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460 results on '"Rinaldo, Lorenzo"'

2. Microvascular decompression of a vertebral artery loop causing cervical radiculopathy: illustrative case.

Author

Semonche, Alexa, Rinaldo, Lorenzo, Lee, Young, Dubnicoff, Todd, Matles, Harlan, Chou, Dean, Abla, Adib, and Chang, Edward

Subjects
cervical radiculopathy, microvascular decompression, vertebral artery loop
Abstract

BACKGROUND: Vertebral artery loops are a rare cause of cervical radiculopathy. Surgical options for nerve root decompression include an anterior or posterior approach, with or without additional microvascular decompression. OBSERVATIONS: The authors describe a case of a 49-year-old man with a long-standing history of left-sided neck pain and migraines, who was found to have a vertebral artery loop in the left C3-4 neural foramen compressing the left C4 nerve root. The patient underwent a posterior cervical decompression with instrumented fusion and macrovascular decompression of the left C4 nerve root via Teflon felt insertion. In a literature review, we identified 20 similar cases that had also been managed surgically. LESSONS: Although the anterior approach is more frequently described in the literature, a posterior approach for nerve compression by a vertebral artery loop is also a safe and effective treatment. The authors report the third case of this surgical approach with a good outcome.

Published
2024

7. Carotid Artery Stenting

Author

Rinaldo, Lorenzo, Castilla, Leonardo Rangel, Park, Min S., editor, Kalani, M. Yashar S., editor, de Havenon, Adam, editor, and McNally, J. Scott, editor

Published
2020
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25. Middle meningeal artery embolization for chronic subdural hematoma: A single-center experience and predictive modeling of outcomes.

Author

Cohen-Cohen, Salomon, Jabal, Mohamed Sobhi, Rinaldo, Lorenzo, Savastano, Luis E, Lanzino, Giuseppe, Cloft, Harry, and Brinjikji, Waleed

Abstract

Background: Remarkable interest is rising around middle meningeal artery embolization (MMAE) as an emerging alternative therapy for chronic subdural hematoma (cSDH). The study aims to highlight a large center experience and the variables associated with treatment failure and build experimental machine learning (ML) models for outcome prediction. Material and Methods: A 2-year experience in MMAE for managing patients with chronic subdural hematoma was analyzed. Descriptive statistical analysis was conducted using imaging and clinical features of the patients and cSDH, which were subsequently used to build predictive models for the procedure outcome. The modeling evaluation metrics were the area under the ROC curve and F1-score. Results: A total of 100 cSDH of 76 patients who underwent MMAE were included with an average follow-up of 6 months. The intervention had a per procedure success rate of 92%. Thrombocytopenia had a highly significant association with treatment failure. Two patients suffered a complication related to the procedure. The best performing machine learning models in predicting MMAE failure achieved an ROC-AUC of 70%, and an F1-score of 67%, including all patients with or without surgical intervention prior to embolization, and an ROC-AUC of 82% and an F1-score of 69% when only patients who underwent upfront MMAE were included. Conclusion: MMAE is a safe and minimally invasive procedure with great potential in transforming the management of cSDH and reducing the risk of surgical complications in selected patients. An ML approach with larger sample size might help better predict outcomes and highlight important predictors following MMAE in patients with cSDH. [ABSTRACT FROM AUTHOR]

Published
2024
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32. Angiographic cross-filling between inferior petrosal sinuses and alteration of adrenocorticotropic hormone sampling results for tumor localization in Cushing disease

Author

Martini, Michael L., primary, Ransom, R. Chase, additional, Rechberger, Julian S., additional, O’Keeffe, Derek, additional, Young, William, additional, Atkinson, John L. D., additional, Meyer, Fredric B., additional, Rinaldo, Lorenzo, additional, Carlstrom, Lucas, additional, Cloft, Harry J., additional, and Van Gompel, Jamie, additional

Published
2023
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