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1.
Trauma Case Rep ; 51: 100995, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38572422

ABSTRACT

Background: Blunt cardiac injuries rarely result in aortic valve cusp rupture, leading to acute aortic insufficiency and cardiogenic shock. This rare clinical entity carries a high mortality rate if left undiagnosed and not managed surgically, with few patients surviving beyond 24 h. It presents a diagnostic challenge in the polytrauma patient in shock, with multiple possible and complementary etiologies. Case presentation: We present a 56-year-old male with persistent hypotension, a wide pulse pressure, and elevated serum troponin levels suggesting blunt cardiac injury after a motor vehicle accident. Transthoracic and transesophageal echocardiography revealed normal biventricular function but severe aortic insufficiency due to prolapse of the left coronary cusp.He was taken emergently to surgery, where aortic valve exploration revealed complete left coronary cusp avulsion from the aortic annulus with a mid-cusp tear, requiring aortic valve replacement with a bioprosthetic valve. Postoperative echocardiography showed normal biventricular function with a well-seated bioprosthetic aortic valve with no insufficiency. Conclusions: Traumatic aortic valve injury can lead to torn or prolapsed cusps causing acute aortic insufficiency leading to cardiogenic shock, but early recognition with appropriate and targeted diagnostic imaging is vital to prevent rapid patient deterioration and demise.

2.
PLoS One ; 18(10): e0290393, 2023.
Article in English | MEDLINE | ID: mdl-37878622

ABSTRACT

OBJECTIVES: To evaluate the reliability of a novel segmentation-based volume rendering approach for quantification of benign central airway obstruction (BCAO). DESIGN: A retrospective single-center cohort study. SETTING: Data were ascertained using electronic health records at a tertiary academic medical center in the United States. PARTICIPANTS AND INCLUSION: Patients with airway stenosis located within the trachea on two-dimensional (2D) computed tomography (CT) imaging and documentation of suspected benign etiology were included. Four readers with varying expertise in quantifying tracheal stenosis severity were selected to manually segment each CT using a volume rendering approach with the available free tools in the medical imaging viewing software OsiriX (Bernex, Switzerland). Three expert thoracic radiologists were recruited to quantify the same CTs using traditional subjective methods on a continuous and categorical scale. OUTCOME MEASURES: The interrater reliability for continuous variables was calculated by the intraclass correlation coefficient (ICC) using a two-way mixed model with 95% confidence intervals (CI). RESULTS: Thirty-eight patients met the inclusion criteria, and fifty CT scans were selected for measurement. The most common etiology of BCAO was iatrogenic in 22 patients (58%). There was an even distribution of chest and neck CT imaging within our cohort. The average ICC across all four readers for the volume rendering approach was 0.88 (95% CI, 0.84 to 0.93), suggesting good to excellent agreement. The average ICC for thoracic radiologists for subjective methods on the continuous scale was 0.38 (95% CI, 0.20 to 0.55), suggesting poor to fair agreement. The kappa for the categorical approach was 0.26, suggesting a slight to fair agreement amongst the raters. CONCLUSION: In this retrospective cohort study, agreement was good to excellent for raters with varying expertise in airway cross-sectional imaging using a novel segmentation-based volume rendering approach to quantify BCAO. This proposed measurement outperformed our expert thoracic radiologists using conventional subjective grading methods.


Subject(s)
Tomography, X-Ray Computed , Humans , Retrospective Studies , Reproducibility of Results , Cohort Studies , Constriction, Pathologic , Tomography, X-Ray Computed/methods , Observer Variation
3.
Circ Res ; 132(10): 1387-1404, 2023 05 12.
Article in English | MEDLINE | ID: mdl-37167354

ABSTRACT

Infection with SARS-CoV-2, the virus that causes COVID, is associated with numerous potential secondary complications. Global efforts have been dedicated to understanding the myriad potential cardiovascular sequelae which may occur during acute infection, convalescence, or recovery. Because patients often present with nonspecific symptoms and laboratory findings, cardiac imaging has emerged as an important tool for the discrimination of pulmonary and cardiovascular complications of this disease. The clinician investigating a potential COVID-related complication must account not only for the relative utility of various cardiac imaging modalities but also for the risk of infectious exposure to staff and other patients. Extraordinary clinical and scholarly efforts have brought the international medical community closer to a consensus on the appropriate indications for diagnostic cardiac imaging during this protracted pandemic. In this review, we summarize the existing literature and reference major societal guidelines to provide an overview of the indications and utility of echocardiography, nuclear imaging, cardiac computed tomography, and cardiac magnetic resonance imaging for the diagnosis of cardiovascular complications of COVID.


Subject(s)
COVID-19 , Heart Diseases , Humans , SARS-CoV-2 , COVID-19/diagnostic imaging , COVID-19/complications , Heart , Heart Diseases/etiology , Multimodal Imaging/methods , Magnetic Resonance Imaging
4.
Clin Imaging ; 68: 191-196, 2020 Dec.
Article in English | MEDLINE | ID: mdl-32853842

ABSTRACT

The predominant pulmonary imaging findings on chest CT in the novel 2019 coronavirus infection (COVID-19) are bilateral ground glass opacities. The reverse halo sign is uncommon. This is a report of the new "bullseye sign," which is considered a variant of the reverse halo sign and favored to represent a focus of organizing pneumonia. The specificity of this finding is unclear, however its presence should alert radiologists to the possibility of COVID-19 infection.


Subject(s)
Betacoronavirus , Coronavirus Infections , Pandemics , Pneumonia, Viral , COVID-19 , Coronavirus Infections/epidemiology , Four-Dimensional Computed Tomography , Humans , Lung/diagnostic imaging , SARS-CoV-2
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