A5100619232- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- AI in cancer detection
- MRI in cancer diagnosis
- Digital Radiography and Breast Imaging
- Inflammatory Bowel Disease
- Breast Lesions and Carcinomas
- Microwave Imaging and Scattering Analysis
- Diagnosis and treatment of tuberculosis
- Lung Cancer Research Studies
- Renal cell carcinoma treatment
- Breast Cancer Treatment Studies
- Ultrasound and Hyperthermia Applications
- Lung Cancer Treatments and Mutations
- Radiation Dose and Imaging
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Endometrial and Cervical Cancer Treatments
- Seismic Imaging and Inversion Techniques
- Advanced X-ray and CT Imaging
- Cardiovascular Disease and Adiposity
- Global Cancer Incidence and Screening
- Cardiac Imaging and Diagnostics
Central Hospital of Zibo
2025
Anhui Medical University
2021-2024
Anhui Provincial Hospital
2021-2024
University of Science and Technology of China
2022-2024
The Barbara Ann Karmanos Cancer Institute
2006-2024
First Affiliated Hospital of Anhui Medical University
2021-2024
Shanghai University of Traditional Chinese Medicine
2024
Wayne State University
2008-2024
State Key Laboratory of Natural Medicine
2020-2023
Taizhou University
2022-2023
Significance The demonstration of a robust neurogenesis program in the adult gut and existence an enteric neural precursor cell (ENPC) responsible for same has profound biological clinical implications. This demonstrates presence outside CNS, indicates vulnerability nervous system to exogenous influences, even adults. As example, it is possible that acquired diseases system, such as achalasia, may result from loss ENPC, analogous congenital disorders, Hirschsprung’s. ability identify ENPC...
Objective: Accurate segmentation of liver tumors, which could help physicians make appropriate treatment decisions and assess the effectiveness surgical treatment, is crucial for clinical diagnosis cancer. In this study, we propose a 4-dimensional (4D) deep learning model based on 3D convolution convolutional long short-term memory (C-LSTM) hepatocellular carcinoma (HCC) lesion segmentation. Methods: The proposed utilizes 4D information dynamic contrast enhanced (DCE) magnetic resonance...
With the improvement in health awareness, humanistic care ability of nurses has become a focus public attention. The aim study was to confirm relationship between psychological capital and nurses, provide suggestions on improving nurses.A cross-section survey conducted. Three hundred thirty-nine were recruited from tertiary general hospital Taizhou, China. Psychological measured using self-reported questionnaire. Correlation analysis stepwise multiple regression performed analyze correlation...
Purpose: To investigate the use of whole‐breast sound speed measurement as a marker breast density (BD), known risk factor for cancer. Methods: As part an ongoing study cancer detection, 249 patients were scanned with clinical prototype that operates on principles ultrasound tomography. Typically, 40–100 tomograms reconstructed from scan data, corresponding to entire volume each patient. The data used estimate averaged (VASS) mammograms calculate mammographic percent (MPD) using CUMULUS...
OBJECTIVE. The objective of our study was to determine the clinical display thresholds an ultrasound tomography prototype relative MRI for comparable visualization breast anatomy and tumor rendering.
Background: Previous studies have shown that personality affects creativity, and physical activity is associated with cognitive function. However, the relationship among activity, remains unclear. This study sought to examine personality, creativity identify relevant risk factors of trait creativity. Structural equation modeling (SEM) was used assess effect (extraversion, agreeableness, conscientiousness, neuroticism, openness) on traits.
Ultrasound tomography is an emerging imaging modality that uses the transmission of ultrasound through tissue to reconstruct images its mechanical properties. Initially, ray-based methods were used these images, but their inability account for diffraction often resulted in poor resolution. Waveform inversion overcame this limitation, providing high-resolution tissue. Most clinical implementations, directed at breast cancer imaging, currently rely on a frequency-domain waveform reduce...
