Publications by authors named "Hua Dan Xue"

Objectives: Long-term follow-up is essential for type 1 autoimmune pancreatitis (AIP) patients due to high relapse rates. The cumulative radiation dose from repeated CT scans during follow-up should not be ignored. We aim to investigate the cumulative radiation dose in AIP patients undergoing CT surveillance and the diagnostic performance of CT in detecting disease relapse.

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  • Immune checkpoint inhibitors have improved treatment for solid tumors but can lead to unusual response patterns and side effects, complicating treatment assessments.
  • Medical imaging plays a vital role in evaluating how effective these therapies are, using both structural and functional methods.
  • The review highlights recent advancements in using imaging techniques, particularly when combined with artificial intelligence, to better assess solid tumors being treated with immune checkpoint inhibitors.
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  • The study aims to create a standardized MRI classification for congenital cervical malformations (CCMs) to improve diagnosis by identifying unique MRI features.
  • A retrospective analysis of pelvic MRI from 79 patients was conducted by experienced radiologists, categorizing CCMs into three types and assessing various clinical features and surgical methods.
  • The PUMCH classification showed promising results, indicating that patients with type I CCM have better surgical outcomes and anatomical recovery compared to types II and III, suggesting its potential to enhance clinical diagnosis efficiency.
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As the detection rate of pancreatic cystic lesions(PCL)increases,artificial intelligence(AI)has made breakthroughs in the imaging workflow of PCL,including image post-processing,lesion detection,segmentation,diagnosis and differential diagnosis.AI-based image post-processing can optimize the quality of medical images and AI-assisted models for lesion detection,segmentation,diagnosis and differential diagnosis significantly enhance the work efficiency of radiologists.This article reviews the application progress of AI in PCL imaging and provides prospects for future research directions.

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Objectives: To evaluate the diagnostic performance of quantitative magnetic resonance (MR) imaging biomarkers in distinguishing between inflammatory pancreatic masses (IPM) and pancreatic cancer (PC).

Methods: A literature search was conducted using PubMed, Embase, the Cochrane Library, and Web of Science through August 2023. Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) was used to evaluate the risk of bias and applicability of the studies.

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Purpose: We aimed to systematically assess the methodological quality and clinical potential application of published magnetic resonance imaging (MRI)-based radiomics studies about endometrial cancer (EC).

Methods: Studies of EC radiomics analyses published between 1 January 2000 and 19 March 2023 were extracted, and their methodological quality was evaluated using the radiomics quality score (RQS) and Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). Pairwise correlation analyses and separate meta-analyses of studies exploring differential diagnoses and risk prediction were also performed.

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Rationale And Objectives: Magnetic resonance imaging (MRI) has good diagnostic performance and causes no radiation damage, making it an ideal tool for the autoimmune pancreatitis (AIP) surveillance. However, its time cost is high. This study aimed to evaluate (1) whether a simplified protocol (SP) of MRI for AIP surveillance provides information equivalent to the comprehensive protocol (CP) and (2) the time cost reductions associated with using an SP.

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  • The study reviews the use of CT and MRI-based radiomics in ovarian cancer, focusing on the quality of methodologies and their clinical relevance.
  • A comprehensive analysis was conducted on 57 articles, indicating that many studies exhibit low methodological quality and are at risk of bias.
  • Despite these issues, radiomics techniques showed potential in improving differential diagnosis and prognostic prediction for ovarian cancer patients.
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Objective: To develop and validate a model that can preoperatively identify the ovarian clear cell carcinoma (OCCC) subtype in epithelial ovarian cancer (EOC) using CT imaging radiomics and clinical data.

Material And Methods: We retrospectively analyzed data from 282 patients with EOC (training set = 225, testing set = 57) who underwent pre-surgery CT examinations. Patients were categorized into OCCC or other EOC subtypes based on postoperative pathology.

