Journal ArticleAm J Cardiol · October 1, 2023
Papillary fibroelastomas are benign masses often originating from the endocardium of the aortic and mitral valves. Rarely, these neoplasms are found in areas of the heart embryonically distinct from the aortic and mitral valves. Diagnosis of a papillary fi ...
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Journal ArticleRadiol Clin North Am · July 2020
Preoperative assessment with computed tomography (CT) is critical before transcatheter interventions for structural heart disease. CT provides information for device selection, device sizing, and vascular access approach. The interpreting radiologist must ...
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Journal ArticleComput Biol Med · December 2019
PURPOSE: To determine whether deep learning-based algorithms applied to breast MR images can aid in the prediction of occult invasive disease following the diagnosis of ductal carcinoma in situ (DCIS) by core needle biopsy. MATERIALS AND METHODS: Our study ...
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Journal ArticleComput Biol Med · June 2019
RATIONALE AND OBJECTIVES: To determine whether deep learning models can distinguish between breast cancer molecular subtypes based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: In this institutional review board- ...
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Journal ArticleJ Magn Reson Imaging · June 2019
BACKGROUND: While important in diagnosis of breast cancer, the scientific assessment of the role of imaging in prognosis of outcomes and treatment planning is limited. PURPOSE: To evaluate the potential of using quantitative imaging variables for stratifyi ...
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Journal ArticleBreast Cancer Res Treat · January 2019
PURPOSE: To determine whether a multivariate machine learning-based model using computer-extracted features of pre-treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict pathologic complete response (pCR) to neoadjuvant therap ...
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Journal ArticleBreast Cancer Res Treat · November 2018
PURPOSE: The purpose of the study was to define quantitative measures of intra-tumor heterogeneity in breast cancer based on histopathology data gathered from multiple samples on individual patients and determine their association with distant recurrence-f ...
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Journal ArticleBr J Cancer · August 2018
BACKGROUND: Recent studies showed preliminary data on associations of MRI-based imaging phenotypes of breast tumours with breast cancer molecular, genomic, and related characteristics. In this study, we present a comprehensive analysis of this relationship ...
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Journal ArticleMed Phys · July 2018
PURPOSE: To review features used in MRI radiomics of breast cancer and study the inter-reader stability of the features. METHODS: We implemented 529 algorithmic features that can be extracted from tumor and fibroglandular tissue (FGT) in breast MRIs. The f ...
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Journal ArticleJ Cancer Res Clin Oncol · May 2018
PURPOSE: To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores. METHODS: A set of 261 female ...
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ConferenceProgress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2018
One of the methods widely used to measure the proliferative activity of cells in breast cancer patients is the immunohistochemical (IHC) measurement of the percentage of cells stained for nuclear antigen Ki-67. Use of Ki-67 expression as a prognostic marke ...
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ConferenceProgress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2018
Approximately 25% of patients with ductal carcinoma in situ (DCIS) diagnosed from core needle biopsy are subsequently upstaged to invasive cancer at surgical excision. Identifying patients with occult invasive disease is important as it changes treatment a ...
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ConferenceProgress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2018
Radiogenomics is a field of investigation that attempts to examine the relationship between imaging characteris-tics of cancerous lesions and their genomic composition. This could offer a noninvasive alternative to establishing genomic characteristics of t ...
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Journal ArticleJ Magn Reson Imaging · November 2017
PURPOSE: To assess the ability of algorithmically assessed magnetic resonance imaging (MRI) features to predict the likelihood of upstaging to invasive cancer in newly diagnosed ductal carcinoma in situ (DCIS). MATERIALS AND METHODS: We identified 131 pati ...
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Journal ArticleBreast Cancer Res Treat · February 2017
PURPOSE: Given the potential savings in cost and resource utilization, several algorithms have been proposed to predict Oncotype DX recurrence score (ODX RS) using commonly acquired histopathologic variables. Although it is promising, additional independen ...
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ConferenceProgress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2017
Medical oncologists increasingly rely on expensive genomic analysis to stratify patients for different treatment. The genomic markers are able to divide patients into groups that behave differently in terms of tumor presentation, likelihood of metastatic s ...
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Journal ArticleMed Phys · August 2016
PURPOSE: To assess the interobserver variability of readers when outlining breast tumors in MRI, study the reasons behind the variability, and quantify the effect of the variability on algorithmic imaging features extracted from breast MRI. METHODS: Four r ...
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Journal ArticleAm J Cardiol · October 1, 2023
Papillary fibroelastomas are benign masses often originating from the endocardium of the aortic and mitral valves. Rarely, these neoplasms are found in areas of the heart embryonically distinct from the aortic and mitral valves. Diagnosis of a papillary fi ...