The immune response is orchestrated by a complex network of cytokines, which play fundamental role in both autoimmune diseases and cancer therapy. Immune checkpoint inhibitors (ICIs), target key inhibitory pathways such as PD-1/PD-L1 CTLA-4, have revolutionized immunotherapy reinstating T-cell activity overcoming evasion mechanisms [1]. Despite their success cancers like melanoma lung cancer, substantial number patients fail to respond ICIs. This resistance often due the lack pre-existing...
The purpose of this paper is to describe the technical and clinical performance SoftVue, a breast imaging device based on principles ultrasound tomography. We report initial results from data acquired 30 participants in recently undertaken study. Initial suggest that SoftVue can accurately image full range anatomy, including both benign lesions cancer. Ongoing research focused assessing SoftVue's ability differentiate masses
To improve clinical breast imaging, a new ultrasound tomography imaging device (CURE) has been built at the Karmanos Cancer Institute. The ring array of CURE records transmitted and reflected signals simultaneously. We develop bent-ray algorithm for reconstructing sound-speed distribution using time-of-flights signals. study capability phantom dataset over 190 patients' data. Examples are presented to demonstrate reconstructions different types from fatty dense on BI-RADS categories 1-4. Our...
Multiple tissue parameters are useful for early breast cancer detection and diagnosis. Ultrasound tomography is a new, important imaging modality our computerized ultrasound risk evaluation (CURE) prototype, which employs ring transducer array to scan the whole in water tank. We use bent-ray time-of-light reconstruct sound speeds of breasts with different densities. In addition, we develop an attenuation reconstruction method based on complex- signal energy ratios. apply techniques vitro...
Conventional sonography, which performs well in dense breast tissue and is comfortable radiation-free, not practical for screening because of its operator dependence the time needed to scan whole breast. While magnetic resonance imaging (MRI) can significantly improve on these limitations, it also has long been prohibitively expensive routine use. There therefore a need an alternative method that obviates constraints standard modalities. The lack such barrier dramatically impacting mortality...
Our laboratory has focused on the development of ultrasound tomography (UST) for breast imaging. To that end we have been developing and testing a clinical prototype in Karmanos Cancer Institute's (KCI) center. The our guided by feedback from data accumulated over 300 patients recruited last 4 years. techniques generate whole reflection images as well acoustic parameters sound speed attenuation. combination these reveals major anatomy, including fat, parenchyma, fibrous stroma masses. Fusion...
To explore the feasibility of improving cross-sectional reflection imaging breast using refractive and attenuation corrections derived from ultrasound tomography data.The authors have adapted planar Kirchhoff migration method, commonly used in geophysics to reconstruct images, for use breast. Furthermore, extended this method allow attenuative corrections. Using clinical data obtained with a prototype, applied generate images that were corrected known distributions sound speed same data.A...
To establish a clinical radiomics nomogram to differentiate Crohn's disease (CD) from intestinal tuberculosis (ITB).Ninety-three patients with CD and 67 ITB were recruited (111 in training cohort 49 test cohort). The region of interest (ROI) for the lesions ileocecal was delineated on computed tomography enterography features extracted. Radiomics filtered by gradient boosting decision tree (GBDT), score calculated using signature-based formula. We constructed model combining factors through...
To develop a combined nomogram based on preoperative multimodal magnetic resonance imaging (mMRI) and clinical information for predicting recurrence in patients with high-grade serous ovarian carcinoma (HGSOC).This retrospective study enrolled 141 clinicopathologically confirmed HGSOC, including 65 76 without recurrence. Radiomics features were extracted from the mMRI images (FS-T2WI, DWI, T1WI+C). L1 regularization-based least absolute shrinkage selection operator (LASSO) regression was...
Small (< 4 cm) clear cell renal carcinoma (ccRCC) is the most common type of small cancer and its prognosis poor. However, conventional radiological characteristics obtained by computed tomography (CT) are not sufficient to predict nuclear grade ccRCC before surgery.A total 113 patients with histologically confirmed were randomly assigned training set (n = 67) testing 46). The baseline CT imaging data evaluated statistically develop a clinical model. A radiomics model was created, score...