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Objective To compare the image quality of three high-resolution dynamic MRI methods for evaluating the motion of temporomandibular joint disc and condyle. Methods Twenty-five patients with suspected temporomandibular joint disorders were examined by single-shot fast spin-echo (SSFSE),fast imaging employing steady-state acquisition (FIESTA),and spoiled gradient echo (SPGR) on the oblique sagittal position.Two radiologists performed subjective and objective evaluation on the images with double-blind method.

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  • This study aimed to assess the feasibility of a deep learning-enhanced T2-weighted turbo spin echo (TSE) MRI sequence for female pelvic imaging, comparing it to the traditional T2-weighted TSE as a benchmark.!* -
  • A total of 72 participants (24 volunteers and 48 patients with benign uterine diseases) underwent both T2 and T2 scans, with image quality analyzed through metrics like signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and qualitative assessments by radiologists.!* -
  • Results indicated that the deep learning T2 sequence reduced imaging time by 62.7% and yielded higher image quality, with improved sharpness, reduced artifacts
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Objective: To evaluate and compare the diagnostic performance of apparent diffusion coefficient (ADC) values and MRI-based radiomics analysis for lymph node metastasis (LNM) detection in patients with cervical cancer (CC).

Methods: We searched relevant databases for studies on ADC values and MRI-based radiomics analysis for LNM detection in CC between January 2001 and December 2021. Methodological quality assessment of risk of bias using Quality Assessment of Diagnostic Accuracy Studies 2 and radiomics quality score (RQS) of the studies was conducted.

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Objective To evaluate the effect of a deep learning reconstruction (DLR) method on the visibility of contrast-enhanced CT images of the biliary system by comparing it with different iterative reconstruction algorithms including the adaptive iterative dose reduction 3D (AIDR 3D) algorithm,forward projected model based iterative reconstruction solution (FIRST),and filtered back projection (FBP) algorithm. Methods A total of 30 patients subjected to abdominal contrast-enhanced CT and diagnosed with dilatation of common bile duct or extrahepatic bile duct were retrospectively included in this study.The images of the portal phase were reconstructed via four different algorithms (FBP,AIDR 3D,FIRST,and DLR).

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Objective To evaluate changes in morphology of the cesarean scar and uterus between one and two years after cesarean section using high-resolution, three dimensional T2-weighted sampling perfection with application optimized contrast using different flip angle evolutions Magnetic Resonance Imaging (3D T2w SPACE MRI). Methods This prospective study was performed to investigate morphological changes in the cesarean scars and uterus from one to two years after cesarean section using high-resolution, 3D T2w SPACE MRI. The healthy volunteers having no childbearing history were recruited as the controls.

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Ewing's sarcoma in the cervix is characterized by extremely rare occurrence,high degree of malignancy,and rapid progression.The diagnosis of this disease is based on pathology and immunohistochemistry. The main image of the case reported in this paper showed the cervical cyst with solid mass,large volume,and uneven density and signal,and the solid part can be strengthened in enhanced scanning.

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As the detection rate of pancreatic cystic neoplasms (PCN) increases,recommendations or guidelines for the diagnosis and treatment of PCN have been released from professional organizations.From the perspective of radiology,we compared seven guidelines in terms of general introduction,preoperative monitoring methods and strategies,stratification of risk factors,surgical indications,and postoperative follow-ups,aiming to provide references for the evaluation of images and the formulation of individualized approach for the treatment of PCN.

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Objectives: To analyze and summarize the effect of SSA treatment on EAS due to p-NETs (EAS-p-NETs).

Methods: Thirteen patients with EAS-p-NETs treated with SSAs at our center or described in the literature were included in this study. Clinical characteristics, laboratory data, imaging studies, histopathologic results, the effect of SSA treatment, and the prognosis of these EAS-p-NET patients were evaluated.

