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Article
Open AccessPreventing inadvertent drain removal using a novel catheter securement device
Percutaneous drains have provided a minimally invasive way to treat a wide range of disorders from abscess drainage to enteral feeding solutions to treating hydronephrosis. These drains suffer from a high rate...
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Article
Open AccessThe double-balloon technique: a safe and effective adjunctive technique in patients undergoing arterial therapy for hepatic malignancies with vascular supply not amenable to selective administration
During catheter directed intraarterial therapy for liver lesions, challenging hepatic vascular anatomy can sometimes prevent selective administration of treatment delivery to liver tumors leading to increased ...
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Article
Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infrainguinal Endovascular Interventions for Peripheral Arterial Disease
Severe peripheral artery disease (PAD) may result in lower extremity amputation or require multiple procedures to achieve limb salvage. Current prediction models for major amputation risk have had limited perf...
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Chapter
Abdominal Aortic Aneurysms
Abdominal aortic aneurysms (AAAs) have a prevalence of 4–7% in adults aged 65–80 years old, with the prevalence increasing with increasing age. AAA is most prevalent in white men with the ratio of men to women...
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Article
Open AccessGender disparities among medical students choosing to pursue careers in medical research: a secondary cross-sectional cohort analysis
Though the proportion of women in medical schools has increased, gender disparities among those who pursue research careers still exists. In this study, we seek to better understand the main factors contributi...
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Article
Analysis of socioeconomic and demographic factors and imaging exam characteristics associated with missed appointments in pediatric radiology
Missed appointments can have an adverse impact on health outcomes by delaying appropriate imaging, which can be critical in influencing treatment decisions.
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Article
Quantitative tumor heterogeneity MRI profiling improves machine learning–based prognostication in patients with metastatic colon cancer
Intra-tumor heterogeneity has been previously shown to be an independent predictor of patient survival. The goal of this study is to assess the role of quantitative MRI-based measures of intra-tumor heterogene...
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Article
Role of Machine Learning and Artificial Intelligence in Interventional Oncology
The purpose of this review is to highlight the current role of machine learning and artificial intelligence and in the field of interventional oncology.
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Article
Open AccessFactors associated with underrepresented minority physician scientist trainee career choices
Recently, there have been concerted efforts to improve racial and ethnic diversity in the physician-scientist workforce. Identifying factors associated with career choices among those underrepresented in medic...
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Article
CT Texture Analysis and Machine Learning Improve Post-ablation Prognostication in Patients with Adrenal Metastases: A Proof of Concept
To assess the performance of pre-ablation computed tomography texture features of adrenal metastases to predict post-treatment local progression and survival in patients who underwent ablation using machine le...
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Article
Open AccessExploring intentions of physician-scientist trainees: factors influencing MD and MD/PhD interest in research careers
Prior studies have described the career paths of physician-scientist candidates after graduation, but the factors that influence career choices at the candidate stage remain unclear. Additionally, previous wor...
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Article
Open AccessPreliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density measures in a case–control study with digital mammography
Breast density, commonly quantified as the percentage of mammographically dense tissue area, is a strong breast cancer risk factor. We investigated associations between breast cancer and fully automated measur...
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Chapter and Conference Paper
A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model
We present a multichannel extension of Markov random fields (MRFs) for incorporating multiple feature streams in the MRF model. We prove that for making inference queries, any multichannel MRF can be reduced t...
