scholarly journals A Nomogram Predicting Microvascular Invasion Risk in BCLC 0/A Hepatocellular Carcinoma after Curative Resection

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Shuai-Xiang Gao ◽  
Rui Liao ◽  
Hua-Qiang Wang ◽  
Dan Liu ◽  
Fang Luo
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Tumor Size ◽  
Training Group ◽  
Microvascular Invasion ◽  
Arterial Phase ◽  
Ct Value ◽  
Delayed Phase ◽  
Curative Hepatectomy ◽  
Peritumoral Enhancement

Background. Numerous studies have shown that hepatocellular carcinoma (HCC) without microvascular invasion (MVI) may have better outcomes. This study established a preoperative MVI risk nomogram mainly incorporating three related risk factors of MVI in BCLC 0/A HCC after surgery. Methods. Independent predictors for the risk of MVI were investigated, and an MVI risk nomogram was established based on 60 patients in the training group who underwent curative hepatectomy for BCLC 0/A HCC and validated using a dataset in the validation group. Results. Univariate analysis in the training group showed that hepatitis viral B (HBV) DNA (P=0.034), tumor size (P<0.001), CT value in the venous phase (P=0.039), CT value in the delayed phase (P=0.017), peritumoral enhancement (P=0.013), visible small blood vessels in the arterial phase (P=0.002), and distance from the tumor to the inferior vena cava (IVC) (DTI, P=0.004) were risk factors significantly associated with the presence of MVI. According to multivariate analysis, the independent predictive factors of MVI, including tumor size (P=0.002), CT value in the delayed phase (P=0.018), and peritumoral enhancement (P=0.057), were incorporated in the corresponding nomogram. The nomogram displayed an unadjusted C-index of 0.851 and a bootstrap-corrected C-index of 0.832. Calibration curves also showed good agreement on the presence of MVI. ROC curve analyses showed that the nomogram had a large AUC (0.851). Conclusions. The proposed nomogram consisting of tumor size, CT value in the delayed phase, and peritumoral enhancement was associated with MVI risk in BCLC 0/A HCC following curative hepatectomy.

scholarly journals MRI Features for Predicting Microvascular Invasion of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

Liver Cancer ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 94-106
Author(s):  
Seung Baek Hong ◽  
Sang Hyun Choi ◽  
So Yeon Kim ◽  
Ju Hyun Shim ◽  
Seung Soo Lee ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Size ◽  
Meta Analysis ◽  
Diagnostic Odds Ratio ◽  
Microvascular Invasion ◽  
Hepatobiliary Phase ◽  
Phase Imaging ◽  
Arterial Enhancement ◽  
Mri Features ◽  
Peritumoral Enhancement

<b><i>Purpose:</i></b> Microvascular invasion (MVI) is an important prognostic factor in patients with hepatocellular carcinoma (HCC). However, the reported results of magnetic resonance imaging (MRI) features for predicting MVI of HCC are variable and conflicting. Therefore, this meta-analysis aimed to identify the significant MRI features for MVI of HCC and to determine their diagnostic value. <b><i>Methods:</i></b> Original studies reporting the diagnostic performance of MRI for predicting MVI of HCC were identified in MEDLINE and EMBASE up until January 15, 2020. Study quality was assessed using QUADAS-2. A bivariate random-effects model was used to calculate the meta-analytic pooled diagnostic odds ratio (DOR) and 95% confidence interval (CI) for each MRI feature for diagnosing MVI in HCC. The meta-analytic pooled sensitivity and specificity were calculated for the significant MRI features. <b><i>Results:</i></b> Among 235 screened articles, we found 36 studies including 4,274 HCCs. Of the 15 available MRI features, 7 were significantly associated with MVI: larger tumor size (&#x3e;5 cm) (DOR = 5.2, 95% CI [3.0–9.0]), rim arterial enhancement (4.2, 95% CI [1.7–10.6]), arterial peritumoral enhancement (4.4, 95% CI [2.8–6.9]), peritumoral hypointensity on hepatobiliary phase imaging (HBP) (8.2, 95% CI [4.4–15.2]), nonsmooth tumor margin (3.2, 95% CI [2.2–4.4]), multifocality (7.1, 95% CI [2.6–19.5]), and hypointensity on T1-weighted imaging (T1WI) (4.9, 95% CI [2.5–9.6]). Both peritumoral hypointensity on HBP and multifocality showed very high meta-analytic pooled specificities for diagnosing MVI (91.1% [85.4–94.8%] and 93.3% [74.5–98.5%], respectively). <b><i>Conclusions:</i></b> Seven MRI features including larger tumor size, rim arterial enhancement, arterial peritumoral enhancement, peritumoral hypointensity on HBP, nonsmooth margin, multifocality, and hypointensity on T1WI were significant predictors for MVI of HCC. These MRI features predictive of MVI can be useful in the management of HCC.

