A5101957193- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Head and Neck Cancer Studies
- Bone and Joint Diseases
- Brain Metastases and Treatment
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Hepatocellular Carcinoma Treatment and Prognosis
- Brain Tumor Detection and Classification
- Head and Neck Surgical Oncology
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Research Studies
- Salivary Gland Tumors Diagnosis and Treatment
- Lanthanide and Transition Metal Complexes
- Pancreatic and Hepatic Oncology Research
- Modular Robots and Swarm Intelligence
- Optimization and Search Problems
- Colorectal Cancer Surgical Treatments
- Colorectal Cancer Treatments and Studies
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Artificial Intelligence in Healthcare and Education
- Advanced Radiotherapy Techniques
- Robotic Path Planning Algorithms
Fujian Provincial Cancer Hospital
2016-2025
Fujian Medical University
2016-2025
First Affiliated Hospital Zhejiang University
2023
University of Nebraska Medical Center
2018
New Jersey Institute of Technology
2002
Accurate detection is essential for brain metastasis (BM) management, but manual identification laborious. This study developed, validated, and evaluated a BM (BMD) system.Five hundred seventy-three consecutive patients (10 448 lesions) with newly diagnosed BMs 377 without were retrospectively enrolled to develop multi-scale cascaded convolutional network using 3D-enhanced T1-weighted MR images. BMD was validated prospective validation set comprising an internal (46 349 lesions; 44 BMs)...
Purpose To explore the clinical value of diffusion kurtosis imaging (DKI) and monoexponential diffusion‐weighted (DWI) for predicting early response to neoadjuvant chemotherapy (NAC) in patients with nasopharyngeal carcinoma (NPC). Materials Methods Fifty‐nine stage III‐IVb NPC underwent four 3.0T MR scans: prior to, on 4th, 21st, 42nd days after NAC initiation. The parameters DKI (corrected coefficient, D; excess K) DWI (apparent ADC) were obtained at first three scans. Statistical methods...
Abstract Background Artificial intelligence has been proposed for brain metastasis (BM) segmentation but it not fully clinically validated. The aim of this study was to develop and evaluate a system BM segmentation. Methods A deep-learning-based (BMSS) developed using contrast-enhanced MR images from 488 patients with 10338 metastases. randomized crossover, multi-reader then conducted the performance BMSS data prospectively collected 50 203 metastases at 5 centers. Five radiology residents...
Purpose To prospectively evaluate the dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) value for predicting early nasopharyngeal carcinoma (NPC) chemoradiotherapy (CRT) response. Materials and Methods Forty‐two patients with advanced NPC were recruited received three DCE‐MRI exams before treatment (Pre‐Tx), as well 3 days (Day 3‐Tx) 40 40‐Tx) after chemotherapy initiation (two neoadjuvant cycles, NAC). We used DCE‐Tool to measure primary tumor kinetic parameters ( K trans , ep...
Radiomics is a method to mine large numbers of quantitative imaging features and develop predictive models. It has shown exciting promise for improved cancer decision support from early detection personalized precision treatment, therefore offers desirable new direction pancreatic where the mortality remains high despite current care intense research. For radiomics, interobserver segmentation variability its effect on radiomic feature stability crucial consideration. While investigations...
Purpose To evaluate the relationship between quantitative parameters of dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) and clinical stage nasopharyngeal carcinoma (NPC). Materials Methods Fifty‐one newly diagnosed NPC patients received MRI examination on Philips Achieva 3.0 Tesla TX MR system. We used DCE‐Tool (Philips Healthcare, Best, The Netherlands) to investigate from primary tumors. Tumor/node/metastasis corresponding stages were determined based 2009 UICC 7th edition....
BACKGROUND Hepatocellular carcinoma (HCC) has become a growing health concern globally. Microvascular invasion and high tumor burden are key factors limiting the curative effect of selective internal radiation therapy (SIRT). CASE SUMMARY This case study reports 49-year-old woman who was diagnosed with China Liver Cancer Staging (CNLC) IIIa HCC > 15 cm diameter. Initially, due to insufficient future liver remnant vascular invasion, unresectable; however, radical hepatectomy performed...
