Evidence map›Paper›PMID 34966520›Full record

ArticleJournal of healthcare engineering2021

Evaluation of 3D-CEUS in the Recurrence of Liver Cancer after Radiofrequency Ablation.

Lianjie Bai, Xinping Wang, Shenglong Shi, Jian Gao, Xing Li, Ying Wang, Maitao Jiang, Chunlei Zheng, Huilin Liu

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Lianjie BaiDepartment of Ultrasound, The Second Hospital Affiliated with Qiqihar Medical University, Qiqihar 161000, Heilongjiang, China.
Xinping WangDepartment of Neurology, The Third Hospital Affiliated with Qiqihar Medical University, Qiqihar 161000, Heilongjiang, China.
Shenglong ShiDepartment of Ultrasound, The Second Hospital Affiliated with Qiqihar Medical University, Qiqihar 161000, Heilongjiang, China.
Jian GaoDepartment of Ultrasound, Infectious Diseases Hospital, Qiqihar 161000, Heilongjiang, China.
Xing LiDepartment of Ultrasound, The Second Hospital Affiliated with Qiqihar Medical University, Qiqihar 161000, Heilongjiang, China.
Ying WangDepartment of Ultrasound, The Second Hospital Affiliated with Qiqihar Medical University, Qiqihar 161000, Heilongjiang, China.
Maitao JiangDepartment of Ultrasound, The First Hospital Affiliated with Harbin Medical University, Qiqihar 150001, Heilongjiang, China.
Chunlei ZhengDepartment of Oncology Surgery, The Second Hospital Affiliated with Qiqihar Medical University, Qiqihar 161000, Heilongjiang, China.
Huilin LiuDepartment of Ultrasound, The Second Hospital Affiliated with Qiqihar Medical University, Qiqihar 161000, Heilongjiang, China.ORCID 0000-0002-8435-9664
Qiqihar Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radiofrequency ablation (RFA) has the similar curative effects to surgery, but RFA will lead to higher postoperative local recurrence rate. 3D-CEUS is a minimally invasive examination method, which is used to analyze the sensitivity to postoperative recurrence in this study. Methods: The clinical data of 60 patients with liver cancer admitted to our hospital (February 2018-February 2020) were retrospectively analyzed. All patients were treated with RFA and were followed up with 3D-CEUS, MRI, and enhanced CT examination after surgery. The ROC curve was used to analyze the differences of different examination methods in judging postoperative recurrence. Results: For the 60 patients, 52 patients (86.7%) had a single lesion and 8 patients (13.3%) had multiple lesions, with a total of 72 lesions. After RFA, 56 lesions (77.8%) were completely inactivated and 16 lesions (22.2%) remained. Totally inactivated lesions were detected as follows: 51 (91.1%) by 3D-CEUS, 42 (75.0%) by MRI, and 50 (89.3%) by enhanced CT. During a 2-year follow-up, a total of 26 recurrent lesions were detected, 24 (92.3%) by 3D-CEUS, 12 (46.2%) by MRI, and 25 (96.2%) by enhanced CT, indicating that the sensitivity of 3D-CEUS and enhanced CT was obviously higher than that of MRI ( Conclusion: As a new imaging examination method based on artificial intelligence, 3D-CEUS has a high sensitivity in patients with liver cancer who underwent RFA, which can effectively judge the recurrence after surgery and should be widely used in practice.

Indexed as

Catheter AblationLiver NeoplasmsArtificial IntelligenceContrast MediaHumansRetrospective StudiesUltrasonographyContrast Media

Identifiers

PMID34966520
PMCPMC8712161
OpenAlexW4200452246

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.