated with RFA using extracted-overlay fusion imaging for guidance and evaluation. To perform RFA, an electrode was inserted targeting the tumor and a virtual 5-mm ablative margin overlaid on the US image. Following ablation, contrast-enhanced US (CEUS) was performed to assess the ablative margin, and the minimal ablative margins were categorized into three groups: (I) margin <0 mm (protrusion), (II) margin 0 to <5 mm, and (III) margin ≥5 mm. Margin assessment was based on the positional relationship between the overlaid tumor plus margin and the perfusion defect of the ablation zone. Tumors in group I underwent repeat ablation until they were in groups II or III. The final classifications were compared with those obtained by retrospectively created fusion images of pre- and post-RFA CT or MR imaging (CT-CT/MR-MR fusion imaging).

resultsTreatment evaluation was impossible using CEUS in six HCCs because the tumors were located far below the body surface. Of the remaining 79 HCCs, the categorizations of minimal ablative margins between CEUS extracted-overlay fusion imaging and CT-CT/MR-MR fusion imaging were in agreement for 72 tumors (91.1%) (Cohen's quadratic-weighted kappa coefficient 0.66, good agreement, p<0.01).

conclusionsExtracted-overlay fusion imaging combined with CEUS is feasible for the evaluation of RFA and enables intraoperative treatment evaluation without the need to perform contrast-enhanced CT.

Indexed as

Contrast-enhanced ultrasonographyExtracted-overlay fusion imagingHepatocellular carcinomaMultimodality fusion imagingRadiofrequency ablation

Identifiers

PMID27781199
PMCPMC5075812

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Registered trials

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.