Xin Zhang's research while affiliated with University of Jinan (Jinan, China) and other places

Publications (20)

Article
Full-text available
Background We aimed to assess whether the quantitative parameters of esophageal varices (EV) based on computed tomography (CT) can noninvasively predict severe EV and the risk of esophageal variceal bleeding (EVB). Methods A total of 136 endoscopically confirmed EV patients were included in this retrospective study and were divided into a non-cons...
Article
Deposited transition metal clusters and nanoparticles are widely used as catalysts and have long been thought stable in reaction conditions. We investigated the electronic structure and stability of freestanding and black phosphorene supported small Pd clusters containing 1 to 6 atoms in a CO or C2H4 atmosphere by extensive first-principles based c...
Article
Full-text available
Similar to the metal centers in biocatalysis and homogeneous catalysis, the metal species in single atom catalysts (SACs) are charged, atomically dispersed and stabilized by support and substrate. The reaction condition dependent catalytic performance of SACs has long been realized, but seldom investigated before. We investigated CO oxidation pathw...
Article
Full-text available
Objective Clinical evidence suggests that the risk stratification of portal hypertension (PH) plays a vital role in disease progression and patient outcomes. However, the gold standard for stratifying PH [portal vein pressure (PVP) measurement] is invasive and therefore not suitable for routine clinical practice. This study is aimed to stratify PH...
Article
Full-text available
Objective To investigate the tumorigenic role of spen paralogue and orthologue C-terminal domain-containing 1 (SPOCD1) in hepatocellular carcinoma (HCC) and identify the upstream regulatory mechanism. Methods We analyzed SPOCD1 and miR-133-3p expression in normal and HCC tissues from the Cancer Genome Atlas and UALCAN databases, and in normal hepa...
Article
To address the coupled damage from corrosion and welding on the performance of marine structures in a rationally macroscopic way, an experimental attempt is conducted and to propose a generalized corrosion-welding-based material model for various corrosion and welding scenarios. The tested D36 steel specimens have welding seams with three angles an...
Article
Purpose To assess whether CT (computed tomography)-derived quantitative parameters of liver lobe volume can predict severe esophageal varices (EV) and the risk of first variceal hemorrhage (FVH) in patients with liver cirrhosis. Methods A total of 217 endoscopically confirmed EV patients were included in this retrospective study and were divided i...
Article
Intraoperative deformation and radiation are common problems in spinal surgery. A three‐dimensional multi‐stage dynamic iterative non‐rigid registration method of the spine based on binocular structured light is proposed in this paper to overcome these problems. The problem of intraoperative radiation in traditional X‐ray and CT is overcome by usin...
Article
Fe is not only the most abundant metal on the planet but is also the key component of many enzymes in organisms that are capable of catalyzing many chemical conversions. Mono-dispersed Fe atoms on carbonaceous materials are single atom catalysts (SACs) that function like enzymes. To take advantage of the outstanding catalytic performance of Fe-base...
Article
Full-text available
In view of the problem that the doctor cannot quickly obtain the three-dimensional information of the liver surface during the traditional open resection of liver tumor without radiation, a new three-dimensional reconstruction system of liver surface based on binocular structured light is proposed in this paper to obtain three-dimensional informati...
Article
Objective Clinical evidence suggests that the response to immune checkpoint blockade depends on the immune status in the tumor microenvironment. This study aims to predict the immunophenotyping (IP) and overall survival (OS) of intrahepatic cholangiocarcinoma (ICC) patients using preoperative magnetic resonance imaging (MRI) texture analysis.Method...
Article
Full-text available
Objective To investigate the preoperative predictive value of non-invasive imaging biomarkers for programmed cell death protein 1/programmed cell death protein ligand 1 (PD-1/PD-L1) expression and outcome in intrahepatic cholangiocarcinoma (ICC) using machine learning. Methods PD-1/PD-L1 expression in 98 ICC patients was assessed by immunohistoche...
Article
Full-text available
Purpose: To investigate whether Liver Imaging Reporting and Data System (LI-RADS) imaging features at preoperative gadoxetic acid-enhanced MRI can predict microvascular invasion (MVI) and histologic grade of hepatocellular carcinoma (HCC) and to evaluate their associations with recurrence after curative resection of single HCC. Materials and meth...
Article
Background: This study aimed to evaluate the efficiency of gadoxetic acid-enhanced MRI-based radiomics features for prediction of overall survival (OS) in hepatocellular carcinoma (HCC) patients after surgical resection. Methods: This prospective study approved by the Institutional Review Board enrolled 120 patients with pathologically confirmed...
Article
Background: Neoadjuvant chemotherapy is currently recommended as preoperative treatment for locally advanced rectal cancer (LARC); however, evaluation of treatment response to neoadjuvant chemotherapy is still challenging. Aim: To create a multi-modal radiomics model to assess therapeutic response after neoadjuvant chemotherapy for LARC. Method...
Article
Background: To explore whether a multiparametric radiomics nomogram on computed tomography (CT) images based on radiomics and relevant parameters of esophageal varices (EV) can be used for predicting the EV severity in patients with cirrhotic livers. Methods: From January 2016 to August 2018, 136 consecutive patients with clinicopathologically c...
Article
Background: Combined hepatocellular and cholangiocarcinoma (CHC) and intrahepatic cholangiocarcinoma (ICC) are hard to identify in clinical practice preoperatively. This study looked to develop and confirm a radiomics-based model for preoperative differentiation CHC from ICC. Methods: The model was developed in 86 patients with ICC and 46 CHC, c...

