A5004964677- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Radiopharmaceutical Chemistry and Applications
- Prostate Cancer Treatment and Research
- Medical Imaging Techniques and Applications
- Breast Cancer Treatment Studies
- Breast Lesions and Carcinomas
- AI in cancer detection
- Medical Imaging and Pathology Studies
- Advanced biosensing and bioanalysis techniques
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Digital Radiography and Breast Imaging
- Breast Implant and Reconstruction
- Machine Learning in Materials Science
- Peptidase Inhibition and Analysis
- Colorectal Cancer Screening and Detection
- Ferroptosis and cancer prognosis
- Knee injuries and reconstruction techniques
- Salivary Gland Tumors Diagnosis and Treatment
- Medical Imaging and Analysis
- Ovarian cancer diagnosis and treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- Global Cancer Incidence and Screening
- BRCA gene mutations in cancer
Memorial Sloan Kettering Cancer Center
2015-2024
Kettering University
2022
New York University Langone Orthopedic Hospital
2015
Leeds General Infirmary
1993
Standard imaging for assessing osseous metastases in advanced prostate cancer remains focused on altered bone metabolism and is inadequate diagnostic, prognostic, or predictive purposes. We performed a first-in-human phase I/II study of (89)Zr-DFO-huJ591 ((89)Zr-J591) PET/CT immunoscintigraphy to assess performance characteristics detecting compared with conventional modalities (CIM) pathology.Fifty patients progressive metastatic castration-resistant cancers were injected 5 mCi (89)Zr-J591....
We conducted a phase I dose-escalation study with 89Zr-desferrioxamine-IAB2M (89Zr-IAB2M), an anti-prostate-specific membrane antigen minibody, in patients metastatic prostate cancer.Patients received 185 MBq (5 mCi) of 89Zr-IAB2M and Df-IAB2M at total mass doses 10 (n = 6), 20 50 mg 6). Whole-body serum clearance, normal-organ lesion uptake, radiation absorbed dose were estimated, the effect escalation was analyzed.Eighteen injected scanned without side effects. clearance monoexponential,...
Abstract Background To evaluate the diagnostic performance of radiomic signatures extracted from contrast-enhanced magnetic resonance imaging (CE-MRI) for assessment breast cancer receptor status and molecular subtypes. Methods One hundred forty-three patients with biopsy-proven who underwent CE-MRI at 3 T were included in this IRB-approved HIPAA-compliant retrospective study. The training dataset comprised 91 (luminal A, n = 49; luminal B, 8; HER2-enriched, 11; triple negative, 23), while...
For breast cancer patients undergoing neoadjuvant chemotherapy (NAC), pathologic complete response (pCR; no invasive or in situ) cannot be assessed non-invasively so all undergo surgery. The aim of our study was to develop and validate a radiomics classifier that classifies pCR post-NAC on MRI prior surgery.This retrospective included women treated with NAC for from 2014 2016 (1) pre- (2) surgical pathology report assessing response. Automated analysis involved image segmentation, feature...
We evaluated the performance of radiomics and artificial intelligence (AI) from multiparametric magnetic resonance imaging (MRI) for assessment breast cancer molecular subtypes. Ninety-one patients who underwent 3T dynamic contrast-enhanced (DCE) MRI diffusion-weighted (DWI) with apparent diffusion coefficient (ADC) mapping were included retrospectively. Radiomic features extracted manually drawn regions interest (n = 704 per lesion) on initial DCE-MRI ADC maps. The ten best subtype...
To compare annotation segmentation approaches and to assess the value of radiomics analysis applied diffusion-weighted imaging (DWI) for evaluation breast cancer receptor status molecular subtyping. In this IRB-approved HIPAA-compliant retrospective study, 91 patients with treatment-naïve malignancies proven by image-guided biopsy, (luminal A, n = 49; luminal B, 8; human epidermal growth factor 2 [HER2]-enriched, 11; triple negative [TN], 23) underwent multiparametric magnetic resonance...
Abstract Background Ultrafast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-derived kinetic parameters have demonstrated at least equivalent accuracy to standard DCE-MRI in differentiating malignant from benign breast lesions. However, it is unclear if they any efficacy as prognostic markers. The aim of this study was investigate the relationship between ultrafast DCE-MRI-derived and cancer characteristics. Methods Consecutive MRI examinations February 2017 January 2018 were...
Abstract Background Available data proving the value of DWI for breast cancer diagnosis is mainly enhancing masses; may be less sensitive and specific in non-mass enhancement (NME) lesions. The objective this study was to assess diagnostic accuracy using different ROI measurement approaches ADC metrics lesions presenting as NME on dynamic contrast-enhanced (DCE) MRI. Methods In retrospective study, 95 patients who underwent multiparametric MRI with DCE from September 2007 July 2013 were...
Abstract Objectives To assess DWI for tumor visibility and breast cancer detection by the addition of different synthetic b-values. Methods Eighty-four consecutive women who underwent a breast-multiparametric-MRI (mpMRI) with enhancing lesions on DCE-MRI (BI-RADS 2–5) were included in this IRB-approved retrospective study from September 2018 to March 2019. Three readers evaluated DW acquired b-800 b-1000, b-1200, b-1500, b-1800 s/mm 2 images lesion preferred b-value based conspicuity. Image...
