
Virginia HinostrozaStanford University | SU · Department of Radiology
Virginia Hinostroza
About
12
Publications
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79
Citations
Citations since 2017
Introduction
Skills and Expertise
Publications
Publications (12)
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...