Kamala Clark-Swanson
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View article: Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol
Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol Open
Brain cancers pose a novel set of difficulties due to the limited accessibility of human brain tumor tissue. For this reason, clinical decision-making relies heavily on MR imaging interpretation, yet the mapping between MRI features and un…
View article: NIMG-85. EVALUATING THE PERFORMANCE OF A DEEP LEARNING GLIOMA SEGMENTATION MODEL USING COMBINED PRE- AND POST-TREATMENT MRI TRAINING DATA
NIMG-85. EVALUATING THE PERFORMANCE OF A DEEP LEARNING GLIOMA SEGMENTATION MODEL USING COMBINED PRE- AND POST-TREATMENT MRI TRAINING DATA Open
Identification of key phenotypic regions such as necrosis, contrast enhancement, and edema on magnetic resonance imaging (MRI) is important for understanding disease evolution and treatment response in patients with glioma. Manual delineat…
View article: Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures
Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures Open
Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis of spatially matched molecula…
View article: Towards Longitudinal Glioma Segmentation: Evaluating combined pre- and post-treatment MRI training data for automated tumor segmentation using nnU-Net
Towards Longitudinal Glioma Segmentation: Evaluating combined pre- and post-treatment MRI training data for automated tumor segmentation using nnU-Net Open
Identification of key phenotypic regions such as necrosis, contrast enhancement, and edema on magnetic resonance imaging (MRI) is important for understanding disease evolution and treatment response in patients with glioma. Manual delineat…
View article: Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol
Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol Open
Brain cancers pose a novel set of difficulties due to the limited accessibility of human brain tumor tissue. For this reason, clinical decision-making relies heavily on MR imaging interpretation, yet the mapping between MRI features and un…
View article: NIMG-59. RADIOMICS-PREDICTED T CELL DYNAMICS STRATIFY SURVIVAL AFTER DENDRITIC CELL VACCINE THERAPY FOR PRIMARY GLIOBLASTOMA
NIMG-59. RADIOMICS-PREDICTED T CELL DYNAMICS STRATIFY SURVIVAL AFTER DENDRITIC CELL VACCINE THERAPY FOR PRIMARY GLIOBLASTOMA Open
INTRODUCTION Dendritic cells (DCs) are potent antigen presenting cells that can be exploited to initiate an adaptive anti-tumoral immune response. DC vaccine clinical trials for primary glioblastoma (GBM) have reported prolonged progressio…
View article: Sex Differences in MRI-Based Metrics of Glioma Invasion and Brain Mechanics
Sex Differences in MRI-Based Metrics of Glioma Invasion and Brain Mechanics Open
Gliomas are brain tumors characterized by highly variable growth patterns. Magnetic resonance imaging (MRI) is the cornerstone of glioma diagnosis and management planning. However, glioma features on MRI do not directly correlate with tumo…
View article: Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data
Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data Open
Purpose: Deep learning (DL) algorithms have shown promising results for brain tumor segmentation in MRI. However, validation is required prior to routine clinical use. We report the first randomized and blinded comparison of DL and trained…
View article: Uncertainty Quantification in Radiogenomics: EGFR Amplification in Glioblastoma
Uncertainty Quantification in Radiogenomics: EGFR Amplification in Glioblastoma Open
BACKGROUND Radiogenomics uses machine-learning (ML) to directly connect the morphologic and physiological appearance of tumors on clinical imaging with underlying genomic features. Despite extensive growth in the area of radiogenomics acro…
View article: Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients
Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients Open
Background Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods Combining multi…
View article: Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients
Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients Open
Background : Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods : Combining m…
View article: Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients
Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients Open
Background : Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods : Combining m…
View article: Days gained response discriminates treatment response in patients with recurrent glioblastoma receiving bevacizumab-based therapies
Days gained response discriminates treatment response in patients with recurrent glioblastoma receiving bevacizumab-based therapies Open
Background Accurate assessments of patient response to therapy are a critical component of personalized medicine. In glioblastoma (GBM), the most aggressive form of brain cancer, tumor growth dynamics are heterogenous across patients, comp…
View article: Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients
Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients Open
Background : Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods : Combining m…
View article: TMOD-14. RADIOGRAPHIC, STIMULATED RAMAN HISTOLOGIC, AND MULTIPLEXED RNA-SEQUENCING ANALYSIS OF POST-TREATMENT RECURRENT HIGH-GRADE GLIOMAS