scholarly journals Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Preoperative Gd-EOB-DTPA-Dynamic Enhanced MRI and Histopathological Correlation

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Mengqi Huang ◽  
Bing Liao ◽  
Ping Xu ◽  
Huasong Cai ◽  
Kun Huang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prediction Model ◽  
Tumor Size ◽  
Univariate Analysis ◽  
Microvascular Invasion ◽  
Arterial Phase ◽  
Hepatobiliary Phase ◽  
Imaging Features ◽  
Tumor Margin ◽  
Enhanced Mri

Objective. To investigate the imaging features observed in preoperative Gd-EOB-DTPA-dynamic enhanced MRI and correlated with the presence of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) patients. Methods. 66 HCCs in 60 patients with preoperative Gd-EOB-DTPA-dynamic enhanced MRI were retrospectively analyzed. Features including tumor size, signal homogeneity, tumor capsule, tumor margin, peritumor enhancement during mid-arterial phase, peritumor hypointensity during hepatobiliary phase, signal intensity ratio on DWI and apparent diffusion coefficients (ADC), T1 relaxation times, and the reduction rate between pre- and postcontrast enhancement images were assessed. Correlation between these features and histopathological presence of MVI was analyzed to establish a prediction model. Results. Histopathology confirmed that MVI were observed in 17 of 66 HCCs. Univariate analysis showed tumor size (p=0.003), margin (p=0.013), peritumor enhancement (p=0.001), and hypointensity during hepatobiliary phase (p=0.004) were associated with MVI. A multiple logistic regression model was established, which showed tumor size, margin, and peritumor enhancement were combined predictors for the presence of MVI (α=0.1). R2 of this prediction model was 0.353, and the sensitivity and specificity were 52.9% and 93.0%, respectively. Conclusion. Large tumor size, irregular tumor margin, and peritumor enhancement in preoperative Gd-EOB-DTPA-dynamic enhanced MRI can predict the presence of MVI in HCC.

scholarly journals A Non-Invasive Nomogram for Preoperative Prediction of Microvascular Invasion Risk in Hepatocellular Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Huanhuan Wang ◽  
Ye Lu ◽  
Runkun Liu ◽  
Liang Wang ◽  
Qingguang Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Lymphocyte Count ◽  
Microvascular Invasion ◽  
Enzyme Linked Immunosorbent Assay ◽  
Serum Concentrations ◽  
Training Cohort ◽  
Non Invasive ◽  
Peritumoral Enhancement ◽  
Tumor Shape

BackgroundMicrovascular invasion (MVI) is a significant predictive factor for early recurrence, metastasis, and poor prognosis of hepatocellular carcinoma. The aim of the present study is to identify preoperative factors for predicting MVI, in addition to develop and validate non-invasive nomogram for predicting MVI.MethodsA total of 381 patients with resected HCC were enrolled and divided into a training cohort (n = 267) and a validation cohort (n = 114). Serum VEGF-A level was examined by enzyme-linked immunosorbent assay (ELISA). Risk factors for MVI were assessed based on univariate and multivariate analyses in the training cohort. A nomogram incorporating independent risk predictors was established and validated.ResultThe serum VEGF-A levels in the MVI positive group (n = 198) and MVI negative group (n = 183) were 215.25 ± 105.68 pg/ml and 86.52 ± 62.45 pg/ml, respectively (P &lt;0.05). Serum VEGF-A concentration ≥138.30 pg/ml was an independent risk factor of MVI (OR: 33.088; 95%CI: 12.871–85.057; P &lt;0.001). Higher serum concentrations of AFP and VEGF-A, lower lymphocyte count, peritumoral enhancement, irregular tumor shape, and intratumoral artery were identified as significant predictors for MVI. The nomogram indicated excellent predictive performance with an AUROC of 0.948 (95% CI: 0.923–0.973) and 0.881 (95% CI: 0.820–0.942) in the training and validation cohorts, respectively. The nomogram showed a good model fit and calibration.ConclusionsHigher serum concentrations of AFP and VEGF-A, lower lymphocyte count, peritumoral enhancement, irregular tumor shape, and intratumoral artery are promising markers for MVI prediction in HCC. A reliable non-invasive nomogram which incorporated blood biomarkers and imaging risk factors was established and validated. The nomogram achieved desirable effectiveness in preoperatively predicting MVI in HCC patients.

