Literature DB >> 33417489

Imaging features based on Gd-EOB-DTPA-enhanced MRI for predicting vessels encapsulating tumor clusters (VETC) in patients with hepatocellular carcinoma.

Yanfen Fan1,2, Yixing Yu1,2, Mengjie Hu1,2, Ximing Wang1,2, Mingzhan Du3, Lingchuan Guo3, Chunhong Hu1,2.   

Abstract

OBJECTIVE: To investigate the non-invasive prediction of hepatocellular carcinoma (HCC) with vessels encapsulating tumor clusters (VETC) based on qualitative and quantitative imaging features of gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI.
METHODS: 109 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA enhanced MRI and immunochemical staining for CD34 were retrospectively evaluated in our institution (the first affiliated hospital of Soochow university). Pre-operative imaging features of Gd-EOB-DTPA-enhanced MRI were qualitatively and quantitatively reviewed by radiologists. Significant variables for differentiating the VETC-positive and VETC-negative HCCs were identified in univariate and multivariate analyses. Receiver operating characteristic (ROC) analysis was performed to determine the optimal cut-off values for quantitative variables. The nomogram based on the coefficient of multivariate analysis was constructed to evaluate the probability of VETC-positive HCCs.
RESULTS: The multivariate analysis showed that the serum AST level >40 U  l-1 (p = 0.007), non-rim diffuse and heterogeneous arterial phase hyperenhancement (p = 0.035), tumor-to-liver SI ratio of 1.135 or more on AP images (p = 0.001), and tumor-to-liver SI ratio of 0.585 or less on HBP images (p = 0.002) were significant predictors for predicting VETC-positive HCCs. Combing all four significant variables provided a diagnostic accuracy of 82.6%, sensitivity of 83.9%, specificity of 80.9% for identifying VETC status. The area under the receiver operating characteristics curve value of the logistical regression coefficient-based nomogram was 0.885 (95% confidence intervals, 0.824-0.946).
CONCLUSION: Qualitative and quantitative imaging features of Gd-EOB-DTPA-enhanced MRI integrating laboratory examination can provide good diagnostic performance. ADVANCES IN KNOWLEDGE: VETC is a novel identified microvascular pattern; associations between imaging features and VETC status have not been investigated. Pre-operative diagnosis of VETC status in HCC is essential to help predict the outcome of patients and make a decision for the therapeutic schedule.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 33417489      PMCID: PMC8011268          DOI: 10.1259/bjr.20200950

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  31 in total

1.  Hepatocellular carcinoma: hepatocyte-selective enhancement at gadoxetic acid-enhanced MR imaging--correlation with expression of sinusoidal and canalicular transporters and bile accumulation.

Authors:  Takahiro Tsuboyama; Hiromitsu Onishi; Tonsok Kim; Hirofumi Akita; Masatoshi Hori; Mitsuaki Tatsumi; Atsushi Nakamoto; Hiroaki Nagano; Nariaki Matsuura; Kenichi Wakasa; Kaname Tomoda
Journal:  Radiology       Date:  2010-06       Impact factor: 11.105

2.  Vessels That Encapsulate Tumor Clusters (VETC) Pattern Is a Predictor of Sorafenib Benefit in Patients with Hepatocellular Carcinoma.

Authors:  Jian-Hong Fang; Li Xu; Li-Ru Shang; Chu-Zhi Pan; Jin Ding; Yun-Qiang Tang; Hui Liu; Chu-Xing Liu; Jia-Lin Zheng; Yao-Jun Zhang; Zhong-Guo Zhou; Jing Xu; Limin Zheng; Min-Shan Chen; Shi-Mei Zhuang
Journal:  Hepatology       Date:  2019-03-15       Impact factor: 17.425

3.  Subcellular abnormalities of liver sinusoidal lesions in human hepatocellular carcinoma.

Authors:  T Ichida; K Hata; S Yamada; T Hatano; M Miyagiwa; C Miyabayashi; S Matsui; E Wisse
Journal:  J Submicrosc Cytol Pathol       Date:  1990-04

Review 4.  Liver cirrhosis.

