A5012134974- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Digital Radiography and Breast Imaging
- AI in cancer detection
- Breast Cancer Treatment Studies
- Breast Lesions and Carcinomas
- Advanced Neuroimaging Techniques and Applications
- Optical Imaging and Spectroscopy Techniques
- Lanthanide and Transition Metal Complexes
- Photoacoustic and Ultrasonic Imaging
- Infrared Thermography in Medicine
- Dementia and Cognitive Impairment Research
- Medical Imaging and Analysis
- Functional Brain Connectivity Studies
- HER2/EGFR in Cancer Research
- Medical Image Segmentation Techniques
- Intracerebral and Subarachnoid Hemorrhage Research
- Brain Tumor Detection and Classification
- Sarcoma Diagnosis and Treatment
- Bone Tumor Diagnosis and Treatments
- Ultrasound and Hyperthermia Applications
- Neurological Disease Mechanisms and Treatments
- Advanced Radiotherapy Techniques
Université de Sherbrooke
2025
Kaohsiung Medical University
2021-2024
University of California, Irvine
2015-2024
Affiliated Hospital of Nantong University
2024
Nantong University
2024
Sunnybrook Health Science Centre
2024
University of Toronto
2024
Sinotech Genomics (China)
2023
Northwestern Memorial Hospital
2023
Nanjing Medical University
2013-2022
Aggregates of hyperphosphorylated tau (PHF-tau), such as neurofibrillary tangles, are linked to the degree cognitive impairment in Alzheimer's disease. We have recently reported early clinical results a novel PHF-tau targeting PET imaging agent, [F18]-T807. Since then, we investigated second [F18]-T808, with different pharmacokinetic characteristics, which may be favorable for disease and other tauopathies. Here, describe first human brain images [F18]-T808.
Aggregates of hyperphosphorylated tau (PHF-tau), such as neurofibrillary tangles, are linked to the degree cognitive impairment in Alzheimer's disease. We have developed a novel PHF-tau targeting positron emission tomography imaging agent, [F-18]-
<h3>BACKGROUND AND PURPOSE:</h3> The World Health Organization has recently placed new emphasis on the integration of genetic information for gliomas. While tissue sampling remains criterion standard, noninvasive imaging techniques may provide complimentary insight into clinically relevant mutations. Our aim was to train a convolutional neural network independently predict underlying molecular mutation status in gliomas with high accuracy and identify most predictive features each mutation....
<h3>BACKGROUND AND PURPOSE:</h3> Convolutional neural networks are a powerful technology for image recognition. This study evaluates convolutional network optimized the detection and quantification of intraparenchymal, epidural/subdural, subarachnoid hemorrhages on noncontrast CT. <h3>MATERIALS METHODS:</h3> was performed in 2 phases. First, training cohort all NCCTs acquired at single institution between January 1, 2017, July 31, used to develop cross-validate custom hybrid 3D/2D mask...
Computer-aided methods have been widely applied to diagnose lesions detected on breast MRI, but fully-automatic diagnosis using deep learning is rarely reported.To evaluate the diagnostic accuracy of mass region interest (ROI)-based, radiomics and deep-learning methods, by taking peritumor tissues into consideration.Retrospective.In all, 133 patients with histologically confirmed 91 malignant 62 benign for training (74 48 26 testing).3T, volume imaging assessment (VIBRANT) dynamic...
Abstract BACKGROUND. This study investigated the role of magnetic resonance imaging (MRI) in evaluation pathologically complete response and residual tumors patients who were receiving neoadjuvant chemotherapy (NAC) for both positive negative HER‐2 breast cancer. METHODS. Fifty‐one individuals, comprised 25 26 patients, included study. Serial MRI studies acquired before, during, after NAC. On basis final MRI, was determined to be a clinically ([CCR], no enhancement), probable CCR (residual...
Breast density has been established as an independent risk factor associated with the development of breast cancer. It is known that increase mammographic increased cancer risk. Since a mammogram projection image, different body position, level compression, and x‐ray intensity may lead to large variability in measurement. MRI provides strong soft tissue contrast between fibroglandular fatty tissues, three‐dimensional coverage entire breast, thus making it suitable for analysis. To develop...
To investigate methods developed for the characterisation of morphology and enhancement kinetic features both mass non-mass lesions, to determine their diagnostic performance differentiate between malignant benign lesions that present as versus types.Quantitative analysis morphological parameters breast were used among four groups lesions: 88 (43 mass, 45 non-mass) 28 (19 9 non-mass). The kinetics was measured analysed obtain transfer constant (K(trans)) rate (k(ep)). For each eight...
To characterize imaging features of pure DCIS on dynamic contrast-enhanced MR (DCE-MRI), 31 consecutive patients (37-81 years old, mean 56), including 2 Grade I, 16 II, and 13 III, were studied. images reviewed retrospectively the morphological appearances kinetic breast lesions categorized according to ACR BI-RADS MRI lexicon. DCE-MRI was a sensitive modality in detecting DCIS. showed enhancing 29/31 (94%) cases. Pure appeared as mass type or non-mass with nearly equal frequency. The 29...
Purpose To improve image quality and computed tomography (CT) number accuracy of daily cone beam CT (CBCT) through a deep learning methodology with generative adversarial network. Methods One hundred fifty paired pelvic CBCT scans were used for model training validation. An unsupervised method, 2.5D pixel‐to‐pixel network (GAN) feature mapping was proposed. A total 12 000 slice pairs training, while ten‐fold cross validation applied to verify robustness. Paired CT–CBCT from an additional 15...
To investigate the association between parameters obtained from dynamic contrast enhanced MRI (DCE-MRI) of breast cancer using different analysis approaches, as well their correlation with angiogenesis biomarkers (vascular endothelial growth factor and vessel density).DCE-MRI results were 105 patients (108 lesions). Three methods applied: 1) whole tumor analysis, 2) regional hot-spot 3) intratumor pixel-by-pixel analysis. Early enhancement intensities fitted pharmacokinetic studied. Paraffin...
Application of magnetic resonance imaging (MRI) techniques reveals that human brain aging varies across cortical regions. One area particularly sensitive to normal is the frontal lobes. In vitro neuropathological studies and behavioral measures in a canine model previously suggested lobes dog might be aging. present study, MRI scans were acquired compare age-related changes lobe volume with executive functions andβ-amyloid pathology cortex beagle dogs aged 3 months 15 years. Decreases total...
Abstract Dynamic contrast‐enhanced MR imaging was used to measure the kinetics of enhancement in three different animal tumor models (Walker 256, R3230 AC, MCF7) using Gd complexes (Gd‐DTPA, Gd‐DTPA‐24‐cascade‐poly‐mer 30 kD, and polylysine‐Gd‐DTPA 50 kD). The varied growth rate, with most rapid demonstrated by Walker 256 cells slowest occurring MCF7 cells. For each tumor, analyzed a pharmacokinetic model estimate vascular volume tumor. rate entry contrast agent into interstitial space...
Abstract We propose a compartmental model to explain the signal enhancement curves following bolus injection of Gd‐DTPA. The incorporates vascular volume fraction contribution, and possibility having different transport constants between plasma extravascular components. A Walker 256 carcinoma grown in rat muscle was used demonstrate capability this model. Several types tissues were included measurements: normal, quickly enhanced, slowly necrotic tissues. Blood blood‐tissue permeability...