A5036912514- Global Cancer Incidence and Screening
- Digital Radiography and Breast Imaging
- AI in cancer detection
- Multiple Sclerosis Research Studies
- BRCA gene mutations in cancer
- Cancer Risks and Factors
- Colorectal Cancer Screening and Detection
- Radiomics and Machine Learning in Medical Imaging
- Economic and Financial Impacts of Cancer
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Gene expression and cancer classification
- Systemic Sclerosis and Related Diseases
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
- Cardiac Fibrosis and Remodeling
- Medical Image Segmentation Techniques
- Signaling Pathways in Disease
- Ultrasound and Hyperthermia Applications
- Medication Adherence and Compliance
- Ultrasound Imaging and Elastography
- Heart Failure Treatment and Management
- Systemic Lupus Erythematosus Research
- Neurogenesis and neuroplasticity mechanisms
- Mental Health Research Topics
University of Pennsylvania
2018-2025
Penn Center for AIDS Research
2020-2024
Yale University
2021-2024
National Institute of Mental Health
2024
National Institutes of Health
2024
Johns Hopkins University
2024
National Institute of Neurological Disorders and Stroke
2024
California University of Pennsylvania
2024
Abramson Cancer Center
2022
University of Rochester
2012-2013
ABSTRACT BACKGROUND AND PURPOSE Magnetic resonance imaging (MRI) is crucial for in vivo detection and characterization of white matter lesions (WMLs) multiple sclerosis. While WMLs have been studied over two decades using MRI, automated segmentation remains challenging. Although the majority statistical techniques are based on single modalities, recent advances used multimodal identifying WMLs. Complementary modalities emphasize different tissue properties, which help identify interrelated...
In multisite neuroimaging studies there is often unwanted technical variation across scanners and sites. These "scanner effects" can hinder detection of biological features interest, produce inconsistent results, lead to spurious associations. We propose mica (multisite image harmonization by cumulative distribution function alignment), a tool harmonize images taken on different identifying removing within-subject scanner effects. Our goals in the present study were (1) establish method that...
Multiple sclerosis (MS) is an immune-mediated neurological disorder, and up to 50% of patients experience depression. We investigated how white matter network disruption related depression in MS.
ABSTRACT Background and Purpose The central vein sign (CVS) is a diagnostic imaging biomarker for multiple sclerosis (MS). FLAIR* combined MRI contrast that provides high conspicuity CVS at 3 Tesla (3T), enabling its sensitive accurate detection in clinical settings. This study evaluated whether of 3T reliable across sites vendors gadolinium (Gd) increases conspicuity. Methods A cross‐sectional, multicenter recruited adults referred possible diagnosis MS 10 sites. was generated using...
<h3>BACKGROUND AND PURPOSE:</h3> The central vein sign is a promising MR imaging diagnostic biomarker for multiple sclerosis. Recent studies have demonstrated that patients with MS higher proportions of white matter lesions the compared those diseases mimic on imaging. However, clinical application as limited by interrater differences in adjudication well time burden required determination each lesion patient9s full scan. In this study, we present an automated technique detection lesions....
Digital health tools may improve quality of life (QoL) in patients with heart failure (HF) by promoting self-care, knowledge, and engagement.
Fluorine 18 (18F) fluorodeoxyglucose (FDG) PET/CT has shown promise for use in assessing treatment response patients with bone-only or bone-dominant (BD) metastatic breast cancer (mBC). In this single-institution, prospective single-arm study of 23 women (median age, 59 years [range, 38–81 years]) biopsy-proven estrogen receptor–positive BD mBC about to begin new endocrine therapy between October 3, 2013, and August 2018, the value early 4-week 18F-FDG predicting progression-free survival...
Cerebrospinal fluid (CSF) oligoclonal bands (OCB) are a diagnostic biomarker in multiple sclerosis (MS). The central vein sign (CVS) is an imaging for MS that may improve accuracy.
Purpose Two‐dimensional creatine CEST (2D‐CrCEST), with a slice thickness of 10‐20 mm and temporal resolution (τ Res ) about 30 seconds, has previously been shown to capture the creatine‐recovery kinetics in healthy controls patients abnormal creatine‐kinase following mild plantar flexion exercise. Since distribution disease burden may vary across muscle length for many musculoskeletal disorders, there is need increase coverage slice‐encoding direction. Here, we demonstrate feasibility...
