Virginia Hinostroza

Virginia Hinostroza
Stanford University | SU · Department of Radiology

About

12
Publications
568
Reads
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79
Citations
Citations since 2017
12 Research Items
79 Citations
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Publications

Publications (12)
Article
Purpose: To describe the design and methodological approach of a multicenter, retrospective study to externally validate a clinical and imaging-based model for predicting the risk of late adverse events in patients with initially uncomplicated type B aortic dissection (uTBAD). Materials and methods: The Registry of Aortic Diseases to Model Adver...
Article
Objectives Establishing the reproducibility of expert-derived measurements on CTA exams of aortic dissection is clinically important and paramount for ground-truth determination for machine learning.Methods Four independent observers retrospectively evaluated CTA exams of 72 patients with uncomplicated Stanford type B aortic dissection and assessed...
Chapter
Machine learning (ML) and deep learning (DL) algorithms have recently gained traction in the field of aortic imaging for their potential to provide novel insights and to standardize the extraction of imaging features while delivering accurate and reproducible results. With DL algorithms, it is now possible to model complex relationships within vast...
Conference Paper
Patients with initially uncomplicated typeB aortic dissection (uTBAD) remain at high risk for developing late complications. Identification of morphologic features for improving risk stratification of these patients requires automated segmentation of computed tomography angiography (CTA) images. We developed three segmentation models utilizing a 3D...
Article
Full-text available
Purpose To determine whether multiphasic dual­energy (DE) CT iodine quantitation correlates with the severity of chronic liver disease. Methods We retrospectively included 40 cirrhotic and 28 non-cirrhotic patients who underwent a multiphasic liver protocol DECT. All three phases (arterial, portal venous (PVP), and equilibrium) were performed in D...
Article
Full-text available
This paper summarizes the 2020 Diversity in Radiology and Molecular Imaging: What We Need to Know Conference, a three-day virtual conference held September 9–11, 2020. The World Molecular Imaging Society (WMIS) and Stanford University jointly organized this event to provide a forum for WMIS members and affiliates worldwide to openly discuss issues...
Article
Background Identifying high-risk patients who will not derive substantial survival benefit from TAVR remains challenging. Pulmonary hypertension is a known predictor of poor outcome in patients undergoing TAVR and correlates strongly with pulmonary artery (PA) enlargement on CTA. We sought to evaluate whether PA enlargement, measured on pre-procedu...
Article
PurposeTo determine whether multiphasic dual­energy (DE) CT iodine quantitation correlates with the severity of chronic liver disease.Methods We retrospectively included 40 cirrhotic and 28 non-cirrhotic patients who underwent a multiphasic liver protocol DECT. All three phases (arterial, portal venous (PVP), and equilibrium) were performed in DE m...
Article
Full-text available
The purpose of this study was to assess in pediatric pulmonary artery (PA) reconstruction candidates the feasibility and added utility of preoperative chest computed tomography angiography (CTA) using dual-energy technique, from which perfused blood volume (PBV)/iodine maps can be generated as a surrogate of pulmonary perfusion. Pediatric PA recons...
Article
Background: Limited intimal tears (LITs) of the aorta (Class 3 dissection variant) are the least common form of aortic pathology in patients presenting with acute aortic syndrome (AAS). LITs are difficult to detect on imaging and may be underappreciated. Objectives: This study sought to describe the frequency, pathology, treatment, and outcome o...

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