Article
Radiology, Nuclear Medicine & Medical Imaging
Xinxin Wang, Yunfeng Sun, Xueyan Zhou, Zhiwei Shen, Hongxia Zhang, Jiqing Xing, Yang Zhou
Summary: The study showed that histogram features and radiological parameters have the potential to predict microvascular invasion (MVI) of hepatocellular carcinoma (HCC) preoperatively, especially in solitary HCCs, indicating promising predictive performance. The peritumoral arterial phase (AP) enhanced degree on MRI and coronal enhancement thickness (CET) could serve as notable predictive markers for MVI.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Article
Oncology
Danjun Song, Yueyue Wang, Wentao Wang, Yining Wang, Jiabin Cai, Kai Zhu, Minzhi Lv, Qiang Gao, Jian Zhou, Jia Fan, Shengxiang Rao, Manning Wang, Xiaoying Wang
Summary: The study found that a DL model based on images can predict the presence of MVI, with the DL model combined with clinical parameters showing the best predictive performance. For MVI-grade stratification, the DL models achieved an overall accuracy of 0.793, and the DL-predicted MVI status was associated with patients' overall survival and recurrence-free survival.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Filiz Celebi, Aysegul Gormez, Ahmet Serkan Ilgun, Yaman Tokat, Numan Cem Balci
Summary: The study found that SUVmax was an independent risk factor for predicting HCC MVI, and 18F-FDG PET/MRI is a useful noninvasive imaging tool.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Hematology
Peihua Wang, Fang Nie, Tiantian Dong, Guojuan Wang, Lan Wang, Xiao Fan
Summary: 2D-US and CEUS are feasible methods for predicting microvascular invasion in hepatocellular carcinoma (HCC) and can provide a theoretical basis for individualized clinical treatment.
CLINICAL HEMORHEOLOGY AND MICROCIRCULATION
(2022)
Article
Acoustics
Cuiwei Wang, Teng Zhang, Shuwen Sun, Xinhua Ye, Yali Wang, Minhong Pan, Haibin Shi
Summary: This study established CEUS and CEMR models for predicting microvascular invasion in hepatocellular carcinoma (HCC) and compared their predictive efficiency. The results showed that both models had similar predictive efficiencies, and CEUS was also an effective method for predicting microvascular invasion before surgery.
JOURNAL OF ULTRASOUND IN MEDICINE
(2023)
Article
Oncology
Hai-Feng Liu, Yan-Zhen-Zi Zhang, Qing Wang, Zu-Hui Zhu, Wei Xing
Summary: This study established and validated a nomogram model incorporating LI-RADS features and CEMRI-based radiomics to predict MVI in HCC. The nomogram model showed good predictive ability and can serve as a valuable imaging biomarker for individualized decision-making.
TRANSLATIONAL ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jianping Liu, Dongliang Cheng, Yuting Liao, Chun Luo, Qiucheng Lei, Xin Zhang, Luyi Wang, Zhibo Wen, Mingyong Gao
Summary: This study investigated whether a simple prediction model using noncontrast-enhanced T2-weighted magnetic resonance imaging (MRI) could preoperatively predict microvascular invasion (MVI) in hepatocellular carcinoma (HCC). The results showed that the model using radiomic features from single T2WI can predict MVI in HCC, and has the potential to be a simple and fast method to provide objective information for decision-making during clinical treatment.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jianping Liu, Dongliang Cheng, Yuting Liao, Chun Luo, Qiucheng Lei, Xin Zhang, Luyi Wang, Zhibo Wen, Mingyong Gao
Summary: This study developed a simple prediction model using noncontrast-enhanced T2-weighted magnetic resonance imaging to predict microvascular invasion in hepatocellular carcinoma. The model showed good performance in predicting MVI and has the potential to serve as a simple and fast method for clinical decision making, providing objective information.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Gastroenterology & Hepatology
Hanyu Jiang, Jingwei Wei, Fangfang Fu, Hong Wei, Yun Qin, Ting Duan, Weixia Chen, Kunlin Xie, Jeong Min Lee, Mustafa R. Bashir, Meiyun Wang, Bin Song, Jie Tian
Summary: This study aimed to develop and validate a scoring system for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC). The results showed that the preoperative MVI score, which integrated five EOB-MRI features and serum alpha-fetoprotein level, accurately predicted MVI and postoperative survival in HCC. This score could be useful in making individualized treatment decisions.