ABSTRACT Purpose This study aimed to evaluate the value of diffusion kurtosis imaging (DKI) for prognostic long‐term PFS in nasopharyngeal carcinoma (NPC). Methods A cohort 295 NPC patients underwent pretreatment 3.0T MRI with DKI derive mean (MK), (MD), and apparent coefficient (ADC). Clinical parameters (Tumor stage, EBV‐DNA, neoadjuvant chemotherapy regimens) were recorded. Follow‐up extended December 2023. Statistical analyses (R software v4.3.0) included univariate/multivariate Cox...
To establish and validate deep learning (DL) models based on pre-treatment multiparametric magnetic resonance imaging (MRI) images of primary rectal cancer basic clinical data for the prediction synchronous liver metastases (SLM) in patients with Rectal (RC). In this retrospective study, 176 31 RC who underwent MRI from two centers were enrolled external validation cohorts, respectively. Clinical factors, including sex, tumor site, CEA level, CA199 level assessed. A feature (CF) model was...
Objectives This study aimed to evaluate the feasibility of pretreatment diffusion-weighted imaging in predicting response after induction chemotherapy (IC) nasopharyngeal carcinoma (NPC). Methods Fifty-four patients with stage III and IV NPC underwent MRI examination at baseline, 2 cycles chemotherapy, end chemoradiotherapy. Apparent diffusion coefficient (ADC) values were compared between effective ineffective subjects IC. Results Mean ADC groups was significantly (P < 0.05) higher than...
Background Since neoadjuvant chemotherapy (NAC) has proven a benefit for locally advanced nasopharyngeal carcinoma (NPC), early response evaluation after is important to implement individualized therapy NPC in the era of precision medicine. Purpose To determine combined and independent contribution between dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) diffusion kurtosis (DKI) monitoring NAC NPC. Study Type Prospective. Population Fifty‐three patients. Field Strength/Sequence...
To predict the sensitivity of nasopharyngeal carcinoma (NPC) to neoadjuvant chemotherapy (NACT) based on magnetic resonance (MR) radiomics and clinical nomograms prior NACT.From January 2014 July 2015, 284 consecutive patients with pathologically confirmed NPC underwent 3.0 T MR imaging (MRI) before initiating NACT. The patients' data were randomly assigned a training set (n = 200) or test 84) at ratio 7:3. included sex, tumor (T) stage, lymph node (N) American Joint Committee Cancer (AJCC)...
Rectal cancer (RC) is one of the most common cancers throughout world. Chemotherapy or neoadjuvant chemotherapy play an important role in treatment advanced RC. Whether to add topoisomerase inhibitor individualized a puzzling question for clinicians.To investigate whether pretreatment MR-based radiomics signature can assess expression II alpha (TOPO-IIα) RC.Retrospective.In all, 122 patients with Field Strength/Sequence: Pretreatment 3.0T; T2 WI turbo spin echo (TSE) sequence.A training...
Abstract Objective To investigate the correlations and feasibility of diffusion kurtosis imaging (DKI) parameters tumour histopathology after radiotherapy in human nasopharyngeal carcinoma (NPC) xenografts on nude mice. Materials Methods Seventy-two mice were used for construction CNE-1 (radio-insensitive) CNE-2 (radio-sensitive) NPC xenograft models, followed by fraction irradiation at different doses X-ray. The randomly divided into six groups each cell line models according to dose X-ray...
Abstract Background Errors have seldom been evaluated in computer-aided detection on brain metastases. This study aimed to analyze false negatives (FNs) and positives (FPs) generated by a metastasis system (BMDS) readers. Methods A deep learning-based BMDS was developed prospectively validated multicenter, multireader study. Ad hoc secondary analysis restricted the prospective participants (148 with 1,066 metastases 152 normal controls). Three trainees 3 experienced radiologists read MRI...
The aim of the study was to evaluate whether short axis and long on axial coronal magnetic resonance imaging planes would reflect tumor burden or alteration in size after induction chemotherapy nasopharyngeal carcinoma. Patients with pathologically confirmed carcinoma (n = 37) at least 1 positive cervical lymph node (axial ≥15 mm) were consecutively enrolled this prospective study. Lymph nodal measurements performed along its both diagnosis 2 cycles chemotherapy. In addition, volumes...