A5100456679- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Renal cell carcinoma treatment
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Hepatocellular Carcinoma Treatment and Prognosis
- Pancreatic and Hepatic Oncology Research
- Sarcoma Diagnosis and Treatment
- AI in cancer detection
- Gastric Cancer Management and Outcomes
- Cardiac, Anesthesia and Surgical Outcomes
- MRI in cancer diagnosis
- Aerogels and thermal insulation
- Spine and Intervertebral Disc Pathology
- Surface Modification and Superhydrophobicity
- Advanced Radiotherapy Techniques
- Bone Tumor Diagnosis and Treatments
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Hip and Femur Fractures
- Medical Image Segmentation Techniques
- Cassava research and cyanide
- Gallbladder and Bile Duct Disorders
- Photoacoustic and Ultrasonic Imaging
- Heme Oxygenase-1 and Carbon Monoxide
Shenyang Institute of Computing Technology (China)
2023-2025
Chinese Academy of Sciences
2023-2025
University of Chinese Academy of Sciences
2023-2025
Yangzhou University
2024
Northern Jiangsu People's Hospital
2024
First Affiliated Hospital of Xi'an Jiaotong University
2023-2024
Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University
2024
Wenzhou Medical University
2024
Chongqing University
2024
Beijing Institute of Technology
2024
The purpose of this study is to develop and validate a nomogram model combing radiomics features clinical characteristics preoperatively differentiate grade 1 2/3 tumors in patients with pancreatic neuroendocrine (pNET).Experimental Design: A total 137 who underwent contrast-enhanced CT from two hospitals were included study. the second hospital (n = 51) selected as an independent validation set. arterial phase was for feature extraction. Mann-Whitney U test least absolute shrinkage...
Purpose: Accurate lymph node (LN) status evaluation for intrahepatic cholangiocarcinoma (ICC) patients is essential surgical planning.This study aimed to develop and validate a prediction model preoperative LN in ICC patients.Methods Materials: A group of 106 patients, who were diagnosed between April 2011 February 2016, was used training.Image features extracted from T1-weighted contrast-enhanced MR images.A support vector machine (SVM) built by using the most status-related features, which...
The poor 5-year survival rate in high-grade osteosarcoma (HOS) has not been increased significantly over the past 30 years. This work aimed to develop a radiomics nomogram for prediction at time of diagnosis HOS.In this retrospective study, an initial cohort 102 HOS patients, diagnosed from January 2008 March 2011, was used as training cohort. Radiomics features were extracted pretreatment diagnostic computed tomography images. A signature constructed with lasso algorithm; then, score...
BackgroundEvaluating clinical outcome prior to concurrent chemoradiotherapy remains challenging for oesophageal squamous cell carcinoma (OSCC) as traditional prognostic markers are assessed at the completion of treatment. Herein, we investigated potential using sub-region radiomics a novel tumour biomarker in predicting overall survival OSCC patients treated by chemoradiotherapy.MethodsIndependent patient cohorts from two hospitals were included training (n = 87) and validation 46)....
Introduction: The emerging field of "radiomics" has considerable potential in disease diagnosis, pathologic grading, prognosis evaluation, and prediction treatment response. We aimed to develop a novel radiomics nomogram based on features clinical characteristics that could preoperatively predict early recurrence (ER) intrahepatic cholangiocarcinoma (ICC) after partial hepatectomy. Methods: A predictive model was developed from training cohort comprising 139 ICC patients diagnosed between...
The difficulty of assessment neoadjuvant chemotherapeutic response preoperatively may hinder personalized-medicine strategies that depend on the results from pathological examination.A total 191 patients with high-grade osteosarcoma (HOS) were enrolled retrospectively November 2013 to 2017 and received chemotherapy (NCT). A cutoff time 2016 was used divide training set validation set. All underwent diagnostic CTs before after chemotherapy. By quantifying tumor regions CT images NCT, 540...
We aimed to develop and validate a nomogram combining bi-regional radiomics features from multimodal magnetic resonance imaging (MRI) clinicoradiological characteristics preoperatively predict microvascular invasion (MVI) of hepatocellular carcinoma (HCC).A total 267 HCC patients were divided into training (n=194) validation (n=73) cohorts according MRI data. Bi-regional extracted whole tumors peritumoral regions in MRI. The minimum redundancy maximum relevance (mRMR) algorithm was applied...
Scatter correction is an essential technique to improve the image quality of cone-beam CT (CBCT). Although different scatter methods have been proposed in literature, a standard solution still being studied due limitations including accuracy, computation efficiency and generalization. In this paper, we propose novel scheme for CBCT using deep residual convolution neural network (DRCNN) overcome limitations. The method combines (CNN) learning framework (RLF) train mapping function from...