LIVER INTERNATIONAL
(2022)
Article
Acoustics
Xintong Li, Xue Han, Lei Li, Chang Su, Jianmin Sun, Chao Zhan, Di Feng, Wen Cheng
Summary: The aim of this study was to investigate the imaging features observed in pre-operative Sonazoid contrast-enhanced ultrasound (SZ-CEUS) and their correlations with the presence of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) patients. The results showed that the non-single nodular (non-SN) type in the post-vascular phase (PVP) was a significant independent risk factor for MVI in HCC. Therefore, SZ-CEUS can provide useful information for the diagnosis of MVI in HCC.
ULTRASOUND IN MEDICINE AND BIOLOGY
(2022)
Article
Oncology
Yafang Zhang, Qingyue Wei, Yini Huang, Zhao Yao, Cuiju Yan, Xuebin Zou, Jing Han, Qing Li, Rushuang Mao, Ying Liao, Lan Cao, Min Lin, Xiaoshuang Zhou, Xiaofeng Tang, Yixin Hu, Lingling Li, Yuanyuan Wang, Jinhua Yu, Jianhua Zhou
Summary: This study developed a deep convolutional neural network model based on contrast-enhanced ultrasound to predict microvascular invasion in hepatocellular carcinoma patients and thus predict prognosis. The CECL-DCNN model showed higher specificity and accuracy in predicting MVI compared to clinical models.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Di Zhang, Qi Wei, Ge-Ge Wu, Xian-Ya Zhang, Wen-Wu Lu, Wen-Zhi Lv, Jin-Tang Liao, Xin-Wu Cui, Xue-Jun Ni, Christoph F. Dietrich
Summary: This study developed a radiomics nomogram based on CEUS for preoperatively assessing MVI in HCC patients, showing superior predictive value compared to a clinical model. The model incorporating radiomics scores and clinical factors demonstrated good discrimination and calibration, suggesting the potential clinical usefulness of PVP and DP radiomics signatures as biomarkers for MVI prediction in HCC.
FRONTIERS IN ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Wei-lin Yang, Fei Zhu, Wei-xia Chen
Summary: This study aimed to investigate the feasibility of predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC) by analyzing the texture features of hepatic MR-enhanced images. The results showed that MR image features and texture analysis had a certain predictive effect on MVI, which were mutually verified and complementary. The texture parameters of the gray level co-occurrence matrix (GLCM) could reflect tumor heterogeneity and had the potential to assist with preoperative decision-making. The combination of MR image features and texture analysis may improve the efficiency in the prediction of MVI.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Houjiao Dai, Minhua Lu, Bingsheng Huang, Mimi Tang, Tiantian Pang, Bing Liao, Huasong Cai, Mengqi Huang, Yongjin Zhou, Xin Chen, Huijun Ding, Shi-Ting Feng
Summary: Imaging sequences, feature extraction and selection methods, and classifiers have a considerable impact on the predictive performance of radiomics models for hepatocellular carcinoma microvascular invasion.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiachuan Qin, Jianhui Zhu, Zhengzheng Tu, Qianqing Ma, Jin Tang, Chaoxue Zhang
Summary: In this study, a deep learning model based on contrast-enhanced ultrasound (CEUS) was developed to accurately predict the microvascular invasion (MVI) status of hepatocellular carcinoma (HCC). The model showed good performance in the test group and can assist in identifying high-risk patients for adjuvant treatment.
