Publications by authors named "Yunzhu Wu"

Background: Several clinical neuroimaging studies have reported structural and functional brain abnormalities associated with peripheral inflammatory cytokines or kynurenine pathway metabolites in patients with depression. However, it is not clear whether the abnormal findings are changes that are intrinsic to depression or whether they are caused by confounding factors such as age, illness duration, or medication.

Methods: To exclude confounding factors, we used chronic unpredictable mild stress (CUMS) rat model and magnetic resonance T1/T2 mapping to investigate the microstructural characteristics of the prefrontal cortex (PFC), hippocampus and corpus callosum and further explored the association between peripheral blood depression-related indicators and microstructural characteristics.

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Purpose: The aim of this study was to evaluate the utility of T1-mapping, high-spatial-resolution T2-weighted imaging (HR-T2WI), and their combined model in distinguishing between adenocarcinoma not otherwise specified (AC) and mucinous adenocarcinoma (MC) in rectal cancer.

Methods: A total of 55 patients with pathologically confirmed AC and 37 patients with MC were included in the study. Two radiologists independently reviewed the HR-T2WI and provided assessments of histopathological type.

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  • The study aims to determine how effective multiparametric MRI-based imaging is in predicting cervical stromal invasion in patients with early-stage endometrial carcinoma.
  • Researchers analyzed MRI and clinical data from 680 patients, utilizing advanced algorithms to categorize structural and functional habitats in the tumors.
  • Results indicated that combining clinical predictors with a specific functional habitat model improved prediction accuracy, suggesting this method is a valuable, noninvasive tool for assessing cervical stromal invasion risk.
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  • The study aimed to evaluate the effectiveness of different MRI-based algorithms (GMM, K-means, and Otsu) for predicting sarcopenia and to create a combined predictive model using clinical data.
  • The research involved analyzing MRI data from 340 patients (118 with sarcopenia and 222 without), using various algorithms to segment muscle and fat tissues, and performing logistic regression to identify key predictors.
  • Results showed that the cohort-level GMM outperformed other methods, with the best prediction accuracy achieved when combined with clinical factors like age, BMI, and serum albumin, improving area under the curve (AUC) scores significantly.
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  • Scientists are studying how to use special MRI scans to tell the difference between two types of uterine tumors: uterine sarcoma (US) and atypical leiomyoma (ALM).
  • They looked at data from 69 patients with US and 225 with ALM, using different computer methods to analyze the MRI scans.
  • The study found that certain signs, like abnormal bleeding and lab test results, can help predict if someone has US, and the new imaging method showed good accuracy in telling the two tumors apart.
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Purpose: To assess the value of orthogonal axial images (OAI) of MRI in gastric cancer T staging.

Methods: This retrospective study enrolled 133 patients (median age, 63 [range, 24-85] years) with gastric adenocarcinoma who underwent both CT and MRI followed by surgery. MRI lacking or incorporating OAI and CT images were evaluated, respectively.

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Background: Placental infarction refers to a localized area of ischemic villous necrosis resulting from the interruption of maternal blood flow to the intervillous space, which can be attributed to spasm, stenosis, or occlusion of the decidual spiral artery caused by systemic or localized maternal vascular disease. The presence of large placental infarcts may pose significant risks to fetal well-being, including intrauterine growth retardation, fetal distress, and even fetal demise. Although placental infarction is commonly identified during postnatal pathological examinations, its prenatal diagnosis through ultrasound remains challenging and has been rarely reported.

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Purpose: To investigate and discuss the mental health status of left-behind children in Anhui Province before and after the COVID-19 pandemic and analyze its influencing factors.

Methods: A total of 82 left-behind children studying in grades 4 to 6 in Anhui Province, China were investigated by using the Symptom Check List-90 (SCL-90), Perceived Social Support Scale (PSSS) and Self-Esteem Scale (SES). Differences in the mental health status, perceived social support, and self-esteem of left-behind children before and after the COVID-19 pandemic were analyzed using the independent sample -test.

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Rationale And Objectives: This study aims to explore the feasibility of MRI-based habitat radiomics for predicting response of platinum-based chemotherapy in patients with high-grade serous ovarian carcinoma (HGSOC), and compared to conventional radiomics and deep learning models.

Materials And Methods: A retrospective study was conducted on HGSOC patients from three hospitals. K-means algorithm was used to perform clustering on T2-weighted images (T2WI), contrast-enhanced T1-weighted images (CE-T1WI), and apparent diffusion coefficient (ADC) maps.

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Objectives: To evaluate the identification of tumor deposits (TDs) and the prognostic significance of an MRI tumor regression grade for TDs in patients with rectal cancer treated with neoadjuvant chemoradiotherapy (nCRT).

