Olya Stringfield
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View article: Prediction of radiologic outcome-optimized dose plans and post-treatment magnetic resonance images: A proof-of-concept study in breast cancer brain metastases treated with stereotactic radiosurgery
Prediction of radiologic outcome-optimized dose plans and post-treatment magnetic resonance images: A proof-of-concept study in breast cancer brain metastases treated with stereotactic radiosurgery Open
View article: Presurgical Upgrade Prediction of DCIS to Invasive Ductal Carcinoma Using Time-dependent Deep Learning Models with DCE MRI
Presurgical Upgrade Prediction of DCIS to Invasive Ductal Carcinoma Using Time-dependent Deep Learning Models with DCE MRI Open
Purpose To determine whether time-dependent deep learning models can outperform single time point models in predicting preoperative upgrade of ductal carcinoma in situ (DCIS) to invasive malignancy at dynamic contrast-enhanced (DCE) breast…
View article: Prediction of Radiologic Outcome-Optimized Dose Plans and Post-Treatment Magnetic Resonance Images: A Proof-of-Concept Study in Breast Cancer Brain Metastases Treated with Stereotactic Radiosurgery
Prediction of Radiologic Outcome-Optimized Dose Plans and Post-Treatment Magnetic Resonance Images: A Proof-of-Concept Study in Breast Cancer Brain Metastases Treated with Stereotactic Radiosurgery Open
View article: Rules-based Volumetric Segmentation of Multiparametric MRI for Response Assessment in Recurrent High-Grade Glioma
Rules-based Volumetric Segmentation of Multiparametric MRI for Response Assessment in Recurrent High-Grade Glioma Open
We report domain knowledge-based rules for assigning voxels in brain multiparametric MRI (mpMRI) to distinct tissuetypes based on their appearance on Apparent Diffusion Coefficient of water (ADC) maps, T1-weighted unenhanced and contrast-e…
View article: Grading of lung adenocarcinomas with simultaneous segmentation by artificial intelligence (GLASS-AI)
Grading of lung adenocarcinomas with simultaneous segmentation by artificial intelligence (GLASS-AI) Open
View article: Image and label patches used to train GLASS-AI
Image and label patches used to train GLASS-AI Open
This archive contains the paired image and label patches used to train our machine learning pipeline, Grading of Lung Adenocarcinoma with Simultaneous Segmentation by Artificial Intelligence (GLASS-AI). Image patches were generated from wh…
View article: Image and label patches used to train GLASS-AI
Image and label patches used to train GLASS-AI Open
This archive contains the paired image and label patches used to train our machine learning pipeline, Grading of Lung Adenocarcinoma with Simultaneous Segmentation by Artificial Intelligence (GLASS-AI). Image patches were generated from wh…
View article: Supplement from Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
Supplement from Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer Open
Supplements with additional descriptions of datasets, feature selection, and results.
View article: Supplement from Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
Supplement from Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer Open
Supplements with additional descriptions of datasets, feature selection, and results.
View article: Data from Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
Data from Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer Open
Tumors are characterized by somatic mutations that drive biological processes ultimately reflected in tumor phenotype. With regard to radiographic phenotypes, generally unconnected through present understanding to the presence of specific …
View article: Data from Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
Data from Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer Open
Tumors are characterized by somatic mutations that drive biological processes ultimately reflected in tumor phenotype. With regard to radiographic phenotypes, generally unconnected through present understanding to the presence of specific …
View article: NIMG-01. PREDICTING POST-STEREOTACTIC RADIOTHERAPY MAGNETIC RESONANCE IMAGE OUTCOMES OF BREAST CANCER METASTASES TO THE BRAIN
NIMG-01. PREDICTING POST-STEREOTACTIC RADIOTHERAPY MAGNETIC RESONANCE IMAGE OUTCOMES OF BREAST CANCER METASTASES TO THE BRAIN Open
BACKGROUND Stereotactic radiosurgery (SRS) is a cornerstone in the management of Breast Cancer Metastases to the Brain (BCMB). While control rates are high following SRS, radiation necrosis is a rare but potentially devastating long-term t…
View article: Quantitative Changes in Intratumoral Habitats on MRI Correlate With Pathologic Response in Early-stage ER/PR+ HER2− Breast Cancer Treated With Preoperative Stereotactic Ablative Body Radiotherapy
Quantitative Changes in Intratumoral Habitats on MRI Correlate With Pathologic Response in Early-stage ER/PR+ HER2− Breast Cancer Treated With Preoperative Stereotactic Ablative Body Radiotherapy Open
Objective To quantitatively evaluate intratumoral habitats on dynamic contrast-enhanced (DCE) breast MRI to predict pathologic breast cancer response to stereotactic ablative body radiotherapy (SABR). Methods Participants underwent SABR tr…
View article: Coupling the immunomodulatory properties of the HDAC6 inhibitor ACY241 with Oxaliplatin promotes robust anti-tumor response in non-small cell lung cancer
Coupling the immunomodulatory properties of the HDAC6 inhibitor ACY241 with Oxaliplatin promotes robust anti-tumor response in non-small cell lung cancer Open
While HDAC inhibitors have shown promise in hematologic cancers, their efficacy remains limited in solid cancers. In the present study, we evaluated the immunomodulatory properties of the HDAC6 inhibitor, Citarinostat (ACY241) on lung tumo…
View article: Utilizing Radiation Dose Maps to Predict Local Failure Following Stereotactic Radiation of Brain Metastases
Utilizing Radiation Dose Maps to Predict Local Failure Following Stereotactic Radiation of Brain Metastases Open
