Jia-Liang Ren
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Explore the profile of Jia-Liang Ren including associated specialties, affiliations and a list of published articles.
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32
Citations
221
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Recent Articles
11.
Yuan T, Gao Z, Wang F, Ren J, Wang T, Zhong H, et al.
Front Oncol
. 2022 Oct;
12:960917.
PMID: 36185187
Aims: To investigate whether the relative signal intensity surrounding the residual cavity on T2-fluid-attenuated inversion recovery (rFLAIR) can improve the survival prediction of lower-grade glioma (LGG) patients. Methods: Clinical and...
12.
Li Y, Liu P, Mao B, Wang L, Ren J, Xu Y, et al.
Br J Radiol
. 2022 Sep;
95(1140):20220368.
PMID: 36169239
Objectives: Accurate preoperative diagnosis of small cell neuroendocrine cancer of the cervix (SCNECC) is crucial for establishing the best treatment plan. This study aimed to develop an improved, non-invasive method...
13.
Li J, Wu L, Xu M, Ren J, Li Z, Liu J, et al.
Biomed Res Int
. 2022 Sep;
2022:3125426.
PMID: 36060133
Objectives: To investigate a deep learning reconstruction algorithm to reduce the time of synthetic MRI (SynMRI) scanning on the breast and improve the image quality. Materials And Methods: A total...
14.
Ma X, Wang Y, Zhuo L, Yin X, Ren J, Li C, et al.
Int J Gen Med
. 2022 Jan;
15:233-241.
PMID: 35023961
Purpose: To investigate the feasibility of enhanced computed tomography (CT) radiomics analysis to differentiate between pancreatic cancer (PC) and chronic pancreatitis. Methods And Materials: The CT images of 151 PCs...
15.
Quan G, Ban R, Ren J, Liu Y, Wang W, Dai S, et al.
Front Neurosci
. 2021 Oct;
15:730879.
PMID: 34602971
At present, it is still challenging to predict the clinical outcome of acute ischemic stroke (AIS). In this retrospective study, we explored whether radiomics features extracted from fluid-attenuated inversion recovery...
16.
Liu C, Heng L, Han Y, Wang S, Yan L, Yu Y, et al.
Front Oncol
. 2021 Jul;
11:640375.
PMID: 34307124
Objective: To explore the usefulness of texture signatures based on multiparametric magnetic resonance imaging (MRI) in predicting the subtypes of growth hormone (GH) pituitary adenoma (PA). Methods: Forty-nine patients with...
17.
Wang P, Pei X, Yin X, Ren J, Wang Y, Ma L, et al.
Sci Rep
. 2021 Jul;
11(1):13729.
PMID: 34215760
This study was to assess the effect of the predictive model for distinguishing clear cell RCC (ccRCC) from non-clear cell RCC (non-ccRCC) by establishing predictive radiomic models based on enhanced-computed...
18.
Pei X, Wang P, Ren J, Yin X, Ma L, Wang Y, et al.
Front Oncol
. 2021 Jun;
11:659969.
PMID: 34123817
Purpose: This study was to investigate the role of different radiomics models with enhanced computed tomography (CT) scan in differentiating low from high grade renal clear cell carcinomas. Materials And...
19.
Yuan T, Ji X, Liu Y, Gao G, Ren J, Huang D, et al.
J Oncol
. 2021 May;
2021:9437090.
PMID: 34035813
The imaging signs which can accurately predict survival prognosis after standard treatment of high-grade glioma (HGG) are highly desirable. This study aims to explore the role of new enhancement beyond...
20.
Song X, Ren J, Yao T, Zhao D, Niu J
Eur Radiol
. 2021 May;
31(11):8438-8446.
PMID: 33948702
Objectives: To develop a radiomics signature based on multisequence magnetic resonance imaging (MRI) to preoperatively predict peritoneal metastasis (PM) in ovarian cancer (OC). Methods: Eighty-nine patients with OC were divided...