A5088263432- MRI in cancer diagnosis
- Prostate Cancer Diagnosis and Treatment
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Prostate Cancer Treatment and Research
- Urologic and reproductive health conditions
- Bone and Joint Diseases
- Glioma Diagnosis and Treatment
- Peripheral Artery Disease Management
- Advanced Radiotherapy Techniques
- Statistical Methods and Inference
- Metabolism and Genetic Disorders
- Renal and Vascular Pathologies
- Orthopaedic implants and arthroplasty
- Molecular Biology Techniques and Applications
- Systemic Sclerosis and Related Diseases
- Liver Disease Diagnosis and Treatment
- Endometrial and Cervical Cancer Treatments
- Cardiac Imaging and Diagnostics
- Global Cancer Incidence and Screening
- Thermoregulation and physiological responses
- Shoulder and Clavicle Injuries
- Parathyroid Disorders and Treatments
- Thermal Regulation in Medicine
University of California, San Diego
2020-2025
UC San Diego Health System
2023-2024
Saint John's Health Center
2024
University of California San Diego Medical Center
2023
University of Utah
2015-2020
Wasatch Molecular (United States)
2016
McLaren Regional Medical Center
2015
Background Multicompartmental modeling outperforms conventional diffusion‐weighted imaging (DWI) in the assessment of prostate cancer. Optimized multicompartmental models could further improve detection and characterization Purpose To optimize signal apply them to study diffusion normal cancerous tissue vivo. Study Type Retrospective. Subjects Forty‐six patients who underwent MRI examination for suspected cancer; 23 had cancer no detectable Field Strength/Sequence 3T multishell sequence....
Multiparametric magnetic resonance imaging (mpMRI) improves detection of clinically significant prostate cancer (csPCa), but the subjective Prostate Imaging Reporting and Data System (PI-RADS) system quantitative apparent diffusion coefficient (ADC) are inconsistent. Restriction spectrum (RSI) is an advanced diffusion-weighted MRI technique that yields a biomarker for csPCa called RSI restriction score (RSIrs).To evaluate RSIrs automated patient-level csPCa.We retrospectively studied all...
Diffusion magnetic resonance imaging (MRI) is integral to detection of prostate cancer (PCa), but conventional apparent diffusion coefficient (ADC) cannot capture the complexity tissues and tends yield noisy images that do not distinctly highlight cancer. A four-compartment restriction spectrum (RSI4 ) model was recently found optimally characterize pelvic signals, for slowest compartment, RSI4 -C1 , yielded greatest tumor conspicuity.To evaluate compartment a as quantitative voxel-level...
Positive predictive value of PI-RADS for clinically significant prostate cancer (csPCa, grade group [GG]≥2) varies widely between radiologists. The Restriction Spectrum Imaging restriction score (RSIrs) is a biophysics-based metric derived from diffusion MRI that could be an objectively interpretable biomarker csPCa. We aimed to evaluate performance RSIrs patient-level detection csPCa in large and heterogenous dataset, combine with clinical imaging parameters detection. At 7 centers,...
Abstract Purpose: Diffusion-weighted MRI (DW-MRI) is a contrast-free modality that has demonstrated ability to discriminate between predefined benign and malignant breast lesions. However, how well DW-MRI discriminates cancer from all other tissue voxels in clinical setting unknown. Here we explore the voxelwise distinguish healthy using signal contributions newly developed three-component multi-b-value model. Experimental Design: Patients with pathology-proven two datasets (n = 81 n 25)...
Abstract Purpose The focal radiotherapy (RT) boost technique was shown in the FLAME trial to improve prostate cancer outcomes without increasing toxicity. This relies on accurate delineation of tumors MRI. ReIGNITE RT Boost study evaluated radiation oncologists’ accuracy when asked delineate MRI and demonstrated high variability tumor contours. We sought evaluate impact contour inaccuracy predicted clinical outcomes. hypothesized that inaccuracies would yield meaningfully worse Materials...
Abstract Background and Objective Positive predictive value of PI-RADS for clinically significant prostate cancer (csPCa, grade group [GG]≥2) varies widely between institutions radiologists. The Restriction Spectrum Imaging restriction score (RSIrs) is a metric derived from diffusion MRI that could be an objectively interpretable biomarker csPCa. Methods In patients scanned suspected or known csPCa at 7 centers, we calculated patient-level probability based on maximum RSIrs in the prostate,...
Abstract Background Multiparametric MRI (mpMRI) is strongly recommended by current clinical guidelines for improved detection of clinically significant prostate cancer (csPCa). However, major limitations mpMRI are the need intravenous (IV) contrast and dependence on reader expertise. Efforts to address these issues include use biparametric (bpMRI) advanced, quantitative techniques. One such advanced technique Restriction Spectrum Imaging restriction score (RSIrs), an imaging biomarker that...
Abstract Purpose The purpose of the present study is to develop a calibration method account for differences in echo times (TE) and facilitate use restriction spectrum imaging score (RSIrs) as quantitative biomarker detection clinically significant prostate cancer (csPCa). Methods This included 197 consecutive patients who underwent MRI biopsy examination; 97 were diagnosed with csPCa (grade group ≥ 2). RSI data acquired three during same session: twice at minimum TE ~75 ms once = 90 (TEmin...