Small breast lesions are difficult to visually categorize due the inherent lack of morphological and kinetic detail.To assess efficacy radiomics analysis in discriminating small benign malignant utilizing model free parameter maps.Retrospective, single center.In all, 149 patients, with a total 165 scored as BI-RADS 4 or 5 on MRI, an enhancing volume <0.52 cm3 .Higher spatial resolution T1 -weighted dynamic contrast-enhanced imaging temporal ~90 seconds performed at 3.0T.Parameter maps...
Abstract Objectives To investigate whether radiomics features extracted from MRI of BRCA-positive patients with sub-centimeter breast masses can be coupled machine learning to differentiate benign malignant lesions using model-free parameter maps. Methods In this retrospective study, who had an November 2013 February 2019 that led a biopsy (BI-RADS 4) or imaging follow-up 3) for were included. Two radiologists assessed all independently and in consensus according BI-RADS. Radiomics...
To develop a deep network architecture that would achieve fully automated radiologist-level segmentation of cancers at breast MRI.In this retrospective study, 38 229 examinations (composed 64 063 individual scans from 14 475 patients) were performed in female patients (age range, 12-94 years; mean age, 52 years ± 10 [standard deviation]) who presented between 2002 and 2014 single clinical site. A total 2555 selected had been segmented on two-dimensional (2D) images by radiologists, as well...
Background parenchymal enhancement (BPE) is assessed on breast MRI reports as mandated by the Breast Imaging Reporting and Data System (BI‐RADS) but prone to inter intrareader variation. Semiautomated fully automated BPE assessment tools have been developed none has surpassed radiologist designations. Purpose To develop a deep learning model for classification compare its performance with current standard‐of‐care radiology report Study Type Retrospective. Population Consecutive high‐risk...
Although the posteromedial fragment in tibial plateau fractures is often considered unstable, biomechanical evidence supporting this view lacking. We aimed to evaluate stability of a cadaver model. Our hypothesis was that under expected small axial force during rehabilitation and combined effects with shear force, internal rotation torque, varus moment, most common morphology could maintain early flexion.Axial compression alone or posterior shear, moment applied femurs 5 fresh cadaveric...
<h3>Importance</h3> After neoadjuvant chemotherapy (NAC), pathologic complete response (pCR) is an optimal outcome and a surrogate end point for improved disease-free overall survival. To date, surgical resection remains the only reliable method diagnosing pCR. <h3>Objective</h3> evaluate accuracy of magnetic resonance imaging (MRI)–guided biopsy pCR after NAC compared with reference-standard resection. <h3>Design, Setting, Participants</h3> Single-arm, phase 1, nonrandomized controlled...
To develop and evaluate an AI algorithm that detects breast cancer in MRI scans up to one year before radiologists typically identify it, potentially enhancing early detection high-risk women.
The purpose of this retrospective study was to assess whether radiomics analysis coupled with machine learning (ML) based on standard-of-care dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict PD-L1 expression status in patients triple negative breast cancer, and compare the performance approach radiologist review. Patients biopsy-proven cancer who underwent pre-treatment MRI whose available were included. Following 3D tumor segmentation extraction radiomic features,...
The aim of the study is to develop and evaluate performance a deep learning (DL) model triage breast magnetic resonance imaging (MRI) findings in high-risk patients without missing any cancers.
Abstract Purpose To investigate whether radiomics features extracted from magnetic resonance imaging (MRI) of patients with biopsy-proven atypical ductal hyperplasia (ADH) coupled machine learning can differentiate high-risk lesions that will upgrade to malignancy at surgery those not, and determine if qualitatively semi-quantitatively assessed features, clinical factors, image-guided biopsy technical factors are associated rate. Methods This retrospective study included 127 139 breast...
Breast MRI background parenchymal enhancement (BPE) can potentially serve as a prognostic marker, by possible correlation with molecular subtype. Oncotype Dx, gene assay, is and predictive surrogate for tumor aggressiveness treatment response. The purpose of this study was to investigate the association between contralateral non-tumor breast magnetic resonance imaging (MRI) oncotype score. In retrospective study, patients ER+ HER2- early stage invasive ductal carcinoma who underwent...
Abstract Background To assess the incidence of benign and malignant peri‐implant fluid collections and/or masses on magnetic resonance imaging (MRI) in women with silicone implants who are being screened for silent implant rupture. Methods The institutional review board approved this HIPAA‐compliant retrospective study waived informed consent. Women underwent oncoplastic cosmetic surgery postoperative implant‐protocol MRI from 2000 to 2014 were included. Peri‐implant measured volumetrically....
To develop a multiparametric [18F]FDG positron emission tomography/magnetic resonance imaging (PET/MRI) model for breast cancer diagnosis incorporating biomarkers of tumors and contralateral healthy tissue. In this prospective study retrospective data analysis, 141 patients (mean 57 years) with an abnormality detected on mammography and/or ultrasound (BI-RADS 4/5) underwent combined PET/MRI PET/computed tomography MRI the at 3 T. Images were evaluated following recorded: tumor, BI-RADS...
Objective . To investigate if histogram analysis and visually assessed heterogeneity of diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping can predict molecular subtypes invasive breast cancers. Materials Methods In this retrospective study, 91 patients carcinoma who underwent preoperative magnetic resonance (MRI) DWI at our institution were included. Two radiologists delineated a 2-D region interest (ROI) on ADC maps in consensus. Tumors also independently...