↓ Skip to main content

Potential predictive factors for microvascular invasion in hepatocellular carcinoma classified within the Milan criteria

Overview of attention for article published in International Journal of Clinical Oncology, September 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
13 Mendeley
Title
Potential predictive factors for microvascular invasion in hepatocellular carcinoma classified within the Milan criteria
Published in
International Journal of Clinical Oncology, September 2017
DOI 10.1007/s10147-017-1189-8
Pubmed ID
Authors

Satoru Imura, Hiroki Teraoku, Masato Yoshikawa, Daichi Ishikawa, Shinichiro Yamada, Yu Saito, Shuichi Iwahashi, Tetsuya Ikemoto, Yuji Morine, Mitsuo Shimada

Abstract

Microvascular invasion (mvi) is an important risk factor for recurrent hepatocellular carcinoma (HCC), even after curative liver resection or orthotopic liver transplantation. However, mvi is difficult to detect preoperatively. The aim of this study was to clarify the risk factors of postoperative recurrence and investigate predictive factors of mvi before hepatectomy for HCC classified within the Milan criteria. One hundred fifty-nine patients with hepatocellular carcinoma (HCC) classified within the Milan criteria, who underwent hepatectomy, were enrolled in this study. We investigated the risk factors of recurrence. In addition, we divided them into two groups: mvi-negative group and mvi-positive group, based on pathological findings after surgery. We compared the clinicopathological factors between the two groups and determined the risk factors for mvi. Overall survival rate at 1, 3, and 5 years were 91.6%, 80.5%, and 74.9%, and the recurrence-free survival rate at 1, 3, and 5-years were 72.3%, 51.6%, and 37.2%. Risk factor analysis for tumor recurrence revealed that total bilirubin, albumin, ICGR15, AFP-L3, tumor number, mvi, and tumor stage had a significant predictive value. Multivariate analysis revealed that tumor number and mvi were significant independent risk factors for tumor recurrence. Predictive analysis for risk factors of mvi revealed that multiple tumors and AFP-L3 > 10% were significant independent risk factors for mvi in HCC classified within the Milan criteria. The mvi was one of the independent risk factors for tumor recurrence in HCC classified within the Milan criteria. Multiple tumors and high AFP-L3 value were independent predictive factors for mvi.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 15%
Student > Ph. D. Student 2 15%
Student > Bachelor 1 8%
Lecturer 1 8%
Professor 1 8%
Other 2 15%
Unknown 4 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 15%
Medicine and Dentistry 2 15%
Computer Science 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Decision Sciences 1 8%
Other 1 8%
Unknown 5 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 September 2017.
All research outputs
#20,446,373
of 23,001,641 outputs
Outputs from International Journal of Clinical Oncology
#618
of 921 outputs
Outputs of similar age
#275,647
of 315,613 outputs
Outputs of similar age from International Journal of Clinical Oncology
#10
of 12 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 921 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.