View article: Identification of sarcomatoid differentiation in renal cell carcinoma by machine learning on multiparametric MRI
Identification of sarcomatoid differentiation in renal cell carcinoma by machine learning on multiparametric MRI Open
View article: Quantitative Measures of Background Parenchymal Enhancement Predict Breast Cancer Risk
Quantitative Measures of Background Parenchymal Enhancement Predict Breast Cancer Risk Open
BACKGROUND. Higher categories of background parenchymal enhancement (BPE) increase breast cancer risk. However, current clinical BPE categorization is subjective. OBJECTIVE. Using a semiautomated segmentation algorithm, we ca…
View article: Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening
Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening Open
The National Lung Screening Trial (NLST) demonstrated that screening with low-dose computed tomography (LDCT) is associated with a 20% reduction in lung cancer mortality. One potential limitation of LDCT screening is overdiagnosis of slow …
View article: Comparison of Radiologist-Assigned Categories and Quantitative Measures of Background Parenchymal Enhancement on Breast MRI
Comparison of Radiologist-Assigned Categories and Quantitative Measures of Background Parenchymal Enhancement on Breast MRI Open
Background parenchymal enhancement (BPE) on multi-parametric breast magnetic resonance imaging (mpMRI) reflects the volume and intensity of gadolinium uptake. We developed a semi-automated segmentation algorithm to extract and quantify mea…
View article: NIMG-74. MULTIPARAMETER MRI INVESTIGATION OF HIGH-GRADE GLIOMA RESPONSE TO CAR T CELL IMMUNOTHERAPY
NIMG-74. MULTIPARAMETER MRI INVESTIGATION OF HIGH-GRADE GLIOMA RESPONSE TO CAR T CELL IMMUNOTHERAPY Open
INTRODUCTION Immunotherapy with engineered CAR T cells is a promising new therapy for glioblastoma, for which predictive and prognostic biomarkers are needed to inform effective intervention. Recently, our group analyzed standard-of-care (…
View article: OA02.08 Peritumoral and Intratumoral Radiomic Features Identify Aggressive Screen-Detected Early-Stage Lung Cancers
OA02.08 Peritumoral and Intratumoral Radiomic Features Identify Aggressive Screen-Detected Early-Stage Lung Cancers Open
View article: Multiparameter MRI Predictors of Long-Term Survival in Glioblastoma Multiforme
Multiparameter MRI Predictors of Long-Term Survival in Glioblastoma Multiforme Open
Standard-of-care multiparameter magnetic resonance imaging (MRI) scans of the brain were used to objectively subdivide glioblastoma multiforme (GBM) tumors into regions that correspond to variations in blood flow, interstitial edema, and c…
View article: Intermittent hormonal therapy shows similar outcome than SOC in ER+ breast cancer preclinical model
Intermittent hormonal therapy shows similar outcome than SOC in ER+ breast cancer preclinical model Open
Clinical breast cancers in which at least 10% of cells express the estrogen receptor are labeled as “ER positive.” First line therapy for these patients is typically continuous administration of anti-estrogen drugs at maximum tolerated dos…
View article: Prediction of pathological nodal involvement by <scp>CT</scp>‐based Radiomic features of the primary tumor in patients with clinically node‐negative peripheral lung adenocarcinomas
Prediction of pathological nodal involvement by <span>CT</span>‐based Radiomic features of the primary tumor in patients with clinically node‐negative peripheral lung adenocarcinomas Open
Purpose The purpose of this study was to investigate the potential of computed tomography ( CT ) based radiomic features of primary tumors to predict pathological nodal involvement in clinically node‐negative (N0) peripheral lung adenocarc…
View article: Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients
Radial gradient and radial deviation radiomic features from pre-surgical CT scans are associated with survival among lung adenocarcinoma patients Open
The goal of this study was to extract features from radial deviation and radial gradient maps which were derived from thoracic CT scans of patients diagnosed with lung adenocarcinoma and assess whether these features are associated with ov…
View article: Radiomics-Based Characterization of Recurrence Risk in Primary CNS Lymphoma
Radiomics-Based Characterization of Recurrence Risk in Primary CNS Lymphoma Open
View article: Combining radiomics and mathematical modeling to elucidate mechanisms of resistance to immune checkpoint blockade in non-small cell lung cancer
Combining radiomics and mathematical modeling to elucidate mechanisms of resistance to immune checkpoint blockade in non-small cell lung cancer Open
Immune therapies have shown promise in a number of cancers, and clinical trials using the anti-PD-L1/PD-1 checkpoint inhibitor in lung cancer have been successful for a number of patients. However, some patients either do not respond to th…
View article: Defining the biological basis of radiomic phenotypes in lung cancer
Defining the biological basis of radiomic phenotypes in lung cancer Open
Medical imaging can visualize characteristics of human cancer noninvasively. Radiomics is an emerging field that translates these medical images into quantitative data to enable phenotypic profiling of tumors. While radiomics has been asso…
View article: Author response: Defining the biological basis of radiomic phenotypes in lung cancer
Author response: Defining the biological basis of radiomic phenotypes in lung cancer Open
Article Figures and data Abstract eLife digest Introduction Results Discussion Materials and methods Data availability References Decision letter Author response Article and author information Metrics Abstract Medical imaging can visualize…
View article: Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer
Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer Open
Tumors are characterized by somatic mutations that drive biological processes ultimately reflected in tumor phenotype. With regard to radiographic phenotypes, generally unconnected through present understanding to the presence of specific …