Liu Liu

Dr. Liu Liu

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 December 2020 in Lung Cancer
Verified
Journal Article
Closed access
LWLihua Wang
Lihua Wang
MRMaomei Ruan
Maomei Ruan
BLBei Lei
Bei Lei
HYHui Yan
Hui Yan
XSXiaoyan Sun
Xiaoyan Sun
WXWenhui Xie
Wenhui Xie

5 June 2024 in Abdominal Radiology
Verified
Journal Article
Closed access
PDF file
HTHuali Tang
Huali Tang
LXLianghua Xie
Lianghua Xie
LLLiu Liu
Liu Liu
YSYan Shen
Yan Shen
PYPing Yang
Ping Yang
YMYun Mao
Yun Mao

10 November 2022 in Oncogene
Verified
Journal Article
Closed access
PDF file
HYHao Yang
Hao Yang
XZXiaoping Zhao
Xiaoping Zhao
JLJianjun Liu
Jianjun Liu
MJMingming Jin
Mingming Jin
XLXiyu Liu
Xiyu Liu
GHGang Huang
Gang Huang

12 August 2024 in European Journal of Radiology
Verified
Journal Article
Open access
ZLZiyu Liu
Ziyu Liu
YMYun Mao
Yun Mao
LLLiu Liu
Liu Liu
JLJunjie Li
Junjie Li
QLQingshu Li
Qingshu Li
YZYin Zhou
Yin Zhou
Purpose: To explore the capability of preoperative CT imaging features, in combination with clinical indicators, for predicting vessels that encapsulate tumor clusters (VETC) pattern and prognosis in hepatocellular carcinoma (HCC). Materials and methods: From January 2015 to May 2022, patients with HCC who underwent curative resection and preoperative enhanced CT were retrospectively included. Clinical indicators and imaging featuresassociated with the VETC pattern were determined by logistic regression analyses. The early recurrence (ER) rate was determined using the Kaplan-Meier survival curve. Factors associated with ER after surgical resection were identified by Cox regression analyses. Result: A total of 243 patients with HCCwere evaluated. The total bilirubin > 17.1 mu mol/L (odds ratio [OR] 3.43, 95 % Confidence Interval [CI] 1.70, 6.91, p = 0.001), serum alpha-fetoprotein > 100 ng/mL (OR 2.41, 95 % CI 1.25, 4.67, p = 0.009), intratumor artery (IA) (OR 2.00, 95 % CI 1.04, 3.86,p = 0.039) and arterial peritumoral enhancement (OR 2.60, 95 % CI 1.13, 5.96, p = 0.025) were independent risk factors for VETC+-HCC. The VETC(+)status andCT feature ofIA were associated with an increased risk of recurrence, with a shorter median RFS, compared to those without these factors (p < 0.001 and p = 0.019, respectively). In multivariable Cox regression analysis, the VETC+(hazard ratio [HR] 2.60, 95 % CI 1.66, 4.09, p < 0.001), morphological patterns of confluent multinodular growth (HR 1.79, 95 % CI 1.10, 2.91,p = 0.019), the number of the tumors (>= 2) (HR 2.69, 95 % CI 1.56, 4.65, p < 0.001), and the IA (HR 1.73, 95 % CI 1.12, 2.66, p = 0.013) were independent predictors of ER in patients with HCC after surgical resection. Conclusion: Preoperative CT features combined with clinical indicators could predict VETC pattern, and the CT features, along with VETC status, were of prognostic significance for early postoperative recurrence in patients with HCC.

1 February 2024 in Quantitative Imaging in Medicine and Surgery
Verified
Journal Article
Open access
PDF file
HYHui Yan
Hui Yan
LWLihua Wang
Lihua Wang
BLBei Lei
Bei Lei
MRMaomei Ruan
Maomei Ruan
CCCheng Chang
Cheng Chang
YWYuetao Wang
Yuetao Wang
Background: Anterior mediastinal masses are relatively uncommon, and mediastinal lymphomas are the malignancies most likely to be confused with thymic epithelial tumors (TETs). The aim of this study was to investigate whether the combination of 18fluorine-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG PET-CT) findings and clinical parameters is useful in differentiating lymphoma from TETs in anterior mediastinal masses. Methods: This retrospective study consecutively included 304 patients with anterior mediastinal masses (244 TETs and 60 lymphomas) who underwent 18F-FDG PET-CT 1 to 2 weeks before tumor resection or biopsy between August 2016 and March 2022. The correlations between the maximum standardized uptake value (SUVmax) of tumors and clinical parameters of patients with histology subtypes were analyzed. Receiver operating characteristic curve analysis was used to obtain the optimal cutoff values of age, lactate dehydrogenase (LDH), tumor size, and SUVmax to predict lymphoma. Logistic regression analysis was used to identify potential predictive factors for lymphoma. Results: Lymphoma was significantly associated with younger patient age, higher LDH level, larger tumor size, and higher SUVmax compared to TETs (P<0.001). In the modeling cohort, age ≤40.5 years, LDH level ≥197 U/L, tumor size ≥10.72 cm, and SUVmax ≥11.95 were identified as independent predictors for lymphoma with odds ratios of 20.14 [95% confidence interval (CI): 6.02–67.40; P<0.001], 4.89 (95% CI: 1.27–18.89; P=0.021), 8.82 (95% CI: 2.31–33.69; P=0.001), and 30.01 (95% CI: 6.59–136.72; P<0.001), respectively. The accuracy of age, LDH, tumor size, and SUVmax in predicting lymphoma was 84.8%, 67.8%, 85.2%, and 78.3% respectively. The combination of the four above parameters could improve the predictive accuracy to 89.1%, and in the validation cohort, this combination increased the predictive accuracy to 87.8%. Conclusions: SUVmax on 18F-FDG PET-CT has the potential ability to discriminate lymphomas from TETs in the diagnosis of anterior mediastinal masses, and the combination of SUVmax with clinical parameters can improve the diagnostic accuracy. This combination may therefore may be helpful in avoiding unnecessary operation in patients with anterior mediastinal lymphomas.

8 November 2024 in Clinical Lung Cancer
Verified
Journal Article
Closed access
BLBei Lei
Bei Lei
HZHe Zhang
He Zhang
JSJianwen Sun
Jianwen Sun
LWLihua Wang
Lihua Wang
MRMaomei Ruan
Maomei Ruan
WXWenhui Xie
Wenhui Xie