scholarly journals Tumor size may influence the prognosis of solitary hepatocellular carcinoma patients with cirrhosis and without macrovascular invasion after hepatectomy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bin-yong Liang ◽  
Jin Gu ◽  
Min Xiong ◽  
Er-lei Zhang ◽  
Zun-yi Zhang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Size ◽  
Staging System ◽  
Prognostic Impact ◽  
Term Survival ◽  
Long Term Survival ◽  
Before And After ◽  
Cirrhotic Patients ◽  
Curative Hepatectomy

AbstractHepatocellular carcinoma (HCC) is usually associated with varying degrees of cirrhosis. Among cirrhotic patients with solitary HCC in the absence of macro-vascular invasion, whether tumor size drives prognosis or not after hepatectomy remains unknown. This study aimed to investigate the prognostic impact of tumor size on long-term outcomes after hepatectomy for solitary HCC patients with cirrhosis and without macrovascular invasion. A total of 813 cirrhotic patients who underwent curative hepatectomy for solitary HCC and without macrovascular invasion between 2001 and 2014 were retrospectively studied. We set 5 cm as the tumor cut-off value. Propensity score matching (PSM) was performed to minimize the influence of potential confounders including cirrhotic severity that was histologically assessed according to the Laennec staging system. Recurrence-free survival (RFS) and overall survival (OS) were compared between the two groups before and after PSM. Overall, 464 patients had tumor size ≤ 5 cm, and 349 had tumor size > 5 cm. The 5-year RFS and OS rates were 38.3% and 61.5% in the  ≤ 5 cm group, compared with 25.1% and 59.9% in the > 5 cm group. Long-term survival outcomes were significantly worse as tumor size increased. Multivariate analysis indicated that tumor size > 5 cm was an independent risk factor for tumor recurrence and long-term survival. These results were further confirmed in the PSM cohort of 235 pairs of patients. In cirrhotic patients with solitary HCC and without macrovascular invasion, tumor size may significantly affect the prognosis after curative hepatectomy.

scholarly journals Inflammatory indexes in preoperative blood routine to predict early recurrence of hepatocellular carcinoma after curative hepatectomy

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
YiFeng Wu ◽  
ChaoYong Tu ◽  
ChuXiao Shao
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Tumour Size ◽  
Area Under The Curve ◽  
Early Recurrence ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Lymphocyte Ratio ◽  
Inflammatory Index ◽  
Curative Hepatectomy

Abstract Background The inflammation indexes in blood routine play an essential role in evaluating the prognosis of patients with hepatocellular carcinoma, but the effect on early recurrence has not been clarified. The study aimed to investigate the risk factors of early recurrence (within 2 years) and recurrence-free survival after curative hepatectomy and explore the role of inflammatory indexes in predicting early recurrence. Methods The baseline data of 161 patients with hepatocellular carcinoma were analyzed retrospectively. The optimal cut-off value of the inflammatory index was determined according to the Youden index. Its predictive performance was compared by the area under the receiver operating characteristic curve. Logistic and Cox regression analyses were used to determine the risk factors of early recurrence and recurrence-free survival. Results The area under the curve of monocyte to lymphocyte ratio (MLR) for predicting early recurrence was 0.700, which was better than systemic inflammatory response index (SIRI), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and systemic immune-inflammatory index (SII). MLR, tumour size, tumour differentiation and BCLC stage are all risk factors for early recurrence and recurrence-free survival of HCC. Combining the above four risk factors to construct a joint index, the area under the curve for predicting early recurrence was 0.829, which was better than single MLR, tumour size, tumour differentiation and BCLC stage. Furthermore, with the increase of risk factors, the recurrence-free survival of patients is worse. Conclusion The combination of MLR and clinical risk factors is helpful for clinicians to identify high-risk patients with early recurrence and carry out active postoperative adjuvant therapy to improve the prognosis of patients.