Authors:  Emmanuel A Tsochatzis; Jaime Bosch; Andrew K Burroughs
Journal:  Lancet       Date:  2014-01-28       Impact factor: 79.321

Review 5.  Liver fibrosis, cirrhosis, and cirrhosis-related nodules: Imaging diagnosis and surveillance.

Authors:  C Aubé; P Bazeries; J Lebigot; V Cartier; J Boursier
Journal:  Diagn Interv Imaging       Date:  2017-04-29       Impact factor: 4.026

6.  Assessment of liver function in patients with hepatocellular carcinoma: a new evidence-based approach-the ALBI grade.

Authors:  Philip J Johnson; Sarah Berhane; Chiaki Kagebayashi; Shinji Satomura; Mabel Teng; Helen L Reeves; James O'Beirne; Richard Fox; Anna Skowronska; Daniel Palmer; Winnie Yeo; Frankie Mo; Paul Lai; Mercedes Iñarrairaegui; Stephen L Chan; Bruno Sangro; Rebecca Miksad; Toshifumi Tada; Takashi Kumada; Hidenori Toyoda
Journal:  J Clin Oncol       Date:  2014-12-15       Impact factor: 44.544

7.  Hepatocellular carcinoma: signal intensity at gadoxetic acid-enhanced MR Imaging--correlation with molecular transporters and histopathologic features.

Authors:  Azusa Kitao; Yoh Zen; Osamu Matsui; Toshifumi Gabata; Satoshi Kobayashi; Wataru Koda; Kazuto Kozaka; Norihide Yoneda; Tatsuya Yamashita; Shuichi Kaneko; Yasuni Nakanuma
Journal:  Radiology       Date:  2010-07-27       Impact factor: 11.105

8.  Hepatocellular carcinoma: imaging patterns on gadoxetic acid-enhanced MR Images and their value as an imaging biomarker.

Authors:  Jin Woo Choi; Jeong Min Lee; Soo Jin Kim; Jeong-Hee Yoon; Jee Hyun Baek; Joon Koo Han; Byung Ihn Choi
Journal:  Radiology       Date:  2013-02-11       Impact factor: 11.105

Review 9.  Liver sinusoidal endothelial cells: Physiology and role in liver diseases.

Authors:  Johanne Poisson; Sara Lemoinne; Chantal Boulanger; François Durand; Richard Moreau; Dominique Valla; Pierre-Emmanuel Rautou
Journal:  J Hepatol       Date:  2016-07-14       Impact factor: 25.083

10.  Gd-EOB-DTPA-enhanced magnetic resonance imaging combined with T1 mapping predicts the degree of differentiation in hepatocellular carcinoma.

Authors:  Zhenpeng Peng; Mengjie Jiang; Huasong Cai; Tao Chan; Zhi Dong; Yanji Luo; Zi-Ping Li; Shi-Ting Feng
Journal:  BMC Cancer       Date:  2016-08-12       Impact factor: 4.430

View more
  2 in total

1.  Development and Validation of a Novel Nomogram for Predicting Vessels that Encapsulate Tumor Cluster in Hepatocellular Carcinoma.

Authors:  Renguo Guan; Wenping Lin; Jingwen Zou; Jie Mei; Yuhua Wen; Lianghe Lu; Rongping Guo
Journal:  Cancer Control       Date:  2022 Jan-Dec       Impact factor: 2.339

2.  Texture Analysis Based on Gd-EOB-DTPA-Enhanced MRI for Identifying Vessels Encapsulating Tumor Clusters (VETC)-Positive Hepatocellular Carcinoma.

Authors:  Yanfen Fan; Yixing Yu; Ximing Wang; Mengjie Hu; Mingzhan Du; Lingchuan Guo; Shifang Sun; Chunhong Hu
Journal:  J Hepatocell Carcinoma       Date:  2021-05-05
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.