Evidence map›Paper›PMID 37978567›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2023

Clinical and DCE-CT signs in predicting microvascular invasion in cHCC-ICC.

Zhong-Jian Liao, Lun Lu, Yi-Ping Liu, Geng-Geng Qin, Cun-Geng Fan, Yan-Ping Liu, Ning-Yang Jia, Ling Zhang

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

8 authors at 5 institutions in 1 country.

Zhong-Jian Liao *Medical Imaging Department of Ganzhou People's Hospital, Ganzhou, 341000, China.
Lun Lu *Department of Radiology, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, 200438, China.
Yi-Ping Liu *Department of Radiology, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, 200438, China.
Geng-Geng QinMedical Imaging Department of Ganzhou People's Hospital, Ganzhou, 341000, China.
Cun-Geng FanMedical Imaging Department of Ganzhou People's Hospital, Ganzhou, 341000, China.
Yan-Ping LiuMedical Imaging Department of Ganzhou People's Hospital, Ganzhou, 341000, China.
Ning-Yang JiaDepartment of Radiology, Shanghai Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, 200438, China. jianingyang6@163.com.
Ling ZhangMedical Imaging Department of Ganzhou People's Hospital, Ganzhou, 341000, China. 41733348@qq.com.
Ganzhou People's Hospital · CNEastern Hepatobiliary Surgery Hospital · CNNanfang Hospital · CNSecond Military Medical University · CNSouthern Medical University · CN

Funding

the Natural Science Foundation of Guangdong Province 2018A030313951the science and technology plan project of Ganzhou 2022--RC1339;2022--RC1349
6 · The paper itself

Abstract

backgroundTo predict the microvascular invasion (MVI) in patients with cHCC-ICC.

methodsA retrospective analysis was conducted on 119 patients who underwent CT enhancement scanning (from September 2006 to August 2022). They were divided into MVI-positive and MVI-negative groups.

resultsThe proportion of patients with CEA elevation was higher in the MVI-positive group than in the MVI-negative group, with a statistically significant difference (P = 0.02). The MVI-positive group had a higher rate of peritumoral enhancement in the arterial phase (P = 0.01) whereas the MVI-negative group had more oval and lobulated masses (P = 0.04). According to the multivariate analysis, the increase in CEA (OR = 10.15, 95% CI: 1.11, 92.48, p = 0.04), hepatic capsular withdrawal (OR = 4.55, 95% CI: 1.44, 14.34, p = 0.01) and peritumoral enhancement (OR = 6.34, 95% CI: 2.18, 18.40, p < 0.01) are independent risk factors for predicting MVI. When these three imaging signs are combined, the specificity of MVI prediction was 70.59% (series connection), and the sensitivity was 100% (parallel connection).

conclusionsOur multivariate analysis found that CEA elevation, liver capsule depression, and arterial phase peritumoral enhancement were independent risk factors for predicting MVI in cHCC-ICC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansMicrovesselsNeoplasm InvasivenessRetrospective StudiesTomography, X-Ray ComputedCombined hepatocellular intrahepatic cholangiocarcinomaComputerized tomographyMicrovascular invasion

Identifiers

PMID37978567
PMCPMC10655417
OpenAlexW4388765842

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.