Evidence map›Paper›PMID 38720338›Full record

ArticleWorld journal of surgical oncology2024

Microinvasion in hepatocellular carcinoma: predictive factor and application for definition of clinical target volume for radiotherapy.

Huamei Yan, Lili Liu, Donghui Wang, Jianliang Xu, Yaling Sun, Shaobo Liang, Yongheng Huang, Xinzhao Hao, Nan Lin, Xiangying Xu

Abstract read
In one paragraph

Article in World journal of surgical oncology, 2024. 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
–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

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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.

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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

10 authors.

Huamei Yan *Department of Radiation Oncology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
Lili Liu *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Donghui Wang *Department of Radiation Oncology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
Jianliang XuDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
Yaling SunDepartment of Radiation Oncology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
Shaobo LiangDepartment of Radiation Oncology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
Yongheng HuangDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
Xinzhao HaoDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
Nan LinDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China. linn@mail.sysu.edu.cn.
Xiangying XuDepartment of Radiation Oncology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China. lifz1977@163.com.

Funding

Third Affiliated Hospital of Sun Yat-sen University, Clinical Research Program No. YHJH201908
6 · The paper itself

Abstract

backgroundTo investigate the correlation between microinvasion and various features of hepatocellular carcinoma (HCC), and to clarify the microinvasion distance from visible HCC lesions to subclinical lesions, so as to provide clinical basis for the expandable boundary of clinical target volume (CTV) from gross tumor volume (GTV) in the radiotherapy of HCC.

methodsHCC patients underwent hepatectomy of liver cancer in our hospital between July 2019 and November 2021 were enrolled. Data on various features and tumor microinvasion distance were collected. The distribution characteristics of microinvasion distance were analyzed to investigate its potential correlation with various features. Tumor size compared between radiographic and pathologic samples was analyzed to clarify the application of pathologic microinvasion to identify subclinical lesions of radiographic imaging.

resultsThe average microinvasion distance was 0.6 mm, with 95% patients exhibiting microinvasion distance less than 3.0 mm, and the maximum microinvasion distance was 4.0 mm. A significant correlation was found between microinvasion and liver cirrhosis (P = 0.036), serum albumin level (P = 0.049). Multivariate logistic regression analysis revealed that HCC patients with cirrhosis had a significantly lower risk of microinvasion (OR = 0.09, 95%CI = 0.02 ~ 0.50, P = 0.006). Tumor size was overestimated by 1.6 mm (95%CI=-12.8 ~ 16.0 mm) on radiographic size compared to pathologic size, with a mean %Δsize of 2.96% (95%CI=-0.57%~6.50%). The %Δsize ranged from - 29.03% to 34.78%.

conclusionsCTV expanding by 5.4 mm from radiographic GTV could include all pathologic microinvasive lesions in the radiotherapy of HCC. Liver cirrhosis was correlated with microinvasion and were independent predictive factor of microinvasion in HCC.

Indexed as

Carcinoma, HepatocellularHepatectomyLiver NeoplasmsNeoplasm InvasivenessTumor BurdenAdultAgedFemaleFollow-Up StudiesHumansLiver CirrhosisMaleMiddle AgedPrognosisRadiotherapy Planning, Computer-AssistedRetrospective StudiesClinical target volumeClinicopathologic correlationHepatocellular carcinomaMicroinvasionRadiotherapy

Identifiers

PMID38720338
PMCPMC11077777

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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.