Evidence map›Paper›PMID 30863167›Full record

ArticleCancer management and research2019

A tumor map generated from three-dimensional visualization of image fusion for the assessment of microwave ablation of hepatocellular carcinoma: a preliminary study.

Chao An, Xin Li, Ping Liang, Jie Yu, Zhigang Cheng, Zhiyu Han, Fangyi Liu, Linan Dong

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Article in Cancer management and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

8 authors.

Chao AnDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, 100853, China, liangping301@126.com; yu-jie301@hotmail.com.
Xin LiDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, 100853, China, liangping301@126.com; yu-jie301@hotmail.com.
Ping LiangDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, 100853, China, liangping301@126.com; yu-jie301@hotmail.com.
Jie YuDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, 100853, China, liangping301@126.com; yu-jie301@hotmail.com.
Zhigang ChengDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, 100853, China, liangping301@126.com; yu-jie301@hotmail.com.
Zhiyu HanDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, 100853, China, liangping301@126.com; yu-jie301@hotmail.com.
Fangyi LiuDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, 100853, China, liangping301@126.com; yu-jie301@hotmail.com.
Linan DongDepartment of Interventional Ultrasound, Chinese PLA General Hospital, Beijing, 100853, China, liangping301@126.com; yu-jie301@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the clinical value of a tumor map for assessing the ablative effect after ultrasound-guided percutaneous microwave ablation (US-PMWA) for hepatocellular carcinoma (HCC).

methodsThe medical records of 68 patients (49 male and 19 female, 59.9±12.7 years) with HCC who underwent US-PMWA from May 2013 to May 2017 were reviewed. A tumor map was generated from the fusion of three-dimensional (3D) visualization images based on the preoperative target tumor and postoperative ablation area, to evaluate whether the ablation area covering the tumor has reached a 5 mm ablative margin (AM). The lesions were divided into two groups according to the tumor maps: group A (failed to achieve AM) and group B (achieved AM). The cumulative local tumor progression (LTP) rates of both groups were statistically analyzed using the log-rank test.

resultsSuccess rate of tumor map generation was 100% (68/68), and no residual tumors were found. MWA-related 3D images, which included target tumor volume, ablation area volume, and residual liver ratio, were compared between groups A and B (

conclusionThe novel technology of tumor map generated from 3D visualization of image fusion is feasible and useful in evaluating the ablative effect of US-PMWA for HCC.

Indexed as

hepatocellular carcinomaimage fusionmicrowave ablationthree-dimensional visualizationtumor map

Identifiers

PMID30863167
PMCPMC6388985

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