Peripheral artery disease (PAD) in the lower extremities often leads to intermittent claudication. In present study, we proposed a low-dose DCE MRI protocol for quantifying calf muscle perfusion stimulated with plantar flexion and multiple new metrics interpreting maps, including ratio of gastrocnemius over soleus (G/S; assessing vascular redistribution between two muscles) normalized by whole body (for muscle’s active hyperemia). Twenty-eight human subjects participated this Institutional...
Purpose Restriction spectrum imaging (RSI) decomposes the diffusion‐weighted MRI signal into separate components of known apparent diffusion coefficients (ADCs). The number and optimal ADCs for RSI are organ‐specific determined empirically. purpose this work was to determine model breast tissues. Methods described using a linear combination multiple exponential components. A set ADC values estimated fit voxels in cancer control ROIs. Later, contributions each component were these fixed...
Exercise-induced hyperemia in calf muscles was recently shown to be quantifiable with high-resolution magnetic resonance imaging (MRI). However, processing of the MRI data obtain muscle-perfusion maps is time-consuming. This study proposes substantially accelerate mapping muscle perfusion using a deep-learning method called artificial neural network (NN). Forty-eight scans were acquired from 21 healthy subjects and patients peripheral artery disease (PAD). For optimal training NN, different...
Abstract Diffusion-weighted magnetic resonance imaging (DWI) of the musculoskeletal system has various applications, including visualization bone tumors. However, DWI acquired with echo-planar is susceptible to distortions due static field inhomogeneities. This study aimed estimate spatial displacements and examine whether distortion corrected images more accurately reflect underlying anatomy. Whole-body MRI data from 127 prostate cancer patients were analyzed. The reverse polarity gradient...
Purpose To develop a multicompartmental signal model for whole-body diffusion-weighted imaging (DWI) and apply it to study the diffusion properties of normal tissue metastatic prostate cancer bone lesions in vivo. Materials Methods This prospective (ClinicalTrials.gov: NCT03440554) included 139 men with (mean age, 70 years ± 9 [SD]). Multicompartmental models two four compartments were fit DWI data from scans determine optimal compartmental coefficients. Bayesian information criterion (BIC)...
Abstract Background Conventional distortion correction techniques include the Reversed Polarity Gradient (RPG) method and FSL-topup, which estimate tissue displacement from EPI images of opposite phase-encoding polarity, scale image intensity by Jacobian estimated displacement. Purpose To demonstrate that (JIC) can cause misleading improvement distortion. We propose an alternative approach (multi- b RPG; mRPG) eliminates JIC factor normalizing opposite-polarity across multiple -values. Study...
Abstract Background The Restriction Spectrum Imaging restriction score (RSIrs) has demonstrated higher diagnostic accuracy for clinically significant prostate cancer (csPCa) than conventional DWI. Both diffusion and T 2 properties of tissue inform the RSI signal, studies have shown that each may be valuable csPCa discrimination. Purpose To determine whether varies across compartments in presence csPCa, to evaluate consideration compartmental (c ) improves detection over RSIrs alone. Study...
Abstract Background High b -value diffusion-weighted images (DWI) are used for detection of clinically significant prostate cancer (csPCa). This study qualitatively and quantitatively compares synthesized DWI (sDWI) to acquired (aDWI) csPCa. Methods One hundred fifty-one consecutive patients who underwent MRI biopsy were included in the study. Axial with = 0, 500, 1000, 2000 s/mm 2 using a 3T clinical scanner 32-channel phased-array body coil acquired. We retrospectively via extrapolation...
. Purpose To develop and validate a deep learning (DL) method to detect segment enhancing nonenhancing cellular tumor on pre- posttreatment MRI scans of patients with glioblastoma predict overall survival (OS) progression-free (PFS). Materials Methods This retrospective study included 1397 MRIs in 1297 glioblastoma, including an internal cohort 243 (January 2010-June 2022) for model training cross-validation four external test cohorts. Cellular maps were segmented by two radiologists based...
Introduction Prostate multiparametric magnetic resonance imaging (mpMRI) has greatly improved the detection of clinically significant prostate cancer (csPCa). However, limited number expert sub-specialist radiologists capable interpreting conventional mpMRI is a bottleneck for universal access to this healthcare advance. A reliable and reproducible quantitative biomarker could facilitate implementation accurate MRI at clinical sites with experience, thus ensuring more equitable patient care....
Background Breast cancer screening with dynamic contrast‐enhanced MRI (DCE‐MRI) is recommended for high‐risk women but has limitations, including variable specificity and difficulty in distinguishing cancerous (CL) benign lesions (HRBL) from average‐risk (ARBL). Complementary non‐invasive imaging techniques would be useful to improve specificity. Purpose To evaluate the performance of a previously‐developed breast‐specific diffusion‐weighted (DW‐MRI) model (BS‐RSI3C) discrimination between...
Abstract The Restriction Spectrum Imaging restriction score (RSIrs) has been shown to improve the accuracy for diagnosis of clinically significant prostate cancer (csPCa) compared standard DWI. Both diffusion and T 2 properties tissue contribute signal measured in DWI, studies have demonstrated that each may be valuable distinguishing csPCa from benign tissue. purpose this retrospective study was (1) determine whether varies across RSI compartments presence csPCa, (2) evaluate detection with...