The purpose of this study was to investigate the predictive performance 2D and 3D image features across multi-organ cancers using multi-modality images in radiomics studies. In retrospective study, we included 619 patients with three different cancer types (intrahepatic cholangiocarcinoma (ICC), high-grade osteosarcoma (HOS), pancreatic neuroendocrine tumors (pNETs)) four clinical end points (early recurrence (ER), lymph node metastasis (LNM), 5-year survival histologic grade). fifty-eight...
Background: Serous cystadenoma (SCA), mucinous (MCN), and intraductal papillary neoplasm (IPMN) are three subtypes of pancreatic cystic (PCN). Due to the potential malignant-transforming, patients with MCN IPMN require radical surgery while SCA need periodic surveillance. However, accurate pre-surgery diagnosis between SCA, MCN, remains challenging in clinic. Methods: This study enrolled 164 including 76 40 48 IPMN. Patients were randomly split into a training cohort (n = 115) validation...
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and has poor prognosis. Cytokeratin (CK)19-positive (CK19+) HCC especially aggressive; early identification this subtype timely intervention can potentially improve clinical outcomes. In present study, we developed a preoperative gadoxetic acid-enhanced magnetic resonance imaging (MRI)-based radiomics model for noninvasive accurate classification CK19+ HCC. A multicenter time-independent cohort 257 patients were...
The polarization of microglia is recognized as a crucial factor in reducing neuroinflammation and promoting hematoma clearance after intracerebral hemorrhage (ICH). Previous studies have revealed that redox components participate the regulation microglial polarization. Recently, novel Nrf2 activator omaveloxolone (Omav) has been validated to improve neurological function patients with neurodegenerative disorders by regulating antioxidant responses. In this study, we examined efficacy Omav...
In tasks such as intelligent surveillance and human–computer interaction, developing rapid effective models for human action recognition is crucial. Currently, Graph Convolution Networks (GCNs) are widely used skeleton-based recognition. Still, they primarily face two issues: (1) The insufficient capture of global joint responses, making it difficult to utilize the correlations between all joints. (2) Existing often tend be over-parameterized. this paper, we therefore propose an Efficient...
Previous studies have suggested that the intratumoral texture features may reflect tumor recurrence risk in intrahepatic cholangiocarcinoma (ICC). The peritumoral be associated with distribution of microsatellites. Therefore, integrating imaging based on and areas provide more accurate predictions (both early late recurrences) than conducted area only. This retrospective study included 209 ICC patients. We divided patient population into two sub-groups according to order diagnosis time: a...
To investigate the clinical efficacy of combining digital subtraction angiography-guided percutaneous vertebroplasty (PVP) and 125I seeds implantation for treatment spinal osteoplastic metastasis. A combination PVP was conducted 50 patients with metastasis, while other who received regular radiation therapy were used as a comparison. Visual analogue pain scale (VAS) score life quality (EORTCQLQ-30) determined all patients. Surgery successful in 89 segments vertebral body Each segment...
Objective: Dual-energy CT (DECT) strengthens the material characterization and quantification due to its capability of discrimination. The image-domain multi-material decomposition (MMD) via matrix inversion suffers from serious degradation signal-to-noise ratios (SNRs) decomposed images, thus clinical application DECT is limited. In this paper, we propose a noise suppression algorithm based on propagation for MMD. Methods: in images only distributes two perpendicular directions suppressed...
Abstract Purpose To study and investigate the synergistic benefit of incorporating both conventional handcrafted learning‐based features in disease identification across a wide range clinical setups. Methods materials In this retrospective study, we collected 170, 150, 209, 137 patients with four different types associated objectives : Lymph node metastasis status gastric cancer (GC), 5‐year survival high‐grade osteosarcoma (HOS), early recurrence intrahepatic cholangiocarcinoma (ICC),...
Objective: Radix curcumae is a Chinese medicinal herb commonly used in the treatment of malignancy. This study was to investigate chemopreventive effect an extract solution from radix rat model gastric cancer induced by N-methyl-N′-nitro-N-nitrosoguanidine (MNNG). Methods: Eighty male Wistar rats were randomly allocated 5 groups administered different agents for 40 weeks: group A, water and normal saline; B, MNNG C, celecoxib; D, low-dose (1 g/ml) steam distillation solution; E, high-dose (2...
This study aimed to determine the impact of including radiomics analysis non-tumorous bone region interest in improving performance pathological response prediction chemotherapy high-grade osteosarcomas (HOS), compared tumor alone.This retrospective included 157 patients diagnosed with HOS between November 2013 and 2017 (age range, 5-44 years; mean age, 16.99 ±7.42 years), which 69 88 were as good (pGR) non-pGR, respectively. Radiomics features extracted from regions based on diagnostic CT...