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  • The study focuses on creating a radiomics model using T2-weighted imaging to improve the prediction of cervical cancer stromal invasion depth.
  • Between 2017 and 2021, 234 patients were analyzed, with a training and validation cohort established to assess model effectiveness.
  • The developed model demonstrated higher diagnostic accuracy compared to radiologists, suggesting MRI-based analysis is a valuable tool for preoperative evaluation of early-stage cervical cancer.
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Objectives: To develop and validate a clinical-radiomics model that incorporates radiomics signatures and pretreatment clinicopathological parameters to identify multimodality therapy candidates among patients with early-stage cervical cancer.

Methods: Between January 2017 and February 2021, 235 patients with IB1-IIA1 cervical cancer who underwent radical hysterectomy were enrolled and divided into training (n = 194, training:validation = 8:2) and testing (n = 41) sets according to surgical time. The radiomics features of each patient were extracted from preoperative sagittal T2-weighted images.

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Liver metastasis is not rare during the course of neuroendocrine neoplasms.The methods for treating neuroendocrine neoplasm with liver metastasis(NENLM)are diversifying,which exposes the limitations of the early therapeutic response assessment based on only morphological changes.The emerging imaging biomarkers can sensitively describe changes in response to treatment from the functional level,providing new ideas for the therapeutic response evaluation of NENLM.

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Objectives: The least amount of contrast medium (CM) should be used under the premise of adequate diagnosis. The purpose of this study is to evaluate the feasibility of utilizing ultra-low-dose (224 mgI/kg) CM for pancreatic artery depiction using the combination of advanced virtual monoenergetic imaging (VMI+) and high-concentration (400 mgI/mL) CM.

Materials And Methods: 41 patients who underwent both normal dose CM (ND-CM, 320 mgI/kg) and low dose CM (LD-CM, 224 mgI/kg) thoracoabdominal enhanced CT for tumor follow-up were prospectively included.

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Objectives To investigate whether a longer time period of gadolinium ethoxybenzyl diethylenetriaminepen-taacetic acid (Gd-EOB-DTPA)-enhanced T1 mapping scanning, as well as dynamic contrast-enhanced (DCE) and multiple hepatobiliary phase magnetic resonance imaging (MRI) have the potential to provide information about liver function in rats with liver fibrosis. Methods Forty rats were divided into the carbon tetrachloride-induced hepatic injury groups [carbon tetrachloride for four (=14), eight (=8), or twelve (=8) weeks] and the control group (=10). Gd-EOB-DTPA-enhanced MRI was performed including T1-mapping (delayed to 50 min), DCE, and multiple hepatobiliary phases.

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Objective To determine the appropriate averaging strategy for pancreatic perfusion datasets to create images for routine reading of insulinoma.Methods Thirty-nine patients undergoing pancreatic perfusion CT in Peking Union Medical College Hospital and diagnosed as insulinoma by pathology were enrolled in this retrospective study.The time-density curve of abdominal aorta calculated by software dynamic angio was used to decide the timings for averaging.

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Background: To evaluate 3-dimensional amide proton transfer weighted (APTw) imaging for type I endometrial carcinoma (EC), and investigate correlations of Ki-67 labelling index with APTw and intravoxel incoherent motion (IVIM) imaging.

Methods: 54 consecutive patients suspected of endometrial lesions underwent pelvic APTw and IVIM imaging on a 3 T MR scanner. APTw values and IVIM-derived parameters (Dt, D*, f) were independently measured by two radiologists on 22 postoperative pathological confirmed of type I EC lesions.

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Background: Rapid economic growth and increasing lifespan have contributed to an increasing burden of chronic non-communicable diseases in China. Population-based studies focusing on cardiovascular disease and age-related brain changes, with extensive clinical, genetic, and imaging data as well as a comprehensive evaluation of brain function are lacking in China. The Shunyi cohort study aimed to investigate the determinants and consequences of cardiovascular disease and age-related brain alterations among individuals residing in a rural area of Beijing.

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