Methods: Ninety-one patients with cT3 or cT4 rectal cancer who underwent surgery following nCRT between August 2014 and June 2020 were retrospectively analyzed. Changes in pre-nCRT MRI-detected TDs (mrTDs) were described as mrTD regression grade.

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Preoperative assessment of liver function reserve (LFR) is essential for determining the extent of liver resection and predicting the prognosis of patients with liver disease. In this paper, we present a real-time, handheld photoacoustic imaging (PAI) system-based noninvasive approach for rapid LFR assessment. A linear-array ultrasound transducer was sealed in a housing filled with water; its front end was covered with a plastic wrap.

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Background: After neoadjuvant therapy, most of the lymph nodes (LNs) will shrink and disappear in patients with rectal cancer. However, LNs that are still detectable on MRI carry a risk of metastasis. This study aimed to evaluate the performance of the European Society of Gastrointestinal and Abdominal Radiology (ESGAR) criterion (short-axis diameter ≥ 5 mm) in diagnosing malignant LNs in patients with rectal cancer after neoadjuvant therapy, and whether nodal morphological characteristics (including shape, border, signal homogeneity, and enhancement homogeneity) could improve the diagnostic efficiency for LNs ≥ 5 mm.

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Purpose: The novel coronavirus disease 2019 (COVID-19) pandemic has become a challenge for adolescents in China. This study aimed to explore the relationship between academic anxiety and self-esteem in Chinese candidates preparing for the college entrance examination during the COVID-19 pandemic and to examine the mechanism of mediating effect of self-regulated learning ability.

Methods: A cross-sectional study was conducted among 293 college entrance examination candidates (including 170 females) from two middle schools in China using a voluntary, web-based, and anonymous questionnaire implemented via the Questionnaire Star app during COVID-19 prevalence in 2020.

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Purpose: The aim of this study was to evaluate the value of different multiparametric MRI-based radiomics models in differentiating stage IA endometrial cancer (EC) from benign endometrial lesions.

Methods: The data of patients with endometrial lesions from two centers were collected. The radiomics features were extracted from T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) map, and late contrast-enhanced T1-weighted imaging (LCE-T1WI).

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Purpose: The aim of this study is to evaluate the utility of magnetization transfer (MT) imaging in the study of normal uterus and common uterine lesions.

Methods: This prospective study enrolled 160 consecutive patients with suspected uterine lesions. MT ratio (MTR) map was obtained by pelvic MT imaging on a 3.

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Rationale And Objectives: To establish a radiomics nomogram for detecting deep myometrial invasion (DMI) in early stage endometrioid adenocarcinoma (EAC).

Materials And Methods: A total of 266 patients with stage I EAC were divided into training (n = 185) and test groups (n = 81). Logistic regression were used to identify clinical predictors.

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Objective: To analyze the value of multiparameter magnetic resonance (mpMRI) in the diagnosis of pancreatic cancer with vascular invasion from two aspects: morphology and function, so as to provide a reliable diagnostic basis for preparing the clinical treatment plans.

Methods: Totally 31 case data of pancreatic cancer patients diagnosed in our hospital from January 2020 to March 2021 were enrolled in this study. All patients underwent multiparameter magnetic resonance imaging (T1WI, T2WI, DKI, and DCE-MRI) before surgery, and then all patients underwent pancreatic cancer surgery.

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Venous thromboembolism (VTE) is a prevalent public health issue worldwide. Before treatment, spatiotemporally accurate thrombus detection is essential. However, with the currently available imaging technologies, this is challenging.

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Automatic and accurate segmentation of breast lesion regions from ultrasonography is an essential step for ultrasound-guided diagnosis and treatment. However, developing a desirable segmentation method is very difficult due to strong imaging artifacts e.g.

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Calcification causes mixed signal intensity in the lymph node (LN) on high-resolution magnetic resonance imaging (MRI), which is a strong indicator of regional LN metastasis in rectal cancer. Calcified metastatic LNs in rectal cancer commonly display scattered fine punctate calcifications to varying degrees on computed tomography (CT). On high-resolution MRI, the calcifications manifest a patchy area of signal loss in corresponding calcified area that is larger than on CT.

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Although photoacoustic imaging combined with second near infrared (NIR II) molecular probes for tumor diagnosis has drawn tremendous attention during the past few decades, the targeted photoacoustic imaging of orthotopic hepatocellular carcinoma (HCC) still remains a challenge due to high liver vascularization and non-specificity of probes in liver tumors. Herein, we report on cyclic arginine-glycine-aspartic acid (cRGD) peptide conjugated ultrasmall CuS nanoparticles (CuS@BSA-RGD NPs) which encapsulate bovine serum albumin (BSA) and possess high optical absorption at 1064 nm. The encapsulation of BSA results in great biocompatibility of CuS@BSA-RGD NPs along with excellent photostability and physiological stability.

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