Magnetic resonance imaging (MRI) is crucial for in vivo detection and characterization of white matter lesions (WML) multiple sclerosis (MS). The most widely established MRI outcome measure the volume hyperintense on T2-weighted images (T2L). Unfortunately, T2L are non-specific level tissue destruction show a weak relationship to clinical status. Interest that appear hypointense T1-weighted (T1L) ("black holes") has grown because T1L provide more specificity axonal loss closer link...
Increased secure firearm storage can reduce youth injury and mortality, a leading cause of death for children adolescents in the US. Despite availability evidence-based programs recommendations from American Academy Pediatrics, few pediatric clinicians report routinely implementing these programs.
The central vein sign (CVS) is a proposed diagnostic imaging biomarker for multiple sclerosis (MS). proportion of white matter lesions exhibiting the CVS (CVS+) higher in patients with MS compared to its radiological mimics. Evaluation CVS+ prior studies have been performed by manual rating, an approach that time-consuming and has variable inter-rater reliability. Accurate automated methods would facilitate efficient assessment CVS. objective this study was compare performance detection...
Abstract Background and Purpose Paramagnetic rim lesions (PRLs) are an MRI biomarker of chronic inflammation in people with multiple sclerosis (MS). PRLs may aid the diagnosis prognosis MS. However, manual identification is time‐consuming prone to poor interrater reliability. To address these challenges, Automated Rim Lesion (APRL) algorithm was developed automate PRL detection. The primary objective this study evaluate accuracy APRL for detecting a multicenter setting. Methods We applied...
Abstract Background and Purpose The North American Imaging in Multiple Sclerosis (NAIMS) multisite project identified interscanner reproducibility issues with T1‐based whole brain volume (WBV). Lateral ventricular (LVV) acquired on T2‐fluid‐attenuated inverse recovery (FLAIR) scans has been proposed as a robust proxy measure. Therefore, we sought to determine the relative magnitude of scanner‐induced T2‐FLAIR‐based LVV WBV measurement errors relation clinically meaningful changes. Methods...
Abstract Background: Surveillance mammography is recommended for all women with a history of breast cancer. Risk-guided surveillance incorporating advanced imaging modalities based on individual risk second cancer could improve detection. However, personalized may also amplify disparities. Methods: In simulated populations using inputs from the Breast Cancer Consortium (BCSC), we investigated race- and ethnicity-based Disparities were decomposed into those due to primary treatment...
Total brain white matter lesion (WML) volume is the most widely established magnetic resonance imaging (MRI) outcome measure in studies of multiple sclerosis (MS). To estimate WML volume, there are a number automatic segmentation methods available, yet manual delineation remains gold standard approach. Automatic approaches often yield probability map to which threshold applied create masks. Unfortunately, few systematically determine employed; many use manually selected threshold, thus...
Abstract The field of neuroimaging dedicated to mapping connections in the brain is increasingly being recognized as key for understanding neurodevelopment and pathology. Networks these are quantitatively represented using complex structures, including matrices, functions, graphs, which require specialized statistical techniques estimation inference about developmental disorder‐related changes. Unfortunately, classical testing procedures not well suited high‐dimensional problems. In context...
Multiple sclerosis (MS) is an immune-mediated neurological disorder that affects 2.4 million people world-wide, and up to 60% experience anxiety.
Screening for atrial fibrillation (AF) in the general population may help identify individuals at risk, enabling further assessment of risk factors and institution appropriate treatment. Algorithms deployed on wearable technologies such as smartwatches fitness bands be trained to screen arrhythmias. However, their performance needs assessed safety accuracy prior wide-scale implementation.
<p>Supplementary Figure 1. Simulation results for surveillance mammography false-negative rates overall and stratified by race ethnicity in simulated populations of women with a personal history breast cancer</p>
<p>Supplementary Methods 1: Simulation study design description</p>
<p>Supplementary Figure 2. Simulation results for surveillance mammography cancer detection rates overall and stratified by race ethnicity in simulated populations of women with a personal history breast cancer</p>