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Background: The co-occurrence of Rathke cleft cysts (RCCs) and meningiomas in the sellar and parasellar regions represents an exceedingly rare clinical entity. Achieving maximal resection through a single operative approach while minimizing adverse events is challenging, often necessitating multiple surgical approaches, as suggested by previous reports.

Observations: The authors report the case of a 49-year-old female with a history of kidney transplant who presented with headaches and was diagnosed with coexisting RCC and meningioma in the sellar and planum sphenoidale regions, respectively.

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Purpose: To evaluate the correlation between the degrees of circumferential decompression of the optic canal (OC) and the improvement of visual acuity in patients with parasellar meningiomas (PMs) with optic canal invasion.

Methods: This is a monocentric retrospective study conducted at author's institution. The visual acuity was evaluated preoperative and at 3-months after surgery with Snellen acuity test.

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Introduction: Sellar and parasellar tumors are frequent lesions in neurosurgical practice, highlighting pituitary adenomas, craniopharyngiomas, and sellar tubercle meningiomas. The clinical manifestations are similar, however; There are imaging aspects that differentiate them.

Objective: Show imaging aspects of tumors in the sellar and parasellar region that guide their histopathological diagnosis.

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Objective: Carotid artery injury is a rare, but major complication of endonasal operations. The morbidity and mortality of such a complication can be mitigated by preparedness and a clear plan set in place to address the hemorrhage expeditiously. This study examines the implementation of such a carotid injury timeout checklist and demonstrates its effectiveness in a patient with possible arterial injury.

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Applications and Integration of Radiomics for Skull Base Oncology.

Adv Exp Med Biol

November 2024

Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Article Synopsis
  • Radiomics uses quantitative methods to analyze medical images, revealing hidden patterns that may serve as noninvasive biomarkers in skull base oncology.
  • Applications mainly focus on three tumor types: meningioma, sellar/parasellar tumors, and vestibular schwannomas, with investigations covering areas like tumor detection, classification, grading, and prognosis.
  • Despite advancements and the use of deep-learning methods, challenges such as small sample sizes and limited diversity in data hinder broader adoption, highlighting the need for multi-institutional collaboration to validate radiomic technologies.
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