Nomogram prediction of individual prognosis of patients with hepatocellular carcinoma

Wu, Gang; Gao, Fangyuan; Chen, Jialiang; Li, Yuxin; Geng, Mingfan; Sun, Le; Liu, Yao; Liu, Huimin; Yang, Xue; Wang, Rui; Feng, Ying; Wang, Xianbo

doi:10.1186/s12885-017-3062-6

Cited by 55 publications

(57 citation statements)

References 43 publications

(38 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In-depth studies determined that APRI also had potential prognostic value and could be used as a stable marker to predict the outcome of patients with HCC 11–13. It has been known that AST and PLT play an important role in tumor progression and are associated with prognosis in several human cancers, including HCC 15,30,31. APRI is a combination of the above two predictors, and it is low in cost and more easily detectable.…”

Section: Discussionmentioning

confidence: 99%

Prognostic value of aspartate aminotransferase to platelet ratio index as a noninvasive biomarker in patients with hepatocellular carcinoma: a meta-analysis

Zeng¹,

Zhang²

2018

CMAR

View full text Add to dashboard Cite

BackgroundThe aspartate aminotransferase-to-platelet ratio index (APRI) has been correlated with clinical outcome in patients with hepatocellular carcinoma (HCC), but controversial results were obtained with previous studies. This study was aimed to evaluate the prognostic value of the APRI in patients with HCC.Materials and methodsA literature survey was conducted by searching PubMed, Web of Science, Cochrane library, Embase, Wanfang, and National Knowledge Infrastructure for publications released prior to March 1, 2018. Pooled hazard ratios (HRs) with 95% CIs were calculated to assess the association between the APRI and HCC prognosis using Stata SE 12.0 software.ResultsAnalysis was performed on a total of 15 articles that included 5,051 patients. The pooled results showed that APRI was significantly associated with overall survival for patients with HCC (HR =1.62, 95% CI: 1.23–2.01). Furthermore, HCC patients with higher APRI were at significantly greater risk of short recurrence-free survival (HR =1.83, 95% CI: 1.48–2.18) and poor disease-free survival (HR =1.46, 95% CI: 1.26–1.66).ConclusionsAPRI could serve as a promising and noninvasive marker for predicting HCC prognosis.

show abstract

Section: Discussionmentioning

confidence: 99%

Prognostic value of aspartate aminotransferase to platelet ratio index as a noninvasive biomarker in patients with hepatocellular carcinoma: a meta-analysis

Zeng¹,

Zhang²

2018

CMAR

View full text Add to dashboard Cite

show abstract

“…The possible reasons are limited cases of multifocal lesions and short follow-up time in the present study. Furthermore, in the subgroup analysis, the high-risk group tended to show higher AFP, higher AST, higher PLR, larger tumor size, more hemorrhage, more intraoperative transfusion, presence of MVI and incomplete tumor capsule, which are proven prognostic indicators of HCC, 23,24,50,51 indicating the potential association between the radiomics signature and clinicopathologic factors. In this light, texture parameters are linked to clinicopathologic factors, which could assist clinicians in prognostic evaluation.…”

Section: Dicussionmentioning

confidence: 95%

“…21 Intra-tumoral heterogeneity can reveal tumor growth, metastatic potential and response to treatment, which may be a potential prognostic predictor of disease outcome 22 . However, previous studies were mainly based on clinicopathological factors, 23,24 and seldom involved imaging information, or only included a small number of subjective imaging parameters. 25,26 What' more, a large amount of tumor information hiding behind the imaging is ignored.…”

Section: Dicussionmentioning

confidence: 99%

A radiomics nomogram for prediction of overall survival in hepatocellular carcinoma after hepatectomy