Citations

... In summary, the ML algorithm could identify fibrous matrix features and correlate with HVPG measurements. In addition to morphology-based features, texture features and deep convolutional neural network-based imaging analysis also showed a potential performance in assessing PH (28,57). However, due to the end-to-end nature of the model, specific features that helped improve diagnostic performance could not be elucidated. ...
... Currently, non-invasive predictive parameters are predominantly imaging/ultrasonographic and laboratory parameters, including spleen diameter, spleen/liver stiffness, portal/splenic vein diameter, platelet count, platelet count to spleen diameter ratio, Fibrosis-4 score (FIB-4), aspartate aminotransferase to platelet ratio index (APRI), and aspartate aminotransferase to alanine aminotransferase ratio (AAR) (Giannini et al., 2003;Giannini et al., 2006;Hong et al., 2009;Kim et al., 2010;Colecchia et al., 2012;Berzigotti et al., 2013;Montasser et al., 2014;Morishita et al., 2014;Rockey et al., 2016). A few studies have reported the non-invasive prediction of EVB (Kothari et al., 2019;Wan et al., 2021) and large EVs (Sharma and Aggarwal, 2007;Lijing et al., 2014). To the best of our knowledge, there is currently no non-invasive prediction method for red signs. ...
... Adequate assessment of facial changes following craniofacial surgery is essential to In other fields, NICP has been used for intra-operative navigation for brain tumor resection or identifying the smallest region for intra-operative radiation in spinal surgery (129,130). Introducing this technique for skeletal level evaluation could allow for not only the analysis of rigid movements (e.g., advancements and rotations due to the RED-frame distraction), but also the smaller, more localised, 'intrinsic' changes resulting from the distraction. Prior studies on this topic analysed the rigid displacements and rotations that occur following RED-frame distraction, leaving the intrinsic, local bony changes due to distraction unknown (78,89,(131)(132)(133). ...
... Recently, we theoretically explored the reaction network for CO oxidation over Pd 1 and Fe 1 SACs on graphene and highlighted the vital role of the thermostability of reaction species in determining CO conversion and reaction pathways [55,56]. In this work, we focus on CO oxidation over AuBN to highlight the impact of coadsorbed substrates to the formation and evolution of surface species on SACs in reaction conditions with extensive first-principles-based calculations. ...
... Notably, predictive performance improved when peritumoural features were added into models (validation AUC = 0.899 vs. 0.640). In the context of intrahepatic cholangiocarcinoma (ICC), tumour flatness and higherorder radiomic families (variability of size zone volumes and first-order medians) in preoperative MR images could predict CD8 + TILs [58]. The AUC was 0.919 but a validation study was not performed. ...
... Examples of the applicability of AI on imaging are the capability of identifying EGFR and vascular endothelial growth factor expression levels through the identification of certain texture parameters by CT. [173] Also, the MRI texture signature, including three wavelets and one 3D feature, has a favourable ability to discriminate inflamed from non-inflamed immunophenotyping based on the density of CD8+ T cells and in predicting OS. [174] Similarly, a machine learning approach by MRI could serve as a noninvasive biomarker in predicting PD-1/ PD-L1 expression and prognosis of iCCA patients, which may guide clinical decision-making in selecting iCCA patients who may potentially benefit from PD-1/PD-L1 blockage. [175] On the same line, reasonable accuracy has been demonstrated in predicting tumour grade and higher AJCC (American Joint Committee on Cancer) stage in iCCA using certain qualitative and quantitative imaging traits. [176] These promising data from radiomics and radiogenomics are still preliminary and future studies based on large and multicentre prospective studies are needed. ...
... All LI-RADS algorithms are built on the foundation of standardized lexicon, technique, management, and reporting guidelines (30). LI-RADS assigns features that reflect the probability of HCC, nonHCC malignancy, or benignity (31), assesses the association between LI-RADS categories with microvascular invasion (MVI) and histologic grade of HCC (32), predicts the recurrence of HCC after primary liver transplantation within the Milan criteria (33), and evaluates the molecular alterations during hepatocarcinogenesis (34). Model calibration curves on the training (A) and validation sets (B) to predict glypican-3 positive expression in hepatocellular carcinoma. ...
... Several previous studies have shown that non-smooth tumor margins are closely related to microvascular invasion and differentiation (23,24). In recent years, Zhang et al. (25) and Chen et al. (26) discovered that nonsmooth tumor margins were independent prognostic factors for OS and RFS, which was in accordance with the results of our study. Interestingly, we found that, the younger the age, the worse the prognosis in the present study, which was inconsistent with some prior studies (27,28). ...
... Multimodality imaging has been frequently applied in the clinics to overcome the limitations of the independent techniques. Multimodal radiomics had also been investigated to add value in the diagnosis and treatment evaluation [26,27]. In one of our previous study, we found that CT radiomics was able to differentiate the primary adenocarcinoma (AD) and squamous cell carcinoma (SCC) for BM patients originated from NSCLC with a highest AUC of 0.828 [28]. ...
... A study including 118 patients with locally advanced rectal cancer (LARC) demonstrated the ability of a multimodal nomogram model including CT and MRI imaging, radiomics data and clinical data to predict the pathological response to neoadjuvant chemotherapy including fluoropyrimidines. The variation of radiomics (delta radiomics) parameters and the extraction of features from both "tumor-core" and "tumor border" has led to the proposal of "clinic-radiomics" models to predict the response to 5-FU, capecitabine or tegafur-based chemotherapy in LARC [45][46][47][48]. ...