TMOD-14. RADIOGRAPHIC, STIMULATED RAMAN HISTOLOGIC, AND MULTIPLEXED RNA-SEQUENCING ANALYSIS OF POST-TREATMENT RECURRENT HIGH-GRADE GLIOMAS Open
High-grade gliomas (HGGs) nearly always recur after standard initial treatment, and the resulting mixture of recurrent tumor and treatment-induced reactive changes presents major diagnostic challenges. Anatomical imaging, such as MRI, cann…
View article: NIMG-61. USING MACHINE LEARNING TO BUILD RADIOMICS MODELS THAT DISTINGUISH REGIONS OF GLIOBLASTOMA RECURRENCE VS TUMOR PROGRESSION ON MRI
NIMG-61. USING MACHINE LEARNING TO BUILD RADIOMICS MODELS THAT DISTINGUISH REGIONS OF GLIOBLASTOMA RECURRENCE VS TUMOR PROGRESSION ON MRI Open
Recurrent glioblastoma is challenging to distinguish from so called “treatment effect” on routine clinical imaging. Further, within tumor heterogeneity reveals that some regions can be histologically dominated by tumor progression whilst o…
View article: NIMG-52. UNCERTAINTY QUANTIFICATION IN RADIOMICS
NIMG-52. UNCERTAINTY QUANTIFICATION IN RADIOMICS Open
INTRODUCTION The quantification of intratumoral heterogeneity – through radiomics-based approaches - can help resolve the regionally distinct genetic drug targets that may co-exist within a single Glioblastoma (GBM) tumor. While this offer…
View article: NIMG-26. EVALUATING THE DAYS GAINED RESPONSE METRIC IN CLINICAL TRIALS USING BEVACIZUMAB PLUS ADDITIONAL AGENTS FOR RECURRENT GLIOBLASTOMA
NIMG-26. EVALUATING THE DAYS GAINED RESPONSE METRIC IN CLINICAL TRIALS USING BEVACIZUMAB PLUS ADDITIONAL AGENTS FOR RECURRENT GLIOBLASTOMA Open
Determining effective therapies for patients with recurrent glioblastoma remains difficult especially in small early phase clinical trials. Currently utilized estimators of treatment response rely on two-dimensional measurements of tumor p…
View article: NIMG-30. REPRODUCIBLE RADIOMIC MAPPING OF TUMOR CELL DENSITY BY MACHINE LEARNING AND DOMAIN ADAPTATION
NIMG-30. REPRODUCIBLE RADIOMIC MAPPING OF TUMOR CELL DENSITY BY MACHINE LEARNING AND DOMAIN ADAPTATION Open
BACKGROUND An important challenge in radiomics research is reproducibility. Images are collected on different image scanners and protocols, which introduces significant variability even for the same type of image across institutions. In th…
View article: Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients
Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients Open
Background : Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods : Combining m…
View article: Days Gained Response Discriminates Treatment Response in Patients with Recurrent Glioblastoma Receiving Bevacizumab-based Therapies
Days Gained Response Discriminates Treatment Response in Patients with Recurrent Glioblastoma Receiving Bevacizumab-based Therapies Open
Purpose Accurate assessments of patient response to therapy are a critical component of personalized medicine. In glioblastoma multiforme (GBM), the most aggressive form of brain cancer, tumor growth dynamics are heterogenous across patien…
View article: Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients
Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients Open
Background: Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods: Combining mul…
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: NIMG-23. DEEP LEARNING FOR ACCURATE, RAPID, FULLY AUTOMATIC MEASUREMENT OF BRAIN TUMOR-ASSOCIATED ABNORMALITY SEEN ON MRI
NIMG-23. DEEP LEARNING FOR ACCURATE, RAPID, FULLY AUTOMATIC MEASUREMENT OF BRAIN TUMOR-ASSOCIATED ABNORMALITY SEEN ON MRI Open
INTRODUCTION: Brain tumors are difficult to segment in MRI scans. Consequently, we have developed a new system for completely automatic brain tumor segmentation by combining a state-of-the-art 3D deep convolutional neural network (CNN) wit…
View article: NIMG-07. DEEP LEARNING DETECTS DIFFERENCES IN THE MRIs OF MALE AND FEMALE GLIOMAS
NIMG-07. DEEP LEARNING DETECTS DIFFERENCES IN THE MRIs OF MALE AND FEMALE GLIOMAS Open
INTRODUCTION: While a growing body of research on the intrinsic biological differences between male and female tumors and their environments continues to evolve, few deep learning techniques have been trained with a sex-specific focus. To …
View article: NIMG-21. SEX DIFFERENCES IN EXTREME SURVIVORSHIP AMONG PRIMARY GLIOBLASTOMA PATIENTS
NIMG-21. SEX DIFFERENCES IN EXTREME SURVIVORSHIP AMONG PRIMARY GLIOBLASTOMA PATIENTS Open
Glioblastoma (GBM) is an aggressive primary brain cancer that has a median overall survival (OS) of 15 months from diagnosis. Determining which pretreatment tumor characteristics are predictive of extreme survival (EXS) (OS > 1825 days) an…
View article: NIMG-06. KINETICS-BASED RESPONSE METRIC DISCRIMINATE IMPROVED OUTCOMES FOR PATIENTS RECEIVING BEVACIZUMAB-BASED THERAPIES
NIMG-06. KINETICS-BASED RESPONSE METRIC DISCRIMINATE IMPROVED OUTCOMES FOR PATIENTS RECEIVING BEVACIZUMAB-BASED THERAPIES Open
INTRODUCTION: Evaluating treatment response in glioblastoma is a difficult task for clinicians, particularly in recurrent disease. Current response metrics focus on changes in imageable tumor burden which can be ambiguously affected by ant…
View article: Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients
Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients Open
Background Sex is recognized as a significant determinant of outcome among glioblastoma patients, but the relative prognostic importance of glioblastoma features has not been thoroughly explored for sex differences. Methods Combining multi…