Liu¹,

Li²,

Liu³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background Hepatocellular carcinoma (HCC) is associated with dismal prognosis, and prediction of the prognosis of HCC can assist the therapeutic decisions. More and more studies showed that the texture parameters of images can reflect the heterogeneity of the tumor, and may have the potential to predict the prognosis of patients with HCC after surgical resection. The aim of the study was to investigate the prognostic value of computed tomography (CT) texture parameters for patients with HCC after hepatectomy, and try to develop a radiomics nomograms by combining clinicopathological factors with radiomics signature.Methods 544 eligible patients were enrolled in the retrospective study and randomly divided into training cohort (n=381) and validation cohort (n=163). The regions of interest (ROIs) of tumor is delineated, then the corresponding texture parameters are extracted. The texture parameters were selected by using the least absolute shrinkage and selection operator (LASSO) Cox model in training cohort, and the radiomics score (Rad-score) was generated. According to the cut-off value of the Rad-score calculated by the receiver operating characteristic (ROC) curve, the patients were divided into high-risk group and low-risk group. The prognosis of the two groups was compared and validated in the validation cohort. Univariate and multivariable analyses by COX proportional hazard regression model were used to select the prognostic factors of overall survival (OS). The radiomics nomogram for OS were established based on the radiomics signature and clinicopathological factors. The Concordance index (C-index), calibration plot and decision curve analysis (DCA) were used to evaluate the performance of the radiomics nomogram.Result 7 texture parameters associated with OS were selected in the training, and the radiomics signature was formulated based on the texture parameters. The patients were divided into high-risk group and low-risk group by the cut-off values of the Rad-score of OS. The 1-, 3- and 5-year OS rate was 71.0%, 45.5% and 35.5% in the high-risk group, respectively, and 91.7%, 82.1% and 78.7%, in the low-risk group, respectively, with significant difference (P <0.001). COX regression model found that Rad-score was an independent prognostic factor of OS. In addition, the radiomics nomogram was developed based on five variables: α‐fetoprotein (AFP), platelet lymphocyte ratio (PLR), largest tumor size, microvascular invasion (MVI) and Rad-score. The nomograms displayed good accuracy in predicting OS (C-index=0.747) in the training cohort and was confirmed in the validation cohort (C-index=0.777). The calibration plots also showed an excellent agreement between the actual and predicted survival probabilities. The DAC indicated that the radiomics nomogram showed better clinical usefulness than the clinicopathologic nomogram.Conclusion The radiomics signature is potential biomarkers of the prognosis of HCC after hepatectomy. Radiomics nomogram that integrated radiomics signature can provide more accurate estimate of OS for patients with HCC after hepatectomy.

show abstract

“…But individualized predicting or stratifying patients of HCC associated with PVTT on conservative treatment remain unsatisfactory. e prognostic nomograms can be more accurate and allow personalized assessment of overall survival for patients with HCC [17].…”

Section: Introductionmentioning

confidence: 99%

Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment

Liu

Xue

Zhang

et al. 2020

BioMed Research International

Self Cite

View full text Add to dashboard Cite

Background. Portal vein tumor thrombosis (PVTT) is one of the major predictive factors for patients with hepatocellular carcinoma (HCC). The objective of this study was to establish a prognostic nomogram for identifying individual survival outcomes in patients with HCC and PVTT on conservative treatment based on specific factors. Methods. Two hundred and ten patients with HCC and PVTT on conservative treatment in Beijing Ditan Hospital between June 2008 and May 2017 were studied retrospectively as a derivation cohort. We built a nomogram based on independent risk factors for survival prediction. The concordance index (c-index) and a calibration curve were used to evaluate the predictive accuracy. During the study, 102 patients were included at the Putuo Hospital and Third People’s Hospital of Changzhou as a validation cohort. Results. In the derivation cohort, the independent factors for overall survival were identified by multivariate analysis, namely, aspartate aminotransferase ≥119 IU/L, gamma-glutamyl transferase ≥115 IU/L, Child–Pugh class C liver function, creatinine ≥91 μmoI/L, α-fetoprotein ≥400 ng/ml, and largest tumor diameter ≥5 cm. The nomogram had a c-index of 0.737 (95% confidence interval, 0.692–0.782) and the calibration curves fitted well. The median survival time was 4.2 months in the derivation cohort, with an MST of 5 months for BCLC C stage and 1.8 months for BCLC D stage patients. Kaplan–Meier analysis showed significant statistical differences in the 6-month overall survival rates of the primary and validation cohorts after the total scores were divided into three quartiles (low risk: 0–85; intermediate risk: 86–210; high risk: ≥211; p<0.0001 in both cohorts). Conclusions. The nomogram can be a more accurate and individualized prediction for 6-month overall survival of patients with HCC and PVTT on conservative treatment, and it is possible to consider further active interventions for patients in the low-risk group (0–85 scores) to achieve the aim of prolonging survival.

show abstract

Nomogram prediction of individual prognosis of patients with hepatocellular carcinoma

Cited by 55 publications

References 43 publications

Prognostic value of aspartate aminotransferase to platelet ratio index as a noninvasive biomarker in patients with hepatocellular carcinoma: a meta-analysis

Prognostic value of aspartate aminotransferase to platelet ratio index as a noninvasive biomarker in patients with hepatocellular carcinoma: a meta-analysis

A radiomics nomogram for prediction of overall survival in hepatocellular carcinoma after hepatectomy

Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment

Contact Info

Product

Resources

About