EBUS-TBNA is safe and effective in the diagnosis of EBUS-visible intrapulmonary lesions. It should be considered as the diagnostic test of choice in patients with these lesions undergoing EBUS-TBNA for the staging of suspected lung cancer.
Purpose Cerebral hyperdensities can appear on head computed tomography (CT) images performed early after endovascular treatment (EVT) in patients with acute ischemic stroke and may be secondary to contrast staining or hemorrhagic transformation. The aim of this study was to determine how the high-density sign on CT affects mortality and clinical outcome and whether CT parameters predict hemorrhagic conversion or unfavorable outcome. Methods We retrospectively reviewed a database of patients who underwent EVT with mechanical thrombectomy for acute ischemic stroke over 7 years. Included were acute stroke patients with a CT examination within 24 h post-EVT with mechanical thrombectomy, demonstrating areas of hyperdensity. We evaluated morphologic characteristics of these lesions, location, CT Hounsfield units and largest area, as well as patient demographics, EVT methods and patient outcome. Results A total of 29 patients met the strict inclusion criteria. Complete recanalization was achieved in 58.6% (17/29). Seventeen (58.6%) cases of post-intervention cerebral hyperdensities were related to contrast staining and 12 (41.4%) cases to contrast staining and hemorrhage. Patient mortality was significantly higher in the hemorrhagic group (50.0% versus 5.9%, p = 0.003). The increased density on CT was associated with higher hemorrhagic risk (odds ratio 1.05, p = 0.036). Conclusion Patients with the high-density sign on CT images after mechanical thrombectomy for acute ischemic stroke demonstrated increased mortality and worse clinical outcome, primarily when these hyperdensities were related to hemorrhage. CT imaging parameters as higher density areas can help in the differentiation of hemorrhage from contrast staining.
BackgroundThe COVID-19 pandemic has changed the way medicine is practiced, including the implementation of virtual care in many specialties. In the field of interventional neuroradiology (INR), virtual clinics are an uncommon practice with minimal literature to support its use. Our objective was to report prospective, single-centre data regarding patient and physician experience with virtual INR clinics for routine follow-up appointments.MethodsWe surveyed all patients that participated in a virtual INR clinic follow-up appointment at our hospital over a 3 month period. Information gathered included length of appointment delays (ie, wait times), length of appointment times, overall satisfaction, and perceived safety metrics. A survey was also sent out to all physicians who participated in virtual clinics with similar questions.Results118/122 patients and 6/6 physicians completed the survey. Wait times before previous in-person appointments were perceived to be much longer than virtual appointments, whereas in-person appointment times were longer. 112/118 (94.9%) patients and 4/6 (67%) physicians reported general satisfaction with their virtual clinic experience. There were 8/118 patients who felt their conditions could not be safely assessed virtually, compared with 1/6 (17%) physicians. Lastly, 72.2% of patients reported that they would prefer virtual or telephone visits in the future for non-urgent follow-up, and 5/6 (83%) of physicians reported the same.ConclusionVirtual INR clinics are more efficient and are preferred among patients and physicians for non-urgent follow-up appointments. Our study demonstrates the feasibility of a virtual platform for INR care, which could be sustainable for future practice.
Objective: Percutaneous biopsy of lung nodules is established as a safe procedure with high diagnostic yield and accuracy. Its role in the diagnosis of subcentimeter nodules is, however, less clear. The goal of this study was to evaluate diagnostic yield, accuracy, and safety of computed tomography (CT)-guided needle biopsy in the diagnosis of subcentimeter lung nodules. Material and Methods: A retrospective review of a prospectively maintained database over a 12-year period identified 133 eligible CT-guided needle biopsies of lesions ≤1 cm. Diagnostic yield and accuracy for the diagnosis of malignancy were calculated. Lesion features and procedure characteristics were assessed using univariate and multivariate logistic regression analysis to identify risk factors associated with biopsy failure and complications. Results: Biopsy specimens were adequate for diagnosis in 116/133(87%) cases; the diagnostic yield for malignant and benign lesions was 93% and 65%, respectively. Final benign diagnosis was the strongest independent risk factor for biopsy failure. In multivariate logistic regression, fine-needle aspiration was an independent risk factor for diagnostic failure. Core needle biopsy was an independent risk factor for pneumothorax, and core needle biopsy, number of passes, and age were independent risk factors for pneumothorax requiring tube drainage. Conclusions: CT-guided percutaneous needle biopsy had high diagnostic yield for the diagnosis of subcentimeter lung nodules with a similar complication rate to biopsy of larger lesions. Fine-needle aspiration may be an independent factor for diagnostic failure even for malignant lesions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.