ACADEMIC RADIOLOGY
(2023)
Article
Gastroenterology & Hepatology
Po-Hong Liu, Benjamin Lebwohl, Kristin E. Burke, Kerry L. Ivey, Ashwin N. Ananthakrishnan, Paul Lochhead, Ola Olen, Jonas F. Ludvigsson, James M. Richter, Andrew T. Chan, Hamed Khalili
AMERICAN JOURNAL OF GASTROENTEROLOGY
(2019)
Article
Gastroenterology & Hepatology
Po-Hong Liu, Kristin E. Burke, Ashwin N. Ananthakrishnan, Paul Lochhead, Ola Olen, Jonas F. Ludvigsson, James M. Richter, Andrew T. Chan, Hamed Khalili
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2019)
Article
Oncology
Shu-Yein Ho, Chia-Yang Hsu, Po-Hong Liu, Cheng-Yuan Hsia, Chien-Wei Su, Yi-Hsiang Huang, Ming-Chih Hou, Teh-Ia Huo
Letter
Gastroenterology & Hepatology
Teh-Ia Huo, Po-Hong Liu, Chia-Yang Hsu
Article
Gastroenterology & Hepatology
Shu-Yein Ho, Chia-Yang Hsu, Po-Hong Liu, Cheng-Yuan Hsia, Hao-Jan Lei, Yi-Hsiang Huang, Chih-Chieh Ko, Chien-Wei Su, Rheun-Chuan Lee, Ming-Chih Hou, Teh-Ia Huo
LIVER INTERNATIONAL
(2020)
Article
Gastroenterology & Hepatology
Wenjie Ma, Manol Jovani, Long H. Nguyen, Fred K. Tabung, Mingyang Song, Po-Hong Liu, Yin Cao, Idy Tam, Kana Wu, Edward L. Giovannucci, Lisa L. Strate, Andrew T. Chan
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2020)
Article
Gastroenterology & Hepatology
Shu-Yein Ho, Po-Hong Liu, Chia-Yang Hsu, Cheng-Yuan Hsia, Yi-Hsiang Huang, Chien-Wei Su, Hao-Jan Lei, Rheun-Chuan Lee, Ming-Chih Hou, Teh-Ia Huo
DIGESTIVE DISEASES AND SCIENCES
(2020)
Article
Oncology
Stephen Lam Chan, Lin-Lee Wong, Kwan-Chee Allen Chan, Chit Chow, Joanna Hung-Man Tong, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Charing Ching-Ning Chong, Po-Hong Liu, Cheuk-Man Chu, Vincent Wai-Sun Wong, Ka-Fai To, Helen L. Reeves, Anthony Wing-Hung Chan
Article
Gastroenterology & Hepatology
Po-Hong Liu, Chia-Yang Hsu, Chien-Wei Su, Yi-Hsiang Huang, Ming-Chih Hou, Nicole E. Rich, Naoto Fujiwara, Yujin Hoshida, Amit G. Singal, Teh-Ia Huo
LIVER INTERNATIONAL
(2020)
Letter
Gastroenterology & Hepatology
Teh-Ia Huo, Po-Hong Liu, Chia-Yang Hsu
Article
Oncology
Po-Hong Liu, Nina N. Sanford, Peter S. Liang, Amit G. Singal, Caitlin C. Murphy
Summary: The prevalence of colorectal cancer screening has increased among adults aged 50 to 75 years, but remains low among those aged 50 to 54 years. The patterns of screening prevalence varied by age group, race/ethnicity, educational attainment, family income, and health insurance.
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION
(2022)
Editorial Material
Gastroenterology & Hepatology
Po-Hong Liu, Amit G. Singal, Caitlin C. Murphy
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2023)
Editorial Material
Gastroenterology & Hepatology
Po-hong Liu, Amit G. Singal, Caitlin C. Murphy
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2023)
Article
Gastroenterology & Hepatology
Patrick Marquardt, Po-Hong Liu, Joshua Immergluck, Jocelyn Olivares, Ana Arroyo, Nicole E. Rich, Neehar D. Parikh, Adam C. Yopp, Amit G. Singal
Summary: The main reasons for underuse of HCC screening in patients with cirrhosis are lack of regular outpatient care and lack of screening orders in those with known cirrhosis, highlighting the need for interventions at these steps to increase HCC screening utilization.
HEPATOLOGY COMMUNICATIONS
(2021)
Correction
Oncology
P. H. Liu, K. Wu, K. Ng