Full textLink to itemCite
Journal ArticleRadiol Clin North Am · July 2020
Preoperative assessment with computed tomography (CT) is critical before transcatheter interventions for structural heart disease. CT provides information for device selection, device sizing, and vascular access approach. The interpreting radiologist must ...
Full textLink to itemCite
Journal ArticleComput Biol Med · December 2019
PURPOSE: To determine whether deep learning-based algorithms applied to breast MR images can aid in the prediction of occult invasive disease following the diagnosis of ductal carcinoma in situ (DCIS) by core needle biopsy. MATERIALS AND METHODS: Our study ...
Full textLink to itemCite
Journal ArticleComput Biol Med · June 2019
RATIONALE AND OBJECTIVES: To determine whether deep learning models can distinguish between breast cancer molecular subtypes based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS: In this institutional review board- ...
Full textLink to itemCite
Journal ArticleJ Magn Reson Imaging · June 2019
BACKGROUND: While important in diagnosis of breast cancer, the scientific assessment of the role of imaging in prognosis of outcomes and treatment planning is limited. PURPOSE: To evaluate the potential of using quantitative imaging variables for stratifyi ...
Full textLink to itemCite
Journal ArticleBreast Cancer Res Treat · January 2019
PURPOSE: To determine whether a multivariate machine learning-based model using computer-extracted features of pre-treatment dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) can predict pathologic complete response (pCR) to neoadjuvant therap ...
Full textLink to itemCite
Journal ArticleBreast Cancer Res Treat · November 2018
PURPOSE: The purpose of the study was to define quantitative measures of intra-tumor heterogeneity in breast cancer based on histopathology data gathered from multiple samples on individual patients and determine their association with distant recurrence-f ...
Full textLink to itemCite
Journal ArticleBr J Cancer · August 2018
BACKGROUND: Recent studies showed preliminary data on associations of MRI-based imaging phenotypes of breast tumours with breast cancer molecular, genomic, and related characteristics. In this study, we present a comprehensive analysis of this relationship ...
Full textLink to itemCite
Journal ArticleMed Phys · July 2018
PURPOSE: To review features used in MRI radiomics of breast cancer and study the inter-reader stability of the features. METHODS: We implemented 529 algorithmic features that can be extracted from tumor and fibroglandular tissue (FGT) in breast MRIs. The f ...
Full textLink to itemCite
Journal ArticleJ Cancer Res Clin Oncol · May 2018
PURPOSE: To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores. METHODS: A set of 261 female ...
Full textLink to itemCite
ConferenceProgress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2018
One of the methods widely used to measure the proliferative activity of cells in breast cancer patients is the immunohistochemical (IHC) measurement of the percentage of cells stained for nuclear antigen Ki-67. Use of Ki-67 expression as a prognostic marke ...
Full textCite
ConferenceProgress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2018
Approximately 25% of patients with ductal carcinoma in situ (DCIS) diagnosed from core needle biopsy are subsequently upstaged to invasive cancer at surgical excision. Identifying patients with occult invasive disease is important as it changes treatment a ...
Full textCite
ConferenceProgress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2018
Radiogenomics is a field of investigation that attempts to examine the relationship between imaging characteris-tics of cancerous lesions and their genomic composition. This could offer a noninvasive alternative to establishing genomic characteristics of t ...
Full textCite
Journal ArticleJ Magn Reson Imaging · November 2017
PURPOSE: To assess the ability of algorithmically assessed magnetic resonance imaging (MRI) features to predict the likelihood of upstaging to invasive cancer in newly diagnosed ductal carcinoma in situ (DCIS). MATERIALS AND METHODS: We identified 131 pati ...
Full textLink to itemCite
Journal ArticleBreast Cancer Res Treat · February 2017
PURPOSE: Given the potential savings in cost and resource utilization, several algorithms have been proposed to predict Oncotype DX recurrence score (ODX RS) using commonly acquired histopathologic variables. Although it is promising, additional independen ...
Full textLink to itemCite
ConferenceProgress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2017
Medical oncologists increasingly rely on expensive genomic analysis to stratify patients for different treatment. The genomic markers are able to divide patients into groups that behave differently in terms of tumor presentation, likelihood of metastatic s ...
Full textCite
Journal ArticleMed Phys · August 2016
PURPOSE: To assess the interobserver variability of readers when outlining breast tumors in MRI, study the reasons behind the variability, and quantify the effect of the variability on algorithmic imaging features extracted from breast MRI. METHODS: Four r ...
Full textLink to itemCite
Journal ArticleSurg Neurol Int · 2016
BACKGROUND: The surgical treatment of adult scoliosis frequently involves long segment fusions across the lumbosacral joints that redistribute tremendous amounts of force to the remaining mobile spinal segments as well as to the pelvis and hip joints. Whet ...
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