Postsurgical multiple-sites sampling procedure for the precise detection of microvascular invasion of hepatocellular carcinoma.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15657-e15657
Author(s):  
Qian Zhou ◽  
Lili Chen ◽  
Shuling Chen ◽  
Qinghua Cao ◽  
Sui Peng ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Size ◽  
Validation Cohort ◽  
Normal Liver ◽  
Liver Parenchyma ◽  
Sampling Procedure ◽  
Microvascular Invasion ◽  
Sampling Location ◽  
Sample Collection ◽  
Positive Rate

e15657 Background: Microvascular invasion (MVI) is an important risk factor of recurrence for hepatocellular carcinoma (HCC). We aimed to explore the relationship of the number of sampling sites (NuSS) and sampling location with positive rate of MVI, and investigate cut-off values for NuSS. Methods: From May 2010 to Feb 2017, 910 HCC patients undergone hepatectomy with well-preserved tissue blocks were retrospectively enrolled. Associations between NuSS and positive rates of MVI were investigated. The thresholds of NuSS according to different factors were determined by Chow test and Breakpoints function, and validated prospectively in 118 patients. In validation cohort, MVI positive rates in different sampling locations were estimated. Results: The positive rates of MVI increased as NuSS increased ( P < 0.001). Tumor size and number were two factors influencing NuSS. A minimum of four, six, eight and eight sampling sites were required for detecting MVI in solitary tumors measuring 1.0-3.0 cm, 3.1-4.9 cm and ≥ 5.0 cm and multiple tumors. The positive rates of MVI as per developed thresholds were significantly higher in all the tumor subgroups of validation cohort than those in routine clinical practice in training cohort (46.7% vs. 20.6%, P= 0.048; 44.4% vs. 24.4%, P= 0.025; 73.3% vs. 50.3%, P= 0.004; 67.7% vs. 45.4%, P= 0.026). The positive rates of MVI in tumor interface were higher than those in proximal and distal paracancerous and normal liver parenchyma. Conclusions: The different thresholds of NuSS according to tumor size and number, and sampling distribution according to location provided evidences of standardized sample collection of liver cancer specimen for accurate MVI diagnosis.

scholarly journals Commentary on: Nomograms based on inflammatory biomarkers for predicting tumor grade and microvascular invasion in stage I/II hepatocellular carcinoma

2019 ◽  
Vol 39 (10) ◽  
Author(s):  
Liang Xiao ◽  
Furong Zeng ◽  
Guangtong Deng
Keyword(s):  
Hepatocellular Carcinoma ◽  
Multivariate Analysis ◽  
Tumor Size ◽  
Tumor Grade ◽  
Microvascular Invasion ◽  
Stage I ◽  
Inflammatory Biomarkers ◽  
Independent Dataset ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio

Abstract Some doubts were generated during the reading of nomograms based on inflammatory biomarkers for preoperatively predicting tumor grade and microvascular invasion in stage I/II hepatocellular carcinoma (HCC). We would like to highlight and discuss with authors. First, neutrophil-lymphocyte ratio (NLR) and derived NLR (dNLR) should not be entered into multivariate analysis simultaneously. Second, authors should clarify how the cutoffs of these variables including lymphocyte-monocyte ratio (LMR), dNLR, age and tumor size were set. We insist that the type of variables should be consistent when we carry out the analysis and establish the nomogram. Last, we have to point out that Li et al.’s (Biosci. Rep. (2018), 38) study failed to validate nomograms using an independent dataset.

scholarly journals Importance of Microvascular Invasion Risk and Tumor Size on Recurrence and Survival of Hepatocellular Carcinoma After Anatomical Resection and Non-anatomical Resection

2021 ◽  
Vol 11 ◽  
Author(s):  
Haoyu Hu ◽  
Shuo Qi ◽  
Silue Zeng ◽  
Peng Zhang ◽  
Linyun He ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
High Risk ◽  
Predictive Model ◽  
Tumor Size ◽  
Microvascular Invasion ◽  
Low Risk ◽  
Hepatobiliary Phase ◽  
Imaging Features ◽  
Anatomical Resection ◽  
Anatomic Resection

Purpose: To establish a valid prediction model to prognose the occurrence of microvascular invasion (MVI), and to compare the efficacy of anatomic resection (AR) or non-anatomic resection (NAR) for hepatocellular carcinoma (HCC).Methods: Two hundred twenty-eight patients with HCC who underwent surgical treatment were enrolled. Their hematological indicators, MRI imaging features, and outcome data were acquired.Result: In the multivariable analysis, alpha-fetoprotein &gt;15 ng/mL, neutrophil to lymphocyte ratio &gt;3.8, corona enhancement, and peritumoral hypointensity on hepatobiliary phase were associated with MVI. According on these factors, the AUROC of the predictive model in the primary and validation cohorts was 0.884 (95% CI: 0.829, 0.938) and 0.899 (95% CI: 0.821, 0.967), respectively. Patients with high risk of MVI or those with low risk of MVI but tumor size &gt;5 cm in the AR group were associated with a lower rate of recurrence and death than patients in the NAR group; however, when patients are in the state of low-risk MVI with tumor size &gt;5 cm, there is no difference in the rate of recurrence and death between AR and NAR.Conclusion: Our predictive model for HCC with MVI is convenient and accurate. Patients with high-risk of MVI or low-risk of MVI but tumor size &gt;5 cm executing AR is of great necessity.

scholarly journals Influence of clear cell carcinoma on the post-hepatectomy prognosis of patients with hepatocellular carcinoma

2021 ◽  
Author(s):  
Yongheng Deng ◽  
Shaoliang Zhu ◽  
Wen Yan ◽  
Lunan Qi ◽  
Zushun Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hepatocellular Carcinoma ◽  
Cell Carcinoma ◽  
Tumor Size ◽  
Protective Factor ◽  
Clear Cell ◽  
Clear Cell Carcinoma ◽  
Disease Free Survival ◽  
Ki 67 ◽  
Cox Analysis

Aim: The authors aimed to identify factors that independently influence the survival of patients with primary clear cell carcinoma of the liver (PCCCL). Methods: A total of 470 patients with hepatocellular carcinoma were retrospectively analyzed. Multivariate Cox analysis was used to identify potential factors associated with prognosis of PCCCL. Results: Patients with PCCCL showed significantly higher disease-free survival (DFS) and overall survival (OS) compared with patients with non-clear cell hepatocellular carcinoma. Multivariate analysis revealed that AFP level, tumor size, liver cirrhosis and portal vein tumor thrombosis were risk factors for DFS. Tumor size, capsule formation and Ki-67 were risk factors for OS. Satellite nodules acted as a protective factor for DFS and OS. Conclusion: PCCCL is associated with better prognosis in hepatocellular carcinoma. Tumor size and satellite nodules may be independent predictors of OS and DFS.

scholarly journals Size measurements of hepatocellular carcinoma: comparisons between contrast and two-dimensional ultrasound

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Fei Chen ◽  
Fei Wang ◽  
Si Sun ◽  
Mei Zhu ◽  
Zheng Liu
Keyword(s):  
Hepatocellular Carcinoma ◽  
Tumor Size ◽  
Late Phase ◽  
Size Difference ◽  
Arterial Phase ◽  
Two Dimensional ◽  
Contrast Enhanced ◽  
2D Imaging ◽  
The Mean ◽  
Longitudinal Diameter

Abstract Background Ultrasound (US) imaging is known to underestimate tumor size in clinical. This study is aimed to compare the size measurements of hepatocellular carcinoma (HCC) in three US imaging modalities, i.e. two-dimensional (2D) imaging, the arterial phase (AP) and the late phase (LP) imaging of contrast-enhanced US (CEUS). Methods Fifty-eight clinically proved HCC patients were included. The 2D and CEUS imaging were performed with Siemens S2000, Philips iu22 and BioSound Twice. 2.5 mL of SonoVue® was injected for every CEUS performance. Two physicians measured the maximal longitudinal and the transverse diameters of the tumors in 2D, the AP and the LP of CEUS from one image section. The three measurements were compared by paired t test. Results The mean longitudinal diameter of HCC appeared to be maximal in the AP (4.73 ± 2.04 cm) of CEUS and minimal in the LP (3.98 ± 1.99 cm) of CEUS. The 2D diameter (4.26 ± 2.07 cm) was in the middle between two CEUS measurements. There were significant differences between any two measurements. Conclusion There is size difference between the three kinds of HCC measurement. It appeared to be maximal in the AP of CEUS and minimal in the LP. The 2